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2025
[j189]
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Chengkun Wang, Wenzhao Zheng, Xian Sun, Jie Zhou, Jiwen Lu:
Probabilistic deep metric learning for hyperspectral image classification. Pattern Recognit. 157: 110878 (2025)
2024
[j188]
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Ziwei Wang, Han Xiao, Jie Zhou, Jiwen Lu:
Learning Generalizable Mixed-Precision Quantization via Attribution Imitation. Int. J. Comput. Vis. 132(11): 5101-5123 (2024)
[j187]
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Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu:
Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation. Int. J. Comput. Vis. 132(12): 6069-6090 (2024)
[j186]
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Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Back to Reality: Learning Data-Efficient 3D Object Detector With Shape Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1165-1180 (2024)
[j185]
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Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1964-1980 (2024)
[j184]
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Wenliang Zhao, Yongming Rao, Jie Zhou, Jiwen Lu:
DIML: Deep Interpretable Metric Learning via Structural Matching. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2518-2532 (2024)
[j183]
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Yu Zheng, Yueqi Duan, Zongtai Li, Jie Zhou, Jiwen Lu:
Learning Dynamic Scene-Conditioned 3D Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2981-2996 (2024)
[j182]
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Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4381-4397 (2024)
[j181]
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Bingyao Yu, Wanhua Li, Li Xiu, Jie Zhou, Jiwen Lu:
Uncertainty-aware hierarchical labeling for face forgery detection. Pattern Recognit. 153: 110526 (2024)
[j180]
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Zhenyu Wu, Ziwei Wang, Shengyu Liu, Hao Luo, Jiwen Lu, Haibin Yan:
FairScene: Learning unbiased object interactions for indoor scene synthesis. Pattern Recognit. 156: 110737 (2024)
[j179]
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  - journals/tcsv/ZhaoZDZL24
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Linqing Zhao, Wenzhao Zheng, Yueqi Duan, Jie Zhou, Jiwen Lu:
SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2439-2452 (2024)
[j178]
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Kangjie Liu, Borui Zhang, Jiwen Lu, Haibin Yan:
Toward Integrity and Detail With Ensemble Learning for Salient Object Detection in Optical Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)
[j177]
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Linqing Zhao, Yi Wei, Jiaxin Li, Jie Zhou, Jiwen Lu:
Structure-Aware Cross-Modal Transformer for Depth Completion. IEEE Trans. Image Process. 33: 1016-1031 (2024)
[j176]
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Jingyi Zhang, Ziwei Wang, Haoyu Wang, Jie Zhou, Jiwen Lu:
Anycost Network Quantization for Image Super-Resolution. IEEE Trans. Image Process. 33: 2279-2292 (2024)
[j175]
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Linqing Zhao, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
StructLane: Leveraging Structural Relations for Lane Detection. IEEE Trans. Image Process. 33: 3692-3706 (2024)
[j174]
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Yu Zheng, Jiwen Lu, Yueqi Duan, Jie Zhou:
Structural Relation Modeling of 3D Point Clouds. IEEE Trans. Image Process. 33: 4867-4881 (2024)
[j173]
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Yueqi Duan, Haowen Sun, Juncheng Yan, Jiwen Lu, Jie Zhou:
Learning Cross-Attention Point Transformer With Global Porous Sampling. IEEE Trans. Image Process. 33: 6283-6297 (2024)
[j172]
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Shuai Shen, Wanhua Li, Xiaoke Huang, Zheng Zhu, Jie Zhou, Jiwen Lu:
SD-NeRF: Towards Lifelike Talking Head Animation via Spatially-Adaptive Dual-Driven NeRFs. IEEE Trans. Multim. 26: 3221-3234 (2024)
[j171]
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Yixuan Zhu, Wenliang Zhao, Yansong Tang, Yongming Rao, Jie Zhou, Jiwen Lu:
StableSwap: Stable Face Swapping in a Shared and Controllable Latent Space. IEEE Trans. Multim. 26: 7594-7607 (2024)
[j170]
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Shuai Zeng, Wenzhao Zheng, Jiwen Lu, Haibin Yan:
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection. IEEE Trans. Multim. 26: 9644-9656 (2024)
[j169]
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  - journals/tvt/LiZWDXL24
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Lulu Li, Ruijie Zhu, Shuning Wu, Wenting Ding, Mingliang Xu, Jiwen Lu:
Adaptive Multi-Agent Deep Mixed Reinforcement Learning for Traffic Light Control. IEEE Trans. Veh. Technol. 73(2): 1803-1816 (2024)
[c258]
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  - conf/cvpr/ZhuZLT0L24
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Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. CVPR 2024: 13-22
[c257]
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Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, Jiwen Lu:
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery. CVPR 2024: 1101-1110
[c256]
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  - conf/cvpr/SunRLY24
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Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan:
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. CVPR 2024: 5074-5083
[c255]
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  - conf/cvpr/YeYYXTLC024
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Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang:
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. CVPR 2024: 5578-5588
[c254]
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  - conf/cvpr/ZhaoX0ZZZDZL24
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Linqing Zhao, Xiuwei Xu, Ziwei Wang, Yunpeng Zhang, Borui Zhang, Wenzhao Zheng, Dalong Du, Jie Zhou, Jiwen Lu:
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction. CVPR 2024: 9806-9815
[c253]
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  - conf/cvpr/HuangWT00LW024
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Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu:
Segment and Caption Anything. CVPR 2024: 13405-13417
[c252]
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  - conf/cvpr/CaoYLYTLC24
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Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen:
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. CVPR 2024: 15710-15719
[c251]
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  - conf/cvpr/Wang0XT0L24
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Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Towards Accurate Post-Training Quantization for Diffusion Models. CVPR 2024: 16026-16035
[c250]
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  - conf/cvpr/ZhangBCCLWT24
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Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang:
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CVPR 2024: 18430-18439
[c249]
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  - conf/cvpr/HuangZZZL24
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Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu:
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. CVPR 2024: 19946-19956
[c248]
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  - conf/cvpr/SunDYLL24
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Haowen Sun, Yueqi Duan, Juncheng Yan, Yifan Liu, Jiwen Lu:
MirageRoom: 3D Scene Segmentation with 2D Pre-Trained Models by Mirage Projection. CVPR 2024: 20237-20246
[c247]
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  - conf/cvpr/XuXWZDZL24
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Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu:
Memory-based Adapters for Online 3D Scene Perception. CVPR 2024: 21604-21613
[c246]
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  - conf/eccv/XiaoZZGZL24
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Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu:
SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding. ECCV (13) 2024: 37-54
[c245]
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  - conf/eccv/LiuLWDCRKL24
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Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu:
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. ECCV (17) 2024: 54-69
[c244]
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  - conf/eccv/WangZHCZL24
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Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiagang Zhu, Jiwen Lu:
DriveDreamer: Towards Real-World-Drive World Models for Autonomous Driving. ECCV (48) 2024: 55-72
[c243]
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  - conf/eccv/ZhengCHZDL24
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Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, Jiwen Lu:
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving. ECCV (13) 2024: 55-72
[c242]
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  - conf/eccv/YuWZL24
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Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu:
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype. ECCV (50) 2024: 270-286
[c241]
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  - conf/eccv/LuZWLLT24
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Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. ECCV (35) 2024: 349-366
[c240]
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Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu:
DSPDet3D: 3D Small Object Detection with Dynamic Spatial Pruning. ECCV (28) 2024: 355-373
[c239]
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  - conf/eccv/HuangZZZL24
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Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction. ECCV (27) 2024: 376-393
[c238]
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Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu:
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. ECCV (11) 2024: 450-466
[c237]
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Path Choice Matters for Clear Attributions in Path Methods. ICLR 2024
[i160]
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  - journals/corr/abs-2401-09985
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Xiaofeng Wang, Zheng Zhu, Guan Huang, Boyuan Wang, Xinze Chen, Jiwen Lu:
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens. CoRR abs/2401.09985 (2024)
[i159]
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  - journals/corr/abs-2401-10442
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Path Choice Matters for Clear Attribution in Path Methods. CoRR abs/2401.10442 (2024)
[i158]
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  - journals/corr/abs-2403-02991
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Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen:
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. CoRR abs/2403.02991 (2024)
[i157]
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  - journals/corr/abs-2403-06974
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Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu:
Memory-based Adapters for Online 3D Scene Perception. CoRR abs/2403.06974 (2024)
[i156]
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  - journals/corr/abs-2403-08321
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Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. CoRR abs/2403.08321 (2024)
[i155]
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  - journals/corr/abs-2403-10925
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Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen, Yansong Tang, Jie Zhou, Jiwen Lu:
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution. CoRR abs/2403.10925 (2024)
[i154]
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  - journals/corr/abs-2403-12966
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Zuyan Liu, Yuhao Dong, Yongming Rao, Jie Zhou, Jiwen Lu:
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models. CoRR abs/2403.12966 (2024)
[i153]
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  - journals/corr/abs-2403-15835
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Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang:
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. CoRR abs/2403.15835 (2024)
[i152]
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  - journals/corr/abs-2404-01424
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Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, Jiwen Lu:
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery. CoRR abs/2404.01424 (2024)
[i151]
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  - journals/corr/abs-2404-05029
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Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, Yansong Tang:
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment. CoRR abs/2404.05029 (2024)
[i150]
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Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang:
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CoRR abs/2404.14471 (2024)
[i149]
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Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan:
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. CoRR abs/2404.15010 (2024)
[i148]
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  - journals/corr/abs-2405-03520
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Zheng Zhu, Xiaofeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng, Min Dou, Yuqi Wang, Botian Shi, Kai Wang, Chi Zhang, Yang You, Zhaoxiang Zhang, Dawei Zhao, Liang Xiao, Jian Zhao, Jiwen Lu, Guan Huang:
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond. CoRR abs/2405.03520 (2024)
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  - journals/corr/abs-2405-17422
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Shuai Zeng, Wenzhao Zheng, Jiwen Lu, Haibin Yan:
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection. CoRR abs/2405.17422 (2024)
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Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction. CoRR abs/2405.17429 (2024)
[i145]
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Lening Wang, Wenzhao Zheng, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jiwen Lu:
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving. CoRR abs/2405.20337 (2024)
[i144]
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  - journals/corr/abs-2406-00508
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Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. CoRR abs/2406.00508 (2024)
[i143]
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  - journals/corr/abs-2406-11818
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Zhenyu Wu, Ziwei Wang, Xiuwei Xu, Jiwen Lu, Haibin Yan:
Embodied Instruction Following in Unknown Environments. CoRR abs/2406.11818 (2024)
[i142]
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  - journals/corr/abs-2406-15333
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Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang:
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation. CoRR abs/2406.15333 (2024)
[i141]
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  - journals/corr/abs-2407-18121
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Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu:
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR abs/2407.18121 (2024)
[i140]
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  - journals/corr/abs-2407-19547
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Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR abs/2407.19547 (2024)
[i139]
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  - journals/corr/abs-2408-11811
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Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu:
EmbodiedSAM: Online Segment Any 3D Thing in Real Time. CoRR abs/2408.11811 (2024)
[i138]
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  - journals/corr/abs-2409-03755
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Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu:
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. CoRR abs/2409.03755 (2024)
[i137]
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  - journals/corr/abs-2409-12961
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Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao:
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution. CoRR abs/2409.12961 (2024)
[i136]
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  - journals/corr/abs-2409-18128
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Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu:
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner. CoRR abs/2409.18128 (2024)
[i135]
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  - journals/corr/abs-2409-20043
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Yu Zheng, Yueqi Duan, Kangfu Zheng, Hongru Yan, Jiwen Lu, Jie Zhou:
OPONeRF: One-Point-One NeRF for Robust Neural Rendering. CoRR abs/2409.20043 (2024)
[i134]
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  - journals/corr/abs-2410-08119
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Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Q-VLM: Post-training Quantization for Large Vision-Language Models. CoRR abs/2410.08119 (2024)
[i133]
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  - journals/corr/abs-2410-08189
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Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu:
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation. CoRR abs/2410.08189 (2024)
[i132]
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  - journals/corr/abs-2410-10316
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Chengkun Wang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
GlobalMamba: Global Image Serialization for Vision Mamba. CoRR abs/2410.10316 (2024)
[i131]
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  - journals/corr/abs-2410-10382
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Chengkun Wang, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu:
V2M: Visual 2-Dimensional Mamba for Image Representation Learning. CoRR abs/2410.10382 (2024)
[i130]
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  - journals/corr/abs-2410-18979
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Xin Fei, Wenzhao Zheng, Yueqi Duan, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Jiwen Lu:
PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views. CoRR abs/2410.18979 (2024)
2023
[j168]
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Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, Jie Zhou:
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression. Int. J. Comput. Vis. 131(7): 1761-1783 (2023)
[j167]
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  - journals/pacmhci/DuanYFHL023
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Yongjie Duan, Jinyang Yu, Jianjiang Feng, Ke He, Jiwen Lu, Jie Zhou:
3D Finger Rotation Estimation from Fingerprint Images. Proc. ACM Hum. Comput. Interact. 7(ISS): 114-134 (2023)
[j166]
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Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai:
Egocentric Action Recognition by Automatic Relation Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 489-507 (2023)
[j165]
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Ziwei Wang, Han Xiao, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Deep Binary Descriptors via Bitwise Interaction Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1919-1933 (2023)
[j164]
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Yongming Rao, Jiwen Lu, Jie Zhou:
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2193-2207 (2023)
[j163]
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Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2627-2644 (2023)
[j162]
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Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning With Adaptively Composite Dynamic Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8265-8283 (2023)
[j161]
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Ziwei Wang, Changyuan Wang, Xiuwei Xu, Jie Zhou, Jiwen Lu:
Quantformer: Learning Extremely Low-Precision Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8813-8826 (2023)
[j160]
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Mantang Guo, Junhui Hou, Jing Jin, Hui Liu, Huanqiang Zeng, Jiwen Lu:
Content-Aware Warping for View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9486-9503 (2023)
[j159]
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  - journals/pami/WeiLZL23
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Yi Wei, Shaohui Liu, Jie Zhou, Jiwen Lu:
Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10835-10849 (2023)
[j158]
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Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10883-10897 (2023)
[j157]
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Yongming Rao, Wenliang Zhao, Zheng Zhu, Jie Zhou, Jiwen Lu:
GFNet: Global Filter Networks for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10960-10973 (2023)
[j156]
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Hui Li, Tianyang Xu, Xiaojun Wu, Jiwen Lu, Josef Kittler:
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11040-11052 (2023)
[j155]
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Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11689-11706 (2023)
[j154]
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Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, Jiwen Lu:
3D Point-Voxel Correlation Fields for Scene Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13621-13635 (2023)
[j153]
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Shuai Shen, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
STAR-FC: Structure-Aware Face Clustering on Ultra-Large-Scale Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 14005-14019 (2023)
[j152]
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Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14114-14130 (2023)
[j151]
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  - journals/ral/HuangWZL23
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Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu:
Planning Irregular Object Packing via Hierarchical Reinforcement Learning. IEEE Robotics Autom. Lett. 8(1): 81-88 (2023)
[j150]
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Yuejian Wu, Linqing Zhao, Jiwen Lu, Haibin Yan:
Dense Hybrid Proposal Modulation for Lane Detection. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6845-6859 (2023)
[j149]
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Xian Sun, Peijin Wang, Wanxuan Lu, Zicong Zhu, Xiaonan Lu, Qibin He, Junxi Li, Xuee Rong, Zhujun Yang, Hao Chang, Qinglin He, Guang Yang, Ruiping Wang, Jiwen Lu, Kun Fu:
RingMo: A Remote Sensing Foundation Model With Masked Image Modeling. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023)
[j148]
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Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating Fingerprint Pose via Dense Voting. IEEE Trans. Inf. Forensics Secur. 18: 2493-2507 (2023)
[j147]
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Bingyao Yu, Xiu Li, Wanhua Li, Jie Zhou, Jiwen Lu:
Discrepancy-Aware Meta-Learning for Zero-Shot Face Manipulation Detection. IEEE Trans. Image Process. 32: 3759-3773 (2023)
[j146]
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Bin Fan, Yuzhu Yang, Wensen Feng, Fuchao Wu, Jiwen Lu, Hongmin Liu:
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features. IEEE Trans. Multim. 25: 1713-1726 (2023)
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Hongyi Sun, Wanhua Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Adaptive Patch Generators for Mask-Robust Image Inpainting. IEEE Trans. Multim. 25: 4240-4252 (2023)
[c236]
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  - conf/aaai/ZhangZZHL023
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Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou:
A Simple Baseline for Multi-Camera 3D Object Detection. AAAI 2023: 3507-3515
[c235]
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  - conf/cvpr/ShenZM0Z0L23
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Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation. CVPR 2023: 1982-1991
[c234]
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  - conf/cvpr/ZhangDWSL0T23
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Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, Yansong Tang:
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment. CVPR 2023: 2405-2414
[c233]
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Rong-Chang Li, Cong Wu, Linze Li, Zhongwei Shen, Tianyang Xu, Xiaojun Wu, Xi Li, Jiwen Lu, Josef Kittler:
Action Probability Calibration for Efficient Naturalistic Driving Action Localization. CVPR Workshops 2023: 5270-5277
[c232]
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Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. CVPR 2023: 5313-5322
[c231]
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  - conf/cvpr/WangZL0L23
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Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu:
Deep Factorized Metric Learning. CVPR 2023: 7672-7682
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Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu:
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. CVPR 2023: 8568-8577
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Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. CVPR 2023: 9223-9232
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Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. CVPR 2023: 12642-12651
[c227]
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Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CVPR 2023: 22106-22117
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Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. ICCV 2023: 1097-1107
[c225]
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Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. ICCV 2023: 5472-5481
[c224]
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Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. ICCV 2023: 5536-5547
[c223]
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Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. ICCV 2023: 5617-5627
[c222]
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Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. ICCV 2023: 5706-5716
[c221]
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Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou:
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning. ICCV 2023: 10263-10272
[c220]
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Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang:
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. ICCV 2023: 17804-17813
[c219]
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Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie Zhou, Jiwen Lu:
CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering. ICCV 2023: 20729-20738
[c218]
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Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. ICCV 2023: 21672-21683
[c217]
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Rong He, Yansong Tang, Xiu Li, Jiwen Lu:
Context-Aware Inpainter-Refiner for Skeleton-Based Human Motion Completion. ICIP 2023: 296-300
[c216]
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Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu:
GAIN: On the Generalization of Instructional Action Understanding. ICLR 2023
[c215]
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. ICLR 2023
[c214]
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  - conf/icra/WuWLY23
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Zhenyu Wu, Zi-wei Wang, Jiwen Lu, Haibin Yan:
Category-level Shape Estimation for Densely Cluttered Objects. ICRA 2023: 3846-3852
[c213]
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Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory. NeurIPS 2023
[c212]
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Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. NeurIPS 2023
[e9]
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Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14355, Springer 2023, ISBN 978-3-031-46304-4 [contents]
[e8]
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Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14356, Springer 2023, ISBN 978-3-031-46307-5 [contents]
[e7]
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Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14357, Springer 2023, ISBN 978-3-031-46310-5 [contents]
[e6]
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Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14358, Springer 2023, ISBN 978-3-031-46313-6 [contents]
[e5]
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Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14359, Springer 2023, ISBN 978-3-031-46316-7 [contents]
[i129]
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  - journals/corr/abs-2301-03786
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Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis. CoRR abs/2301.03786 (2023)
[i128]
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  - journals/corr/abs-2301-04545
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Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers. CoRR abs/2301.04545 (2023)
[i127]
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  - journals/corr/abs-2302-04867
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Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. CoRR abs/2302.04867 (2023)
[i126]
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  - journals/corr/abs-2302-07817
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Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. CoRR abs/2302.07817 (2023)
[i125]
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  - journals/corr/abs-2302-11983
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Zhenyu Wu, Ziwei Wang, Jiwen Lu, Haibin Yan:
Category-level Shape Estimation for Densely Cluttered Objects. CoRR abs/2302.11983 (2023)
[i124]
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  - journals/corr/abs-2303-02153
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Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR abs/2303.02153 (2023)
[i123]
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  - journals/corr/abs-2303-03991
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Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang:
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. CoRR abs/2303.03991 (2023)
[i122]
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  - journals/corr/abs-2303-09551
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Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. CoRR abs/2303.09551 (2023)
[i121]
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  - journals/corr/abs-2303-12965
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Xiaoke Huang, Yiji Cheng, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu:
Efficient Meshy Neural Fields for Animatable Human Avatars. CoRR abs/2303.12965 (2023)
[i120]
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  - journals/corr/abs-2303-15493
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Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. CoRR abs/2303.15493 (2023)
[i119]
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  - journals/corr/abs-2304-05172
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Hui Li, Tianyang Xu, Xiao-Jun Wu, Jiwen Lu, Josef Kittler:
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images. CoRR abs/2304.05172 (2023)
[i118]
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  - journals/corr/abs-2304-06393
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Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, Jie Zhou:
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression. CoRR abs/2304.06393 (2023)
[i117]
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  - journals/corr/abs-2304-14874
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Yuejian Wu, Linqing Zhao, Jiwen Lu, Haibin Yan:
Dense Hybrid Proposal Modulation for Lane Detection. CoRR abs/2304.14874 (2023)
[i116]
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  - journals/corr/abs-2305-03716
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Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu:
DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection. CoRR abs/2305.03716 (2023)
[i115]
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  - journals/corr/abs-2305-18723
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Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Towards Accurate Data-free Quantization for Diffusion Models. CoRR abs/2305.18723 (2023)
[i114]
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  - journals/corr/abs-2307-01848
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Zhenyu Wu, Ziwei Wang, Xiuwei Xu, Jiwen Lu, Haibin Yan:
Embodied Task Planning with Large Language Models. CoRR abs/2307.01848 (2023)
[i113]
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  - journals/corr/abs-2307-14971
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Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. CoRR abs/2307.14971 (2023)
[i112]
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  - journals/corr/abs-2308-16896
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Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu:
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction. CoRR abs/2308.16896 (2023)
[i111]
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  - journals/corr/abs-2309-09777
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Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiwen Lu:
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving. CoRR abs/2309.09777 (2023)
[i110]
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  - journals/corr/abs-2309-09982
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Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2309.09982 (2023)
[i109]
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  - journals/corr/abs-2309-11857
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Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. CoRR abs/2309.11857 (2023)
[i108]
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  - journals/corr/abs-2310-00608
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Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou:
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning. CoRR abs/2310.00608 (2023)
[i107]
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  - journals/corr/abs-2310-05346
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Zhenyu Wu, Xiuwei Xu, Ziwei Wang, Chong Xia, Linqing Zhao, Jiwen Lu, Haibin Yan:
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames. CoRR abs/2310.05346 (2023)
[i106]
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  - journals/corr/abs-2310-16898
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Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory. CoRR abs/2310.16898 (2023)
[i105]
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  - journals/corr/abs-2311-01010
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Borui Zhang, Baotong Tian, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Exploring Unified Perspective For Fast Shapley Value Estimation. CoRR abs/2311.01010 (2023)
[i104]
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  - journals/corr/abs-2311-12754
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Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu:
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. CoRR abs/2311.12754 (2023)
[i103]
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  - journals/corr/abs-2311-16038
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Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, Jiwen Lu:
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving. CoRR abs/2311.16038 (2023)
[i102]
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Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu:
Segment and Caption Anything. CoRR abs/2312.00869 (2023)
[i101]
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Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. CoRR abs/2312.07062 (2023)
[i100]
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  - journals/corr/abs-2312-09243
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Chubin Zhang, Juncheng Yan, Yi Wei, Jiaxin Li, Li Liu, Yansong Tang, Yueqi Duan, Jiwen Lu:
OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields. CoRR abs/2312.09243 (2023)
2022
[j144]
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Ziwei Wang, Jiwen Lu, Ziyi Wu, Jie Zhou:
Learning Efficient Binarized Object Detectors With Information Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3082-3095 (2022)
[j143]
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Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive Neighborhood Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4591-4604 (2022)
[j142]
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Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7898-7911 (2022)
[j141]
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Wencheng Zhu, Jiwen Lu, Yucheng Han, Jie Zhou:
Learning multiscale hierarchical attention for video summarization. Pattern Recognit. 122: 108312 (2022)
[j140]
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Wencheng Zhu, Jiahao Li, Jiwen Lu, Jie Zhou:
Separable Structure Modeling for Semi-Supervised Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(1): 330-344 (2022)
[j139]
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Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou:
Structure-Adaptive Neighborhood Preserving Hashing for Scalable Video Search. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2441-2454 (2022)
[j138]
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Yi Wei, Hengkai Guo, Jiwen Lu, Jie Zhou:
Iterative Feature Matching for Self-Supervised Indoor Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3839-3852 (2022)
[j137]
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Muheng Li, Lei Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Order-Constrained Representation Learning for Instructional Video Prediction. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5438-5452 (2022)
[j136]
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Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Ambiguousness-Aware State Evolution for Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6058-6072 (2022)
[j135]
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Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, Jiwen Lu:
Video Saliency Forecasting Transformer. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6850-6862 (2022)
[j134]
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Bingyao Yu, Jiwen Lu, Xiu Li, Jie Zhou:
Salience-Aware Face Presentation Attack Detection via Deep Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 17: 413-427 (2022)
[j133]
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Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Indexing: Robust Representation and Adaptive Candidate List. IEEE Trans. Inf. Forensics Secur. 17: 908-923 (2022)
[j132]
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Wencheng Zhu, Yucheng Han, Jiwen Lu, Jie Zhou:
Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization. IEEE Trans. Image Process. 31: 3017-3031 (2022)
[j131]
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Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu:
Probabilistic Temporal Modeling for Unintentional Action Localization. IEEE Trans. Image Process. 31: 3081-3094 (2022)
[j130]
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Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou:
Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. 31: 3281-3294 (2022)
[j129]
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Cheng Ma, Peiqi Yu, Jiwen Lu, Jie Zhou:
Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution. IEEE Trans. Image Process. 31: 3669-3683 (2022)
[j128]
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Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. IEEE Trans. Image Process. 31: 4761-4775 (2022)
[j127]
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An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie Zhou:
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. IEEE Trans. Image Process. 31: 4952-4965 (2022)
[j126]
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Yu Zheng, Xiuwei Xu, Jie Zhou, Jiwen Lu:
PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation. IEEE Trans. Image Process. 31: 6002-6016 (2022)
[j125]
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Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, Jiwen Lu:
VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning. IEEE Trans. Image Process. 31: 6048-6061 (2022)
[j124]
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  - journals/tmi/Shi0LL0Y0022
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Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022)
[j123]
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Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie Zhou:
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 46:1-46:24 (2022)
[c211]
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Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRL 2022: 539-549
[c210]
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Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu:
Dimension Embeddings for Monocular 3D Object Detection. CVPR 2022: 1579-1588
[c209]
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  - conf/cvpr/XuRY00L22
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Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu:
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR 2022: 2939-2948
[c208]
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Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CVPR 2022: 5575-5584
[c207]
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CVPR 2022: 7522-7531
[c206]
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Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CVPR 2022: 8428-8437
[c205]
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Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CVPR 2022: 11809-11819
[c204]
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Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CVPR 2022: 11882-11891
[c203]
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Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR 2022: 17092-17101
[c202]
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Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR 2022: 18061-18070
[c201]
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  - conf/cvpr/YuTR00L22
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Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CVPR 2022: 19291-19300
[c200]
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Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. CVPR 2022: 19848-19857
[c199]
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  - conf/eccv/ZhangTYLH22
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Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang:
Spike Transformer: Monocular Depth Estimation for Spiking Camera. ECCV (7) 2022: 34-52
[c198]
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Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu:
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. ECCV (21) 2022: 50-67
[c197]
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Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. ECCV (39) 2022: 179-195
[c196]
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Wenzhao Zheng, Yuan Huang, Borui Zhang, Jie Zhou, Jiwen Lu:
Dynamic Metric Learning with Cross-Level Concept Distillation. ECCV (24) 2022: 197-213
[c195]
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  - conf/eccv/MaZZL22
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Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu:
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution. ECCV (17) 2022: 305-321
[c194]
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Quan Zheng, ZiWei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value. ECCV (12) 2022: 459-474
[c193]
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Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-attribute Learning. ECCV (12) 2022: 562-579
[c192]
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  - conf/eccv/ShenLZDZL22
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Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. ECCV (12) 2022: 666-682
[c191]
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  - conf/ijcai/ChenLD0L22
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Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Uncertainty-Aware Representation Learning for Action Segmentation. IJCAI 2022: 820-826
[c190]
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  - conf/iros/LiuWHZL22
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Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. IROS 2022: 1388-1395
[c189]
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  - conf/iui/DuanHFL022
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Yongjie Duan, Ke He, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating 3D Finger Pose via 2D-3D Fingerprint Matching. IUI 2022: 459-469
[c188]
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Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu:
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. NeurIPS 2022
[c187]
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Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. NeurIPS 2022
[c186]
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Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. NeurIPS 2022
[i99]
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  - journals/corr/abs-2201-08314
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Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive neighborhood Metric learning. CoRR abs/2201.08314 (2022)
[i98]
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  - journals/corr/abs-2201-09023
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Mantang Guo, Jing Jin, Hui Liu, Junhui Hou, Huanqiang Zeng, Jiwen Lu:
Content-aware Warping for View Synthesis. CoRR abs/2201.09023 (2022)
[i97]
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  - journals/corr/abs-2203-05238
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Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu:
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. CoRR abs/2203.05238 (2022)
[i96]
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Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR abs/2203.13777 (2022)
[i95]
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  - journals/corr/abs-2203-14104
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Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. CoRR abs/2203.14104 (2022)
[i94]
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  - journals/corr/abs-2203-14932
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CoRR abs/2203.14932 (2022)
[i93]
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  - journals/corr/abs-2203-14956
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Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu:
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. CoRR abs/2203.14956 (2022)
[i92]
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Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou:
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. CoRR abs/2204.03636 (2022)
[i91]
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Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu:
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR abs/2204.03646 (2022)
[i90]
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  - journals/corr/abs-2204-05599
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Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CoRR abs/2204.05599 (2022)
[i89]
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  - journals/corr/abs-2204-10149
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Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. CoRR abs/2204.10149 (2022)
[i88]
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  - journals/corr/abs-2205-02692
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Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou:
Gait Recognition in the Wild: A Benchmark. CoRR abs/2205.02692 (2022)
[i87]
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Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2205.04449 (2022)
[i86]
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  - journals/corr/abs-2205-09743
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Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng, Junjie Huang, Guan Huang, Jie Zhou, Jiwen Lu:
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving. CoRR abs/2205.09743 (2022)
[i85]
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Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CoRR abs/2205.13490 (2022)
[i84]
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  - journals/corr/abs-2206-02338
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Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jiwen Lu, Jie Zhou:
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression. CoRR abs/2206.02338 (2022)
[i83]
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  - journals/corr/abs-2206-09811
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Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CoRR abs/2206.09811 (2022)
[i82]
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  - journals/corr/abs-2207-01580
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Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. CoRR abs/2207.01580 (2022)
[i81]
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  - journals/corr/abs-2207-05288
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Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. CoRR abs/2207.05288 (2022)
[i80]
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  - journals/corr/abs-2207-08095
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Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie Zhou:
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition. CoRR abs/2207.08095 (2022)
[i79]
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  - journals/corr/abs-2207-08677
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Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-Attribute Learning. CoRR abs/2207.08677 (2022)
[i78]
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  - journals/corr/abs-2207-11770
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Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. CoRR abs/2207.11770 (2022)
[i77]
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  - journals/corr/abs-2207-11941
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Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. CoRR abs/2207.11941 (2022)
[i76]
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  - journals/corr/abs-2207-14284
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Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu:
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. CoRR abs/2207.14284 (2022)
[i75]
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  - journals/corr/abs-2208-02812
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Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. CoRR abs/2208.02812 (2022)
[i74]
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  - journals/corr/abs-2208-03608
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Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value. CoRR abs/2208.03608 (2022)
[i73]
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  - journals/corr/abs-2208-10035
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Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
A Simple Baseline for Multi-Camera 3D Object Detection. CoRR abs/2208.10035 (2022)
[i72]
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  - journals/corr/abs-2210-05557
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Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. CoRR abs/2210.05557 (2022)
[i71]
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  - journals/corr/abs-2210-06455
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Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. CoRR abs/2210.06455 (2022)
[i70]
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  - journals/corr/abs-2210-08159
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An Tao, Yueqi Duan, Yingqi Wang, Jiwen Lu, Jie Zhou:
Dynamics-aware Adversarial Attack of Adaptive Neural Networks. CoRR abs/2210.08159 (2022)
[i69]
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  - journals/corr/abs-2211-08349
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Chengkun Wang, Wenzhao Zheng, Xian Sun, Jiwen Lu, Jie Zhou:
Probabilistic Deep Metric Learning for Hyperspectral Image Classification. CoRR abs/2211.08349 (2022)
[i68]
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  - journals/corr/abs-2211-09382
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Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu:
Planning Irregular Object Packing via Hierarchical Reinforcement Learning. CoRR abs/2211.09382 (2022)
[i67]
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  - journals/corr/abs-2211-09623
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Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang:
Cross-Modal Adapter for Text-Video Retrieval. CoRR abs/2211.09623 (2022)
[i66]
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  - journals/corr/abs-2212-03293
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Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. CoRR abs/2212.03293 (2022)
[i65]
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  - journals/corr/abs-2212-04638
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Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. CoRR abs/2212.04638 (2022)
[i64]
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  - journals/corr/abs-2212-09062
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Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. CoRR abs/2212.09062 (2022)
2021
[j122]
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Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou:
SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images. Neurocomputing 440: 251-263 (2021)
[j121]
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  - journals/pami/TangLZ21
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Yansong Tang, Jiwen Lu, Jie Zhou:
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3138-3153 (2021)
[j120]
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Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3214-3228 (2021)
[j119]
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  - journals/pami/WangL021
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Ziwei Wang, Jiwen Lu, Jie Zhou:
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3432-3445 (2021)
[j118]
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  - journals/tcsv/ChenLSZ21
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Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Recurrent Semantic Preserving Generation for Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 31(1): 231-245 (2021)
[j117]
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  - journals/tifs/GuFLZ21
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Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Registration via Matching Densely Sampled Points. IEEE Trans. Inf. Forensics Secur. 16: 1231-1244 (2021)
[j116]
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Qihao Yin, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Joint Estimation of Pose and Singular Points of Fingerprints. IEEE Trans. Inf. Forensics Secur. 16: 1467-1479 (2021)
[j115]
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  - journals/tip/LuLT21
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Jiwen Lu, Venice Erin Liong, Yap-Peng Tan:
Adversarial Multi-Label Variational Hashing. IEEE Trans. Image Process. 30: 332-344 (2021)
[j114]
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Wencheng Zhu, Jiwen Lu, Jiahao Li, Jie Zhou:
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization. IEEE Trans. Image Process. 30: 948-962 (2021)
[j113]
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Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
Reasoning Graph Networks for Kinship Verification: From Star-Shaped to Hierarchical. IEEE Trans. Image Process. 30: 4947-4961 (2021)
[j112]
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Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou:
Structure-Coherent Deep Feature Learning for Robust Face Alignment. IEEE Trans. Image Process. 30: 5313-5326 (2021)
[j111]
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Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-Identification via Attention Pyramid. IEEE Trans. Image Process. 30: 7663-7676 (2021)
[j110]
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Hao-Chiang Shao, Kang-Yu Liu, Weng-Tai Su, Chia-Wen Lin, Jiwen Lu:
DotFAN: A Domain-Transferred Face Augmentation Net. IEEE Trans. Image Process. 30: 8759-8772 (2021)
[j109]
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  - journals/tmm/MaL021
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Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. IEEE Trans. Multim. 23: 3943-3956 (2021)
[c185]
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  - conf/aaai/ZhangZL0HZ21
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Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou:
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation. AAAI 2021: 3342-3350
[c184]
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  - conf/aaai/LiuRL0H21
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Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI 2021: 8618-8626
[c183]
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  - conf/cvpr/WangM0L021
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Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou:
Pseudo Facial Generation With Extreme Poses for Face Recognition. CVPR 2021: 1994-2003
[c182]
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Yunpeng Zhang, Jiwen Lu, Jie Zhou:
Objects Are Different: Flexible Monocular 3D Object Detection. CVPR 2021: 3289-3298
[c181]
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  - conf/cvpr/WeiWRL021
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Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou:
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CVPR 2021: 6954-6963
[c180]
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Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou:
Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes. CVPR 2021: 9085-9094
[c179]
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  - conf/cvpr/ZhengWL021
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Wenzhao Zheng, Chengkun Wang, Jiwen Lu, Jie Zhou:
Deep Compositional Metric Learning. CVPR 2021: 9320-9329
[c178]
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  - conf/cvpr/ZhuHDY0CZYLD021
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Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou:
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. CVPR 2021: 10492-10502
[c177]
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  - conf/cvpr/LiLL021a
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Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou:
Self-Supervised Video Hashing via Bidirectional Transformers. CVPR 2021: 13549-13558
[c176]
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  - conf/cvpr/0001HLF021
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Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. CVPR 2021: 13896-13905
[c175]
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  - conf/cvpr/0001WLF021
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Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Meta-Mining Discriminative Samples for Kinship Verification. CVPR 2021: 16135-16144
[c174]
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  - conf/icb/DuanFL021
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Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Orientation Field Estimation for Latent Fingerprints with Prior Knowledge of Fingerprint Pattern. IJCB 2021: 1-8
[c173]
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Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV 2021: 1005-1014
[c172]
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Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV 2021: 3263-3272
[c171]
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Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou:
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. ICCV 2021: 5271-5280
[c170]
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  - conf/iccv/WeiLRZL021
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Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou:
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. ICCV 2021: 5590-5599
[c169]
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  - conf/iccv/YuRZL021
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Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. ICCV 2021: 7899-7908
[c168]
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Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou:
Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection. ICCV 2021: 8168-8177
[c167]
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  - conf/iccv/0002LL021
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Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. ICCV 2021: 9804-9813
[c166]
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  - conf/iccv/ZhaoRWL021
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Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. ICCV 2021: 9867-9876
[c165]
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Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
Instance Similarity Learning for Unsupervised Feature Representation. ICCV 2021: 10316-10325
[c164]
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Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou:
Deep Relational Metric Learning. ICCV 2021: 12045-12054
[c163]
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  - conf/iccv/YuRWLL021
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Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou:
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. ICCV 2021: 12478-12487
[c162]
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  - conf/iccv/0002LZRL21
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Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu:
Personalized Trajectory Prediction via Distribution Discrimination. ICCV 2021: 15560-15569
[c161]
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  - conf/icmcs/Zhou0XZL21
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Nuoxing Zhou, Guangyi Chen, Jinglin Xu, Wei-Shi Zheng, Jiwen Lu:
Temporal Label Aggregation for Unintentional Action Localization. ICME 2021: 1-7
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Yi Wei, Shang Su, Jiwen Lu, Jie Zhou:
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. ICRA 2021: 4348-4354
[c159]
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  - conf/iros/ZhaoL021
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Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. IROS 2021: 1585-1592
[c158]
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  - conf/nips/RaoZZLZ21
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Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. NeurIPS 2021: 980-993
[c157]
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Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS 2021: 13937-13949
[i63]
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  - journals/corr/abs-2101-07422
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Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou:
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images. CoRR abs/2101.07422 (2021)
[i62]
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  - journals/corr/abs-2102-01486
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Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. CoRR abs/2102.01486 (2021)
[i61]
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  - journals/corr/abs-2103-04098
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Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou:
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. CoRR abs/2103.04098 (2021)
[i60]
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  - journals/corr/abs-2103-13225
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Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou:
Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes. CoRR abs/2103.13225 (2021)
[i59]
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  - journals/corr/abs-2103-13629
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Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. CoRR abs/2103.13629 (2021)
[i58]
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  - journals/corr/abs-2103-15108
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Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Meta-Mining Discriminative Samples for Kinship Verification. CoRR abs/2103.15108 (2021)
[i57]
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  - journals/corr/abs-2104-02323
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Yunpeng Zhang, Jiwen Lu, Jie Zhou:
Objects are Different: Flexible Monocular 3D Object Detection. CoRR abs/2104.02323 (2021)
[i56]
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  - journals/corr/abs-2104-02486
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Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou:
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation. CoRR abs/2104.02486 (2021)
[i55]
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  - journals/corr/abs-2105-07647
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Yi Wei, Shang Su, Jiwen Lu, Jie Zhou:
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. CoRR abs/2105.07647 (2021)
[i54]
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  - journals/corr/abs-2106-02034
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Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR abs/2106.02034 (2021)
[i53]
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  - journals/corr/abs-2107-00645
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Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. CoRR abs/2107.00645 (2021)
[i52]
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  - journals/corr/abs-2107-01579
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Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. CoRR abs/2107.01579 (2021)
[i51]
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  - journals/corr/abs-2107-14202
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Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. CoRR abs/2107.14202 (2021)
[i50]
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  - journals/corr/abs-2107-14204
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Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu:
Personalized Trajectory Prediction via Distribution Discrimination. CoRR abs/2107.14204 (2021)
[i49]
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  - journals/corr/abs-2108-02720
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Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou:
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. CoRR abs/2108.02720 (2021)
[i48]
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  - journals/corr/abs-2108-02721
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Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
Instance Similarity Learning for Unsupervised Feature Representation. CoRR abs/2108.02721 (2021)
[i47]
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  - journals/corr/abs-2108-05340
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Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-identification via Attention Pyramid. CoRR abs/2108.05340 (2021)
[i46]
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  - journals/corr/abs-2108-05889
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Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. CoRR abs/2108.05889 (2021)
[i45]
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  - journals/corr/abs-2108-07189
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Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou:
Masked Face Recognition Challenge: The WebFace260M Track Report. CoRR abs/2108.07189 (2021)
[i44]
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  - journals/corr/abs-2108-07794
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Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR abs/2108.07794 (2021)
[i43]
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  - journals/corr/abs-2108-07797
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Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. CoRR abs/2108.07797 (2021)
[i42]
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  - journals/corr/abs-2108-08728
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Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR abs/2108.08728 (2021)
[i41]
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  - journals/corr/abs-2108-08839
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Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou:
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. CoRR abs/2108.08839 (2021)
[i40]
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  - journals/corr/abs-2108-10026
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Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou:
Deep Relational Metric Learning. CoRR abs/2108.10026 (2021)
[i39]
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  - journals/corr/abs-2109-00212
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Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR abs/2109.00212 (2021)
[i38]
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  - journals/corr/abs-2109-01129
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Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou:
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. CoRR abs/2109.01129 (2021)
[i37]
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  - journals/corr/abs-2109-02219
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Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical. CoRR abs/2109.02219 (2021)
[i36]
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  - journals/corr/abs-2109-12530
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Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. CoRR abs/2109.12530 (2021)
[i35]
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  - journals/corr/abs-2110-08762
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Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation. CoRR abs/2110.08762 (2021)
[i34]
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  - journals/corr/abs-2111-14819
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  - https://dblp.org/rec/journals/corr/abs-2111-14819
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu:
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. CoRR abs/2111.14819 (2021)
[i33]
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  - journals/corr/abs-2112-01518
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Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CoRR abs/2112.01518 (2021)
[i32]
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  - journals/corr/abs-2112-12053
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Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang:
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR abs/2112.12053 (2021)
2020
[j108]
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  - journals/pami/LiongLDT20
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Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, Yap-Peng Tan:
Deep Variational and Structural Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 580-595 (2020)
[j107]
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Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, Jie Zhou:
Learning Reasoning-Decision Networks for Robust Face Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 679-693 (2020)
[j106]
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Bin Fan, Qingqun Kong, Baoqian Zhang, Hongmin Liu, Chunhong Pan, Jiwen Lu:
Efficient nearest neighbor search in high dimensional hamming space. Pattern Recognit. 99 (2020)
[j105]
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Jiwen Lu, Yuxin Peng, Guo-Jun Qi, Jun Yu:
Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2797-2800 (2020)
[j104]
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Yansong Tang, Yi Wei, Xumin Yu, Jiwen Lu, Jie Zhou:
Graph Interaction Networks for Relation Transfer in Human Activity Videos. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2872-2886 (2020)
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Xiaojuan Cheng, Jiwen Lu, Bo Yuan, Jie Zhou:
Identity-Preserving Face Hallucination via Deep Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4796-4809 (2020)
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Yueqi Duan, Jiwen Lu, Wenzhao Zheng, Jie Zhou:
Deep Adversarial Metric Learning. IEEE Trans. Image Process. 29: 2037-2051 (2020)
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Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou:
Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection. IEEE Trans. Image Process. 29: 3820-3834 (2020)
[j100]
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Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou:
Learning Recurrent 3D Attention for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29: 6963-6976 (2020)
[j99]
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Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu, Jie Zhou:
Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks. IEEE Trans. Multim. 22(6): 1542-1554 (2020)
[c156]
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Hao-Chiang Shao, Kang-Yu Liu, Chia-Wen Lin, Jiwen Lu:
Domain-Transferred Face Augmentation Network. ACCV (6) 2020: 309-325
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Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. CVPR 2020: 2046-2055
[c154]
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Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning via Adaptive Learnable Assessment. CVPR 2020: 2957-2966
[c153]
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Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CVPR 2020: 5375-5384
[c152]
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Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. CVPR 2020: 5568-5577
[c151]
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Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution With Gradient Guidance. CVPR 2020: 7766-7775
[c150]
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Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. CVPR 2020: 9836-9845
[c149]
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Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Social Relation Reasoning. ECCV (15) 2020: 18-34
[c148]
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Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou:
Rotation-Robust Intersection over Union for 3D Object Detection. ECCV (20) 2020: 464-480
[c147]
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Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou:
Deep Hashing with Active Pairwise Supervision. ECCV (19) 2020: 522-538
[c146]
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Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian:
Reinforced Axial Refinement Network for Monocular 3D Object Detection. ECCV (17) 2020: 540-556
[c145]
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Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou:
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning. ECCV (27) 2020: 550-565
[c144]
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Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou:
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. ECCV (8) 2020: 643-659
[c143]
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Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou:
Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? ECCV (8) 2020: 660-676
[c142]
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Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) 2020: 694-709
[c141]
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Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Structural Deep Metric Learning for Room Layout Estimation. ECCV (18) 2020: 735-751
[c140]
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  - conf/icmcs/LiZLLF020
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Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Kinship Reasoning Network. ICME 2020: 1-6
[c139]
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  - conf/isbi/LinTLLLCG020
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Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou:
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. ISBI 2020: 795-798
[i31]
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  - journals/corr/abs-2002-09859
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Hao-Chiang Shao, Kang-Yu Liu, Chia-Wen Lin, Jiwen Lu:
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition. CoRR abs/2002.09859 (2020)
[i30]
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  - journals/corr/abs-2003-03961
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Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. CoRR abs/2003.03961 (2020)
[i29]
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  - journals/corr/abs-2003-09392
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Yansong Tang, Jiwen Lu, Jie Zhou:
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation. CoRR abs/2003.09392 (2020)
[i28]
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  - journals/corr/abs-2003-12971
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Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CoRR abs/2003.12971 (2020)
[i27]
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  - journals/corr/abs-2003-13063
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Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. CoRR abs/2003.13063 (2020)
[i26]
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  - journals/corr/abs-2003-13081
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Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution with Gradient Guidance. CoRR abs/2003.13081 (2020)
[i25]
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  - journals/corr/abs-2004-10375
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Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-based Kinship Reasoning Network. CoRR abs/2004.10375 (2020)
[i24]
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  - journals/corr/abs-2005-05878
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Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Registration via Matching Densely Sampled Points. CoRR abs/2005.05878 (2020)
[i23]
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  - journals/corr/abs-2006-07665
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Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-aware Score Distribution Learning for Action Quality Assessment. CoRR abs/2006.07665 (2020)
[i22]
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  - journals/corr/abs-2007-07453
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Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Social Relation Reasoning. CoRR abs/2007.07453 (2020)
[i21]
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  - journals/corr/abs-2008-12094
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Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR abs/2008.12094 (2020)
[i20]
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Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian:
Reinforced Axial Refinement Network for Monocular 3D Object Detection. CoRR abs/2008.13748 (2020)
[i19]
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  - journals/corr/abs-2012-00987
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Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou:
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. CoRR abs/2012.00987 (2020)
[i18]
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  - journals/corr/abs-2012-10217
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An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie Zhou:
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. CoRR abs/2012.10217 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j98]
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Yongming Rao, Jiwen Lu, Jie Zhou:
Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification. Int. J. Comput. Vis. 127(6-7): 701-718 (2019)
[j97]
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Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, Ming-Ting Sun:
Unsupervised Deep Learning of Compact Binary Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1501-1514 (2019)
[j96]
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Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou:
Learning Deep Binary Descriptor with Multi-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1924-1938 (2019)
[j95]
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Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou:
Runtime Network Routing for Efficient Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2291-2304 (2019)
[j94]
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Lei Chen, Zhanjie Song, Jiwen Lu, Jie Zhou:
Learning principal orientations and residual descriptor for action recognition. Pattern Recognit. 86: 14-26 (2019)
[j93]
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  - journals/pr/ZhuLZ19
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Wencheng Zhu, Jiwen Lu, Jie Zhou:
Structured general and specific multi-view subspace clustering. Pattern Recognit. 93: 392-403 (2019)
[j92]
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Xiaojuan Cheng, Jiwen Lu, Bo Yuan, Jie Zhou:
Face Segmentor-Enhanced Deep Feature Learning for Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 1(4): 223-237 (2019)
[j91]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Ordinal Deep Learning for Facial Age Estimation. IEEE Trans. Circuits Syst. Video Technol. 29(2): 486-501 (2019)
[j90]
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Yansong Tang, Zian Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multi-Stream Deep Neural Networks for RGB-D Egocentric Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3001-3015 (2019)
[j89]
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Chunze Lin, Jiwen Lu, Jie Zhou:
Multi-Grained Deep Feature Learning for Robust Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 29(12): 3608-3621 (2019)
[j88]
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Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou:
Spatial-Temporal Attention-Aware Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. 28(9): 4192-4205 (2019)
[j87]
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Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification. IEEE Trans. Image Process. 28(10): 4970-4983 (2019)
[j86]
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Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, Jie Zhou:
Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition. IEEE Trans. Image Process. 28(10): 4997-5012 (2019)
[c138]
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  - conf/cvpr/ZhengCL019
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Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CVPR 2019: 72-81
[c137]
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Yongming Rao, Jiwen Lu, Jie Zhou:
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. CVPR 2019: 452-460
[c136]
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  - conf/cvpr/WangLT0019
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Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian:
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. CVPR 2019: 568-577
[c135]
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Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian:
Structural Relational Reasoning of Point Clouds. CVPR 2019: 949-958
[c134]
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Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CVPR 2019: 1057-1066
[c133]
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Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CVPR 2019: 1145-1154
[c132]
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Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou:
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. CVPR 2019: 1207-1216
[c131]
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Yueqi Duan, Jiwen Lu, Jie Zhou:
UniformFace: Learning Deep Equidistributed Representation for Face Recognition. CVPR 2019: 3415-3424
[c130]
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Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou:
Deep Embedding Learning With Discriminative Sampling Policy. CVPR 2019: 4964-4973
[c129]
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Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou:
Enhanced Bayesian Compression via Deep Reinforcement Learning. CVPR 2019: 6946-6955
[c128]
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  - conf/cvpr/WeiLZL19
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Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu:
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. CVPR 2019: 9651-9660
[c127]
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  - conf/iccv/LiuFMLXP19
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Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan:
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. ICCV 2019: 5238-5247
[c126]
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Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou:
Neighborhood Preserving Hashing for Scalable Video Retrieval. ICCV 2019: 8211-8220
[c125]
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Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou:
Deep Meta Metric Learning. ICCV 2019: 9546-9555
[c124]
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Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou:
Self-Critical Attention Learning for Person Re-Identification. ICCV 2019: 9636-9645
[c123]
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  - conf/icip/HuLL019
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Junlin Hu, Jiwen Lu, Li Liu, Jie Zhou:
Multi-View Geometric Mean Metric Learning for Kinship Verification. ICIP 2019: 1178-1182
[c122]
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Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou:
Breast Mass Detection in Mammograms via Blending Adversarial Learning. SASHIMI@MICCAI 2019: 52-61
[i17]
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Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou:
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis. CoRR abs/1903.02874 (2019)
[i16]
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Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CoRR abs/1903.05503 (2019)
[i15]
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Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CoRR abs/1904.03358 (2019)
[i14]
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  - journals/corr/abs-1904-06699
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Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou:
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction. CoRR abs/1904.06699 (2019)
[i13]
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Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CoRR abs/1904.12681 (2019)
[i12]
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  - journals/corr/abs-1909-03669
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Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan:
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. CoRR abs/1909.03669 (2019)
[i11]
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  - journals/corr/abs-1912-09316
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Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou:
P²GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. CoRR abs/1912.09316 (2019)
2018
[j85]
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Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou:
Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information. Comput. Biol. Medicine 96: 52-68 (2018)
[j84]
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Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Context-Aware Local Binary Feature Learning for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1139-1153 (2018)
[j83]
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Jiwen Lu, Venice Erin Liong, Jie Zhou:
Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1979-1993 (2018)
[j82]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Sharable and Individual Multi-View Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2281-2288 (2018)
[j81]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Two-Stream Transformer Networks for Video-Based Face Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2546-2554 (2018)
[j80]
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  - journals/pr/ChengLFYZ18
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Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, Jie Zhou:
Scene recognition with objectness. Pattern Recognit. 74: 474-487 (2018)
[j79]
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  - journals/pr/LuWMKS18
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Jiwen Lu, Ruiping Wang, Ajmal S. Mian, Ajay Kumar, Sudeep Sarkar:
Distance metric learning for pattern recognition. Pattern Recognit. 75: 1-3 (2018)
[j78]
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  - journals/pr/LiongLT18
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan:
Cross-Modal Discrete Hashing. Pattern Recognit. 79: 114-129 (2018)
[j77]
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  - journals/pr/YuanCLF018
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Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Reconstruction-based supervised hashing. Pattern Recognit. 79: 147-161 (2018)
[j76]
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  - journals/prl/ZhuL018
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Wencheng Zhu, Jiwen Lu, Jie Zhou:
Nonlinear subspace clustering for image clustering. Pattern Recognit. Lett. 107: 131-136 (2018)
[j75]
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  - journals/tcsv/ChenLFZ18
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Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Nonlinear Structural Hashing for Scalable Video Search. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1421-1433 (2018)
[j74]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan, Junsong Yuan, Jie Zhou:
Local Large-Margin Multi-Metric Learning for Face and Kinship Verification. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1875-1891 (2018)
[j73]
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Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Deep Localized Metric Learning. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2644-2656 (2018)
[j72]
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  - journals/tifs/GuFLZ18
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Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Efficient Rectification of Distorted Fingerprints. IEEE Trans. Inf. Forensics Secur. 13(1): 156-169 (2018)
[j71]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Label-Sensitive Deep Metric Learning for Facial Age Estimation. IEEE Trans. Inf. Forensics Secur. 13(2): 292-305 (2018)
[j70]
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Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Topology Preserving Structural Matching for Automatic Partial Face Recognition. IEEE Trans. Inf. Forensics Secur. 13(7): 1823-1837 (2018)
[j69]
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Zhe Cui, Jianjiang Feng, Shihao Li, Jiwen Lu, Jie Zhou:
2-D Phase Demodulation for Deformable Fingerprint Registration. IEEE Trans. Inf. Forensics Secur. 13(12): 3153-3165 (2018)
[j68]
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Cheng Jin, Jianjiang Feng, Lei Wang, Heng Yu, Jiang Liu, Jiwen Lu, Jie Zhou:
Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields. IEEE J. Biomed. Health Informatics 22(6): 1906-1916 (2018)
[j67]
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Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham:
Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond. ACM Trans. Multim. Comput. Commun. Appl. 14(2s): 39:1-39:22 (2018)
[c121]
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  - conf/btas/YinFL018
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Qihao Yin, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Orientation Field Estimation for Latent Fingerprints by Exhaustive Search of Large Database. BTAS 2018: 1-9
[c120]
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Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou:
Deep Adversarial Metric Learning. CVPR 2018: 2780-2789
[c119]
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  - conf/cvpr/TangTLL018
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Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou:
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. CVPR 2018: 5323-5332
[c118]
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Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou:
Learning Globally Optimized Object Detector via Policy Gradient. CVPR 2018: 6190-6198
[c117]
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  - conf/cvpr/ChenYL0018
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Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, Jie Zhou:
Deep Hashing via Discrepancy Minimization. CVPR 2018: 6838-6847
[c116]
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  - conf/cvpr/DuanWLL018
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Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie Zhou:
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. CVPR 2018: 8270-8279
[c115]
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  - conf/eccv/YuanRLZ18
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Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou:
Relaxation-Free Deep Hashing via Policy Gradient. ECCV (4) 2018: 141-157
[c114]
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  - conf/eccv/ChenLSZ18
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Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Part-Activated Deep Reinforcement Learning for Action Prediction. ECCV (3) 2018: 435-451
[c113]
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  - conf/eccv/RenLWTZ18
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Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou:
Collaborative Deep Reinforcement Learning for Multi-object Tracking. ECCV (3) 2018: 605-621
[c112]
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Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou:
Deep Reinforcement Learning with Iterative Shift for Visual Tracking. ECCV (9) 2018: 697-713
[c111]
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  - conf/eccv/LinDDLZ18
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Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou:
Deep Variational Metric Learning. ECCV (15) 2018: 714-729
[c110]
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  - conf/eccv/LinLWZ18
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Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou:
Graininess-Aware Deep Feature Learning for Pedestrian Detection. ECCV (9) 2018: 745-761
[c109]
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  - conf/eccv/GuoLZ18
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Minghao Guo, Jiwen Lu, Jie Zhou:
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. ECCV (10) 2018: 783-799
[c108]
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  - conf/icmcs/LinL018
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Chunze Lin, Jiwen Lu, Jie Zhou:
Multi-Grained Deep Feature Learning for Pedestrian Detection. ICME 2018: 1-6
[c107]
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Cheng Ma, Zhixiang Chen, Jiwen Lu, Jie Zhou:
Rank-Consistency Multi-Label Deep Hashing. ICME 2018: 1-6
[c106]
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Lijie Liu, Jiwen Lu, Jie Zhou:
Adversarial Transfer Networks for Visual Tracking. IROS 2018: 75-81
[c105]
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Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Context Aware 3D Fully Convolutional Networks for Coronary Artery Segmentation. STACOM@MICCAI 2018: 85-93
[c104]
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Weixiang Chen, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTM. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 97-107
[c103]
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Jiang Liu, Cheng Jin, Jianjiang Feng, Yubo Du, Jiwen Lu, Jie Zhou:
A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA. STACOM@MICCAI 2018: 131-141
[c102]
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Shaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, Jie Zhou:
Towards Accurate and Complete Registration of Coronary Arteries in CTA Images. MICCAI (2) 2018: 419-427
[c101]
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Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval. MICCAI (1) 2018: 620-628
[c100]
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Yansong Tang, Zian Wang, Peiyang Li, Jiwen Lu, Ming Yang, Jie Zhou:
Mining Semantics-Preserving Attention for Group Activity Recognition. ACM Multimedia 2018: 1283-1291
[c99]
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Jifei Han, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multi-scale Deep Representation Learning for Face Detection. VCIP 2018: 1-4
[c98]
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan:
Multi-Label Deep Sparse Hashing. VCIP 2018: 1-4
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Yuxin Peng, Kai Yu, Jiwen Lu, Xingpeng Jiang:
Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Lanzhou, China, August 18-19, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11266, Springer 2018, ISBN 978-3-030-02697-4 [contents]
[i10]
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Shaohui Liu, Yi Wei, Jiwen Lu, Jie Zhou:
An Improved Evaluation Framework for Generative Adversarial Networks. CoRR abs/1803.07474 (2018)
2017
[b1]
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Haibin Yan, Jiwen Lu:
Facial Kinship Verification - A Machine Learning Approach. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-4483-0, pp. 1-82
[j66]
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Yan Yan, Jiwen Lu, Ajmal S. Mian, Arun Ross, Vittorio Murino, Radu Horaud:
Guest Editorial: Language in Vision. Comput. Vis. Image Underst. 163: 1-2 (2017)
[j65]
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Jiwen Lu, Xi Peng, Weihong Deng, Ajmal S. Mian:
Regularization techniques for high-dimensional data analysis. Image Vis. Comput. 60: 1-3 (2017)
[j64]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Group-aware deep feature learning for facial age estimation. Pattern Recognit. 66: 82-94 (2017)
[j63]
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Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multi-modal uniform deep learning for RGB-D person re-identification. Pattern Recognit. 72: 446-457 (2017)
[j62]
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Jiwen Lu, Junlin Hu, Jie Zhou:
Deep Metric Learning for Visual Understanding: An Overview of Recent Advances. IEEE Signal Process. Mag. 34(6): 76-84 (2017)
[j61]
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Xi Peng, Jiwen Lu, Zhang Yi, Rui Yan:
Automatic Subspace Learning via Principal Coefficients Embedding. IEEE Trans. Cybern. 47(11): 3583-3596 (2017)
[j60]
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Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing:
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification. IEEE Trans. Geosci. Remote. Sens. 55(8): 4427-4440 (2017)
[j59]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Deep Sharable and Structural Detectors for Face Alignment. IEEE Trans. Image Process. 26(4): 1666-1678 (2017)
[j58]
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Jiwen Lu, Venice Erin Liong, Jie Zhou:
Deep Hashing for Scalable Image Search. IEEE Trans. Image Process. 26(5): 2352-2367 (2017)
[j57]
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Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Rotation-Invariant Local Binary Descriptor. IEEE Trans. Image Process. 26(8): 3636-3651 (2017)
[j56]
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Jiwen Lu, Gang Wang, Jie Zhou:
Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. IEEE Trans. Image Process. 26(8): 4042-4054 (2017)
[j55]
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Jiwen Lu, Junlin Hu, Yap-Peng Tan:
Discriminative Deep Metric Learning for Face and Kinship Verification. IEEE Trans. Image Process. 26(9): 4269-4282 (2017)
[j54]
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Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Nonlinear Discrete Hashing. IEEE Trans. Multim. 19(1): 123-135 (2017)
[j53]
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Deep Video Hashing. IEEE Trans. Multim. 19(6): 1209-1219 (2017)
[j52]
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Deep Coupled Metric Learning for Cross-Modal Matching. IEEE Trans. Multim. 19(6): 1234-1244 (2017)
[j51]
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Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Nonlinear Sparse Hashing. IEEE Trans. Multim. 19(9): 1996-2009 (2017)
[c97]
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Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi:
Cascade Subspace Clustering. AAAI 2017: 2478-2484
[c96]
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Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Learning Principal Orientations Descriptor for Action Recognition. ACPR 2017: 55-60
[c95]
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  - conf/cvpr/LinRLFZ17
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Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Consistent-Aware Deep Learning for Person Re-identification in a Camera Network. CVPR 2017: 3396-3405
[c94]
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Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou:
Learning Deep Binary Descriptor with Multi-quantization. CVPR 2017: 4857-4866
[c93]
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Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Ordinal Deep Feature Learning for Facial Age Estimation. FG 2017: 157-164
[c92]
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  - conf/icb/OuyangFLG017
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Jiahong Ouyang, Jianjiang Feng, Jiwen Lu, Zhenhua Guo, Jie Zhou:
Fingerprint pose estimation based on faster R-CNN. IJCB 2017: 268-276
[c91]
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  - conf/iccv/RaoLL017
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Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou:
Learning Discriminative Aggregation Network for Video-Based Face Recognition. ICCV 2017: 3801-3810
[c90]
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Yongming Rao, Jiwen Lu, Jie Zhou:
Attention-Aware Deep Reinforcement Learning for Video Face Recognition. ICCV 2017: 3951-3960
[c89]
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  - conf/iccv/LiongLT017
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Cross-Modal Deep Variational Hashing. ICCV 2017: 4097-4105
[c88]
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  - conf/iccv/LiuLZZYWL17
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Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. ICCV 2017: 5679-5688
[c87]
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Guangyi Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification. ICIP 2017: 111-115
[c86]
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Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Action recognition in RGB-D egocentric videos. ICIP 2017: 3410-3414
[c85]
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Miao Xu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent fingerprint enhancement using Gabor and minutia dictionaries. ICIP 2017: 3540-3544
[c84]
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Venice Erin Liong, Jiwen Lu, Yap-Peng Tan:
Learning a cross-modal hashing network for multimedia search. ICIP 2017: 3700-3704
[c83]
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Wencheng Zhu, Jiwen Lu, Jie Zhou:
Nonlinear subspace clustering. ICIP 2017: 4497-4501
[c82]
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Xin Yuan, Jiwen Lu, Zhixiang Chen, Jianjiang Feng, Jie Zhou:
Reconstruction-based supervised hashing. ICME 2017: 1404-1409
[c81]
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Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Topology preserving graph matching for partial face recognition. ICME 2017: 1494-1499
[c80]
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Cheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou:
Left Atrial Appendage Neck Modeling for Closure Surgery. STACOM@MICCAI 2017: 32-41
[c79]
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Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou:
Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 39-46
[c78]
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Cheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou:
Detection of Substances in the Left Atrial Appendage by Spatiotemporal Motion Analysis Based on 4D-CT. STACOM@MICCAI 2017: 42-50
[c77]
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Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou:
Runtime Neural Pruning. NIPS 2017: 2181-2191
[e3]
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  - conf/accv/2016-w1
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Chu-Song Chen, Jiwen Lu, Kai-Kuang Ma:
Computer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I. Lecture Notes in Computer Science 10116, Springer 2017, ISBN 978-3-319-54406-9 [contents]
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Chu-Song Chen, Jiwen Lu, Kai-Kuang Ma:
Computer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II. Lecture Notes in Computer Science 10117, Springer 2017, ISBN 978-3-319-54426-7 [contents]
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Chu-Song Chen, Jiwen Lu, Kai-Kuang Ma:
Computer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Lecture Notes in Computer Science 10118, Springer 2017, ISBN 978-3-319-54525-7 [contents]
[i9]
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Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. CoRR abs/1707.06783 (2017)
[i8]
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Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, Shuicheng Yan:
Deep Sparse Subspace Clustering. CoRR abs/1709.08374 (2017)
2016
[j50]
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Yan Yan, Jiwen Lu:
Guest editorial: Bridging the semantic gap in multimedia understanding. Neurocomputing 208: 1-2 (2016)
[j49]
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Jiwen Lu, Gang Wang, Pierre Moulin:
Localized Multifeature Metric Learning for Image-Set-Based Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 26(3): 529-540 (2016)
[j48]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Deep Metric Learning for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2056-2068 (2016)
[j47]
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Renliang Weng, Jiwen Lu, Yap-Peng Tan:
Robust Point Set Matching for Partial Face Recognition. IEEE Trans. Image Process. 25(3): 1163-1176 (2016)
[j46]
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Rahul Rama Varior, Gang Wang, Jiwen Lu, Ting Liu:
Learning Invariant Color Features for Person Reidentification. IEEE Trans. Image Process. 25(7): 3395-3410 (2016)
[j45]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Deep Transfer Metric Learning. IEEE Trans. Image Process. 25(12): 5576-5588 (2016)
[j44]
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Renliang Weng, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Learning Cascaded Deep Auto-Encoder Networks for Face Alignment. IEEE Trans. Multim. 18(10): 2066-2078 (2016)
[c76]
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Peng Luo, Jiwen Lu, Jie Zhou:
Simultaneous Audio Source Localization and Microphone Placement. CCPR (2) 2016: 563-575
[c75]
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Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou:
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks. CVPR 2016: 1183-1192
[c74]
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Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham:
Modality and Component Aware Feature Fusion for RGB-D Scene Classification. CVPR 2016: 5995-6004
[c73]
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Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang:
A Siamese Long Short-Term Memory Architecture for Human Re-identification. ECCV (7) 2016: 135-153
[c72]
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Xin Ma, Wei Liu, Ling Chen, Jiwen Lu, Weixiao Liu, Jiakun Zhang, Zhenyuan Jia, Changyu Long, Zaihua Yang, Wangmin Yi:
A photogrammetry pose measurement method for moving targets in a wind tunnel. I2MTC 2016: 1-5
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Junlin Hu, Jiwen Lu, Junsong Yuan, Yap-Peng Tan:
Collaborative multi-view metric learning for visual classification. ICME 2016: 1-6
[c70]
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Jiwen Lu, Junlin Hu, Yap-Peng Tan:
Nonlinear metric learning for visual tracking. ICME 2016: 1-6
[c69]
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Lei Wang, Jianjiang Feng, Cheng Jin, Jiwen Lu, Jie Zhou:
Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposals. STACOM@MICCAI 2016: 21-29
[i7]
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Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, Kui Jia:
Multi-task CNN Model for Attribute Prediction. CoRR abs/1601.00400 (2016)
[i6]
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Ziyan Wang, Ruogu Lin, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition. CoRR abs/1604.01655 (2016)
[i5]
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Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang:
A Siamese Long Short-Term Memory Architecture for Human Re-Identification. CoRR abs/1607.08381 (2016)
2015
[j43]
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Weiyao Lin, Yihao Zhang, Jiwen Lu, Bing Zhou, Jinjun Wang, Yu Zhou:
Summarizing surveillance videos with local-patch-learning-based abnormality detection, blob sequence optimization, and type-based synopsis. Neurocomputing 155: 84-98 (2015)
[j42]
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Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, Jie Zhou:
Learning Compact Binary Face Descriptor for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2041-2056 (2015)
[j41]
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Venice Erin Liong, Jiwen Lu, Yongxin Ge:
Regularized local metric learning for person re-identification. Pattern Recognit. Lett. 68: 288-296 (2015)
[j40]
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Haibin Yan, Jiwen Lu, Xiuzhuang Zhou:
Prototype-Based Discriminative Feature Learning for Kinship Verification. IEEE Trans. Cybern. 45(11): 2535-2545 (2015)
[j39]
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Jiwen Lu, Gang Wang, Weihong Deng, Kui Jia:
Reconstruction-Based Metric Learning for Unconstrained Face Verification. IEEE Trans. Inf. Forensics Secur. 10(1): 79-89 (2015)
[j38]
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Yi Jin, Jiwen Lu, Qiuqi Ruan:
Coupled Discriminative Feature Learning for Heterogeneous Face Recognition. IEEE Trans. Inf. Forensics Secur. 10(3): 640-652 (2015)
[j37]
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Jiwen Lu, Venice Erin Liong, Gang Wang, Pierre Moulin:
Joint Feature Learning for Face Recognition. IEEE Trans. Inf. Forensics Secur. 10(7): 1371-1383 (2015)
[j36]
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Sheng Huang, Ahmed M. Elgammal, Jiwen Lu, Dan Yang:
Cross-Speed Gait Recognition Using Speed-Invariant Gait Templates and Globality-Locality Preserving Projections. IEEE Trans. Inf. Forensics Secur. 10(10): 2071-2083 (2015)
[j35]
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Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, Yingying Zhang:
Single Sample Face Recognition via Learning Deep Supervised Autoencoders. IEEE Trans. Inf. Forensics Secur. 10(10): 2108-2118 (2015)
[j34]
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Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, Tat-Jen Cham:
Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling. IEEE Trans. Image Process. 24(11): 4459-4473 (2015)
[j33]
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Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. 24(12): 5017-5032 (2015)
[j32]
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Jiwen Lu, Venice Erin Liong, Jie Zhou:
Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation. IEEE Trans. Image Process. 24(12): 5356-5368 (2015)
[j31]
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Anran Wang, Jiwen Lu, Jianfei Cai, Tat-Jen Cham, Gang Wang:
Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition. IEEE Trans. Multim. 17(11): 1887-1898 (2015)
[j30]
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Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, Kui Jia:
Multi-Task CNN Model for Attribute Prediction. IEEE Trans. Multim. 17(11): 1949-1959 (2015)
[c68]
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Shasha Li, Yukai Tu, Weihong Deng, Jiwen Lu:
Noise-resistant local binary pattern based on random projection. ACPR 2015: 806-810
[c67]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Deep transfer metric learning. CVPR 2015: 325-333
[c66]
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Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou:
Multi-manifold deep metric learning for image set classification. CVPR 2015: 1137-1145
[c65]
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Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou:
Deep hashing for compact binary codes learning. CVPR 2015: 2475-2483
[c64]
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Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón Santana, Javier Lorenzo-Navarro:
The FG 2015 Kinship Verification in the Wild Evaluation. FG 2015: 1-7
[c63]
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Venice Erin Liong, Yongxin Ge, Jiwen Lu:
Discriminative regularized metric learning for person re-identification. ICB 2015: 52-57
[c62]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Fine-grained face verification: Dataset and baseline results. ICB 2015: 79-84
[c61]
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Junlin Hu, Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan:
Discriminative transfer learning for single-sample face recognition. ICB 2015: 272-277
[c60]
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Yi Jin, Jiwen Lu, Qiuqi Ruan:
Large Margin Coupled Feature Learning for cross-modal face recognition. ICB 2015: 286-292
[c59]
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  - conf/iccv/LiuHDLL15
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Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang:
Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV 2015: 1107-1115
[c58]
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Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham:
MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition. ICCV 2015: 1125-1133
[c57]
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Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multiple Feature Fusion via Weighted Entropy for Visual Tracking. ICCV 2015: 3128-3136
[c56]
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Jiwen Lu, Venice Erin Liong, Jie Zhou:
Simultaneous Local Binary Feature Learning and Encoding for Face Recognition. ICCV 2015: 3721-3729
[c55]
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Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou:
Local Subspace Collaborative Tracking. ICCV 2015: 4301-4309
[i4]
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Siyuan Huang, Jiwen Lu, Jie Zhou, Anil K. Jain:
Nonlinear Local Metric Learning for Person Re-identification. CoRR abs/1511.05169 (2015)
2014
[j29]
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Haibin Yan, Jiwen Lu, Xiuzhuang Zhou, Yuanyuan Shang:
Multi-feature multi-manifold learning for single-sample face recognition. Neurocomputing 143: 134-143 (2014)
[j28]
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Likun Huang, Jiwen Lu, Yap-Peng Tan:
Multi-manifold metric learning for face recognition based on image sets. J. Vis. Commun. Image Represent. 25(7): 1774-1783 (2014)
[j27]
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Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou:
Neighborhood Repulsed Metric Learning for Kinship Verification. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 331-345 (2014)
[j26]
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Weihong Deng, Jiani Hu, Jiwen Lu, Jun Guo:
Transform-Invariant PCA: A Unified Approach to Fully Automatic FaceAlignment, Representation, and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1275-1284 (2014)
[j25]
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Likun Huang, Jiwen Lu, Yap-Peng Tan:
Co-Learned Multi-View Spectral Clustering for Face Recognition Based on Image Sets. IEEE Signal Process. Lett. 21(7): 875-879 (2014)
[j24]
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Jiwen Lu, Gang Wang, Pierre Moulin:
Human Identity and Gender Recognition From Gait Sequences With Arbitrary Walking Directions. IEEE Trans. Inf. Forensics Secur. 9(1): 51-61 (2014)
[j23]
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Haibin Yan, Jiwen Lu, Weihong Deng, Xiuzhuang Zhou:
Discriminative Multimetric Learning for Kinship Verification. IEEE Trans. Inf. Forensics Secur. 9(7): 1169-1178 (2014)
[c54]
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Junlin Hu, Jiwen Lu, Junsong Yuan, Yap-Peng Tan:
Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild. ACCV (3) 2014: 252-267
[c53]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Discriminative Deep Metric Learning for Face Verification in the Wild. CVPR 2014: 1875-1882
[c52]
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Venice Erin Liong, Jiwen Lu, Yongxin Ge:
Regularized Bayesian Metric Learning for Person Re-identification. ECCV Workshops (3) 2014: 209-224
[c51]
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Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin:
Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. ECCV (1) 2014: 265-280
[c50]
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Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham:
Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling. ECCV (5) 2014: 453-467
[c49]
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Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Shenghua Gao:
Efficient Sparsity Estimation via Marginal-Lasso Coding. ECCV (4) 2014: 578-592
[c48]
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Haibin Yan, Jiwen Lu, Xiuzhuang Zhou:
Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning. ECCV Workshops (2) 2014: 809-824
[c47]
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J. Ross Beveridge, Hao Zhang, Patrick J. Flynn, Yooyoung Lee, Venice Erin Liong, Jiwen Lu, Marcus de Assis Angeloni, Tiago de Freitas Pereira, Haoxiang Li, Gang Hua, Vitomir Struc, Janez Krizaj, P. Jonathon Phillips:
The IJCB 2014 PaSC video face and person recognition competition. IJCB 2014: 1-8
[c46]
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Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Jie Zhou, Modesto Castrillón Santana, Javier Lorenzo-Navarro, Lu Kou, Yuanyuan Shang, Andrea Bottino, Tiago Figueiredo Vieira:
Kinship verification in the wild: The first kinship verification competition. IJCB 2014: 1-6
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Yi Jin, Jiwen Lu, Qiuqi Ruan, Yap-Peng Tan:
Complete discriminative feature learning: A new approach for heterogeneous face recognition. ICME 2014: 1-6
[c44]
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Viet Anh Nguyen, Jiwen Lu, Minh N. Do:
Supervised Discriminative Hashing for Compact Binary Codes. ACM Multimedia 2014: 989-992
[c43]
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Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, Tat-Jen Cham:
Estimating spatial layout of rooms from RGB-D videos. MMSP 2014: 1-6
[i3]
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Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR abs/1404.3606 (2014)
[i2]
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Rahul Rama Varior, Gang Wang, Jiwen Lu:
Learning Invariant Color Features for Person Re-Identification. CoRR abs/1410.1035 (2014)
2013
[j22]
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Peng Ma, Dan Yang, Yongxin Ge, Xiaohong Zhang, Ying Qu, Sheng Huang, Jiwen Lu:
Robust face recognition via gradient-based sparse representation. J. Electronic Imaging 22(1): 013018 (2013)
[j21]
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Nini Liu, Jiwen Lu, Gao Yang, Yap-Peng Tan:
Robust gait recognition via discriminative set matching. J. Vis. Commun. Image Represent. 24(4): 439-447 (2013)
[j20]
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Yongxin Ge, Dan Yang, Jiwen Lu, Bo Li, Xiaohong Zhang:
Active appearance models using statistical characteristics of Gabor based texture representation. J. Vis. Commun. Image Represent. 24(5): 627-634 (2013)
[j19]
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Jiwen Lu, Yap-Peng Tan, Gang Wang:
Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 39-51 (2013)
[j18]
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Xiuzhuang Zhou, Yuanyuan Shang, Jiwen Lu:
Polygonal Approximation of Digital Planar Curves via Hybrid Monte Carlo Optimization. IEEE Signal Process. Lett. 20(2): 125-128 (2013)
[j17]
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Jiwen Lu, Yap-Peng Tan, Gang Wang, Gao Yang:
Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure. IEEE Trans. Circuits Syst. Video Technol. 23(6): 1070-1080 (2013)
[j16]
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Jiwen Lu, Yap-Peng Tan:
Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation. IEEE Trans. Hum. Mach. Syst. 43(2): 249-258 (2013)
[j15]
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Jiwen Lu, Yap-Peng Tan:
Cost-Sensitive Subspace Analysis and Extensions for Face Recognition. IEEE Trans. Inf. Forensics Secur. 8(3): 510-519 (2013)
[c42]
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Venice Erin Liong, Jiwen Lu, Gang Wang:
Face recognition using Deep PCA. ICICS 2013: 1-5
[c41]
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  - conf/fgr/SungatullinaLWM13
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Diana Sungatullina, Jiwen Lu, Gang Wang, Pierre Moulin:
Multiview discriminative learning for age-invariant face recognition. FG 2013: 1-6
[c40]
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Renliang Weng, Jiwen Lu, Gao Yang, Yap-Peng Tan:
Multi-feature ordinal ranking for facial age estimation. FG 2013: 1-6
[c39]
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Yongxin Ge, Jiwen Lu, Wu Fan, Dan Yang:
Age estimation from human body images. ICASSP 2013: 2337-2341
[c38]
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Junlin Hu, Yongxin Ge, Jiwen Lu, Xin Feng:
Makeup-robust face verification. ICASSP 2013: 2342-2346
[c37]
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  - conf/icassp/HungLHTG13
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Tzu-Yi Hung, Jiwen Lu, Junlin Hu, Yap-Peng Tan, Yongxin Ge:
Activity-based human identification. ICASSP 2013: 2362-2366
[c36]
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Jiwen Lu, Gang Wang, Pierre Moulin:
Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning. ICCV 2013: 329-336
[c35]
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Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, Yap-Peng Tan:
Robust Feature Set Matching for Partial Face Recognition. ICCV 2013: 601-608
[c34]
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Yongxin Ge, Jiwen Lu, Xin Feng, Dan Yang:
Body-based human age estimation at a distance. ICME Workshops 2013: 1-4
[c33]
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Likun Huang, Jiwen Lu, Yap-Peng Tan, Xin Feng:
Collaborative reconstruction-based manifold-manifold distance for face recognition with image sets. ICME 2013: 1-6
[c32]
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Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan:
Graph-based sparse coding and embedding for activity-based human identification. ICME 2013: 1-6
[c31]
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Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan:
Cross-scene abnormal event detection. ISCAS 2013: 2844-2847
[c30]
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Junlin Hu, Jiwen Lu, Yap-Peng Tan:
Robust partial face recognition using instance-to-class distance. VCIP 2013: 1-6
[i1]
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Sheng Huang, Dan Yang, Fei Yang, Yongxin Ge, Xiaohong Zhang, Jiwen Lu:
Face Recognition via Globality-Locality Preserving Projections. CoRR abs/1311.1279 (2013)
2012
[j14]
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Yongxin Ge, Dan Yang, Xiaohong Zhang, Jiwen Lu:
Improved similarity measure-based graph embedding for face recognition. J. Electronic Imaging 21(1): 013002 (2012)
[j13]
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Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou:
Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition. IEEE Trans. Inf. Forensics Secur. 7(3): 944-953 (2012)
[j12]
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Xiuzhuang Zhou, Yao Lu, Jiwen Lu, Jie Zhou:
Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling. IEEE Trans. Image Process. 21(2): 789-801 (2012)
[c29]
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Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang:
Neighborhood repulsed metric learning for kinship verification. CVPR 2012: 2594-2601
[c28]
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Jiwen Lu, Gang Wang:
Human-Centric Indoor Environment Modeling from Depth Videos. ECCV Workshops (2) 2012: 42-51
[c27]
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Likun Huang, Jiwen Lu, Yap-Peng Tan:
Learning modality-invariant features for heterogeneous face recognition. ICPR 2012: 1683-1686
[c26]
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Jiwen Lu, Gang Wang, Thomas S. Huang:
Gait-based gender classification in unconstrained environments. ICPR 2012: 3284-3287
[c25]
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Likun Huang, Jiwen Lu, Gao Yang, Yap-Peng Tan:
Generalized subspace distance for set-to-set image classification. ISCAS 2012: 1123-1126
[c24]
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Xiuzhuang Zhou, Jiwen Lu, Junlin Hu, Yuanyuan Shang:
Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. ACM Multimedia 2012: 725-728
[c23]
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Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang:
Activity-based person identification using sparse coding and discriminative metric learning. ACM Multimedia 2012: 1061-1064
2011
[j11]
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Jiwen Lu, Yap-Peng Tan:
Improved discriminant locality preserving projections for face and palmprint recognition. Neurocomputing 74(18): 3760-3767 (2011)
[j10]
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Jiwen Lu, Yap-Peng Tan:
Nearest Feature Space Analysis for Classification. IEEE Signal Process. Lett. 18(1): 55-58 (2011)
[j9]
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Nini Liu, Jiwen Lu, Yap-Peng Tan:
Joint Subspace Learning for View-Invariant Gait Recognition. IEEE Signal Process. Lett. 18(7): 431-434 (2011)
[c22]
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Jiwen Lu, Gang Wang, Yap-Peng Tan:
Multilinear locality preserving canonical correlation analysis for face recognition. ICICS 2011: 1-5
[c21]
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Jiwen Lu, Yap-Peng Tan:
Fusing shape and texture information for facial age estimation. ICASSP 2011: 1477-1480
[c20]
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Jiwen Lu, Yap-Peng Tan, Gang Wang:
Discriminative multi-manifold analysis for face recognition from a single training sample per person. ICCV 2011: 1943-1950
[c19]
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Nini Liu, Jiwen Lu, Yap-Peng Tan, Maodong Li:
Set-to-set gait recognition across varying views and walking conditions. ICME 2011: 1-6
[c18]
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Jiwen Lu, Yap-Peng Tan:
Locality repulsion projections for image-to-set face recognition. ICME 2011: 1-6
[c17]
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Jiwen Lu, Yap-Peng Tan:
Adaptive maximum margin criterion for image classification. ICME 2011: 1-6
[c16]
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Xiuzhuang Zhou, Junlin Hu, Jiwen Lu, Yuanyuan Shang, Yong Guan:
Kinship verification from facial images under uncontrolled conditions. ACM Multimedia 2011: 953-956
[c15]
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Tian Xia, Jiwen Lu, Yap-Peng Tan:
Face recognition using an enhanced age simulation method. VCIP 2011: 1-4
2010
[j8]
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Yongxin Ge, Dan Yang, Xiaohong Zhang, Jiwen Lu:
Image registration based on subpixel localization and Cauchy-Schwarz divergence. J. Electronic Imaging 19(3): 033001 (2010)
[j7]
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Jiwen Lu, Yap-Peng Tan:
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing. Pattern Recognit. Lett. 31(5): 382-393 (2010)
[j6]
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Jiwen Lu, Yongwei Zhao:
Dominant singular value decomposition representation for face recognition. Signal Process. 90(6): 2087-2093 (2010)
[j5]
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Jiwen Lu, Yap-Peng Tan:
Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition. IEEE Signal Process. Lett. 17(2): 185-188 (2010)
[j4]
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Jiwen Lu, Yap-Peng Tan:
A doubly weighted approach for appearance-based subspace learning methods. IEEE Trans. Inf. Forensics Secur. 5(1): 71-81 (2010)
[j3]
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Jiwen Lu, Yap-Peng Tan:
Gait-Based Human Age Estimation. IEEE Trans. Inf. Forensics Secur. 5(4): 761-770 (2010)
[j2]
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Jiwen Lu, Yap-Peng Tan:
Regularized Locality Preserving Projections and Its Extensions for Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 40(3): 958-963 (2010)
[c14]
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Jiwen Lu, Yap-Peng Tan:
Ordinary preserving manifold analysis for human age estimation. CVPR Workshops 2010: 90-95
[c13]
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Jiwen Lu, Yap-Peng Tan:
Cost-sensitive subspace learning for face recognition. CVPR 2010: 2661-2666
[c12]
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  - conf/icarcv/MengLT10
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Cui Meng, Jiwen Lu, Yap-Peng Tan:
A comparative study of age-invariant face recognition with different feature representations. ICARCV 2010: 890-895
[c11]
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Jiwen Lu, Yap-Peng Tan:
Gait-based human age estimation. ICASSP 2010: 1718-1721
[c10]
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  - conf/icip/LuT10
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Jiwen Lu, Yap-Peng Tan:
Cost-sensitive subspace learning for human age estimation. ICIP 2010: 1593-1596
[c9]
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Jiwen Lu, Yap-Peng Tan:
View recognition of human gait sequences in videos. ICIP 2010: 2457-2460

2000 – 2009

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2009
[c8]
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Jiwen Lu, Yap-Peng Tan:
Doubly weighted nonnegative matrix factorization for imbalanced face recognition. ICASSP 2009: 877-880
[c7]
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Jiwen Lu, Yap-Peng Tan:
Two-directional two-dimensional discriminant locality preserving projections for image recognition. ICASSP 2009: 1753-1756
[c6]
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Nini Liu, Jiwen Lu, Yap-Peng Tan, Zhenzhong Chen:
Enhanced gait recognition based on weighted dynamic feature. ICIP 2009: 3581-3584
[c5]
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Jiwen Lu, Yap-Peng Tan:
Uncorrelated Multilinear Geometry Preserving Projections for Multimodal Biometrics Recognition. ISCAS 2009: 2601-2604
2008
[c4]
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Jiwen Lu, Yap-Peng Tan:
Enhanced face recognition using tensor neighborhood preserving discriminant projections. ICIP 2008: 1916-1919
2007
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Jiwen Lu, Erhu Zhang:
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion. Pattern Recognit. Lett. 28(16): 2401-2411 (2007)
2006
[c3]
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Jiwen Lu, Erhu Zhang, Cuining Jing:
Gait Recognition Using Wavelet Descriptors and Independent Component Analysis. ISNN (2) 2006: 232-237
2005
[c2]
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  - conf/icnc/ZhangLD05
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Erhu Zhang, Jiwen Lu, Ganglong Duan:
Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network. ICNC (1) 2005: 640-649
[c1]
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Jiwen Lu, Erhu Zhang, Zhigang Zhang, Yanxue Xue:
Gait Recognition Using Independent Component Analysis. ISNN (2) 2005: 183-188

Coauthor Index

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