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Jie Zhou 0001
Person information
- affiliation: Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China
- affiliation (PhD 1995): Huazhong University of Science and Technology, Institute of Pattern Recognition and Artificial Intelligence, Wuhan, China
Other persons with the same name
- Jie Zhou — disambiguation page
- Jie Zhou 0002 — Sichuan University, College of Mathematics, Chengdu, China
- Jie Zhou 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Zhou 0004 — Shihezi University, College of Information Science and Technology, China
- Jie Zhou 0005 — Donghua University, School of Sciences, Shanghai, China
- Jie Zhou 0006 — Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China (and 2 more)
- Jie Zhou 0007 — National University of Defense Technology, College of Computer, Changsha, China
- Jie Zhou 0008 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Zhou 0009 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Jie Zhou 0010 — University of Science and Technology of China, Hefei, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China
- Jie Zhou 0011 — North University of China, School of Mechanical Engineering, Taiyuan, Shanxi, China
- Jie Zhou 0012 — Army Engineering University, Department of Mechanical Engineering, Shijiazhuang, China
- Jie Zhou 0013 — Shanghai Jiaotong University, School of Electric Information and Electronic Engineering, China
- Jie Zhou 0014 — Zhejiang University, Department of Precision Medicine and Biopharmaceutics, Hangzhou, China
- Jie Zhou 0015 — East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China (and 2 more)
- Jie Zhou 0016 — Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
- Jie Zhou 0017 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jie Zhou 0018 — Shanghai University of Electric Power, School of Automation Engineering, Shanghai, China
- Jie Zhou 0019 — Jiangsu University, School of Automotive and Traffic Engineering, Zhenjiang, China
- Jie Zhou 0020 — Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangzhou, China
- Jie Zhou 0021 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China (and 1 more)
- Jie Zhou 0022 — University of Rochester, Department of Computer Science, Rochester, NY, USA
- Jie Zhou 0023 — Northern Illinois University, Department of Computer Science, DeKalb, IL, USA (and 1 more)
- Jie Zhou 0024 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Zhou 0025 — Baidu Research, Institute of Deep Learning, Beijing, China
- Jie Zhou 0026 — University of Electronic Science and Technology of China, Center for Advanced Semiconductor and Integrated Micro-System, Chengdu, China
- Jie Zhou 0027 — Harbin Institute of Technology, Department of Electronic Engineering, China
- Jie Zhou 0028 — China Academy of Engineering Physics, CAEP, Institute of Electronic Engineering, China
- Jie Zhou 0029 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Jie Zhou 0030 — Shanghai University, School of Computer Engineering and Science, China
- Jie Zhou 0031 — National University of Defense Technology, NUDT, School of Electronic Science and Technology, Changsha, China
- Jie Zhou 0032 — Georgia Institute of Technology, GA, USA (and 1 more)
Other persons with a similar name
- Zhou Jie
- Andrew Jie Zhou
- Chang-Jie Zhou
- Junjie Zhou (aka: Jun-Jie Zhou) — disambiguation page
- Qi-Jie Zhou
- Wei-Jie Zhou
- Yan-Jie Zhou
- Yu-Jie Zhou
- Zhi-Jie Zhou (aka: Zhijie Zhou) — disambiguation page
- Zhi-Jie Zhou 0001 (aka: Zhijie Zhou 0001) — Rocket Force University of Engineering, High-Tech Institute of Xi'an, China (and 3 more)
- show all similar names
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2020 – today
- 2025
- [j200]Chengkun Wang, Wenzhao Zheng, Xian Sun, Jie Zhou, Jiwen Lu:
Probabilistic deep metric learning for hyperspectral image classification. Pattern Recognit. 157: 110878 (2025) - [e26]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15031, Springer 2025, ISBN 978-981-97-8486-8 [contents] - [e25]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15032, Springer 2025, ISBN 978-981-97-8489-9 [contents] - [e24]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15033, Springer 2025, ISBN 978-981-97-8501-8 [contents] - [e23]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024 Urumqi, China, October 18-20, 2024 Proceedings, Part IV. Lecture Notes in Computer Science 15034, Springer 2025, ISBN 978-981-97-8504-9 [contents] - [e22]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15035, Springer 2025, ISBN 978-981-97-8619-0 [contents] - [e21]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15036, Springer 2025, ISBN 978-981-97-8507-0 [contents] - [e20]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15037, Springer 2025, ISBN 978-981-97-8510-0 [contents] - [e19]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15038, Springer 2025, ISBN 978-981-97-8684-8 [contents] - [e18]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15039, Springer 2025, ISBN 978-981-97-8691-6 [contents] - [e17]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15040, Springer 2025, ISBN 978-981-97-8791-3 [contents] - [e16]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15041, Springer 2025, ISBN 978-981-97-8794-4 [contents] - [e15]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15042, Springer 2025, ISBN 978-981-97-8857-6 [contents] - [e14]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15043, Springer 2025, ISBN 978-981-97-8492-9 [contents] - [e13]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15044, Springer 2025, ISBN 978-981-97-8495-0 [contents] - [e12]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15045, Springer 2025, ISBN 978-981-97-8498-1 [contents] - 2024
- [j199]Zimeng Tan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Multi-task global optimization-based method for vascular landmark detection. Comput. Medical Imaging Graph. 114: 102364 (2024) - [j198]Zhanqiang Guo, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data. Comput. Medical Imaging Graph. 115: 102393 (2024) - [j197]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) - [j196]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) - [j195]Chentao Li, Jinyang Yu, Ke He, Jianjiang Feng, Jie Zhou:
SwivelTouch: Boosting Touchscreen Input with 3D Finger Rotation Gesture. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 53:1-53:30 (2024) - [j194]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) - [j193]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) - [j192]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) - [j191]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) - [j190]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) - [j189]Bingyao Yu, Wanhua Li, Li Xiu, Jie Zhou, Jiwen Lu:
Uncertainty-aware hierarchical labeling for face forgery detection. Pattern Recognit. 153: 110526 (2024) - [j188]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) - [j187]Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Phase-Aggregated Dual-Branch Network for Efficient Fingerprint Dense Registration. IEEE Trans. Inf. Forensics Secur. 19: 5712-5724 (2024) - [j186]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) - [j185]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) - [j184]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) - [j183]Yu Zheng, Jiwen Lu, Yueqi Duan, Jie Zhou:
Structural Relation Modeling of 3D Point Clouds. IEEE Trans. Image Process. 33: 4867-4881 (2024) - [j182]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) - [j181]Zhanqiang Guo, Zimeng Tan, Jianjiang Feng, Jie Zhou:
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection. IEEE Trans. Medical Imaging 43(6): 2241-2253 (2024) - [j180]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) - [j179]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) - [c284]Yifan Chen, Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Jianjiang Feng, Jie Zhou:
HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud. 3DV 2024: 954-964 - [c283]Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang:
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding. AAAI 2024: 1896-1904 - [c282]Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. CVPR 2024: 13-22 - [c281]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 - [c280]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CVPR 2024: 5652-5661 - [c279]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 - [c278]Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Towards Accurate Post-Training Quantization for Diffusion Models. CVPR 2024: 16026-16035 - [c277]Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CVPR 2024: 16426-16435 - [c276]Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhicheng Zhong, Jianjiang Feng, Jie Zhou:
LiDAR-Based Person Re-Identification. CVPR 2024: 17437-17447 - [c275]Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu:
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. CVPR 2024: 19946-19956 - [c274]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 - [c273]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 - [c272]Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu:
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype. ECCV (50) 2024: 270-286 - [c271]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 - [c270]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 - [c269]Wenxuan Guo, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou:
Camera-LiDAR Cross-Modality Gait Recognition. ECCV (34) 2024: 439-455 - [c268]Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu:
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. ECCV (11) 2024: 450-466 - [c267]Zhiyu Pan, Yongjie Duan, Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Latent Fingerprint Matching via Dense Minutia Descriptor. IJCB 2024: 1-10 - [c266]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Path Choice Matters for Clear Attributions in Path Methods. ICLR 2024 - [c265]Zhanqiang Guo, Jianjiang Feng, Jie Zhou:
Edge-Aware Vessel Segmentation Using Scribble Supervision. ISBI 2024: 1-5 - [i159]Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. CoRR abs/2401.06197 (2024) - [i158]Changyao Tian, Xizhou Zhu, Yuwen Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Yuntao Chen, Lewei Lu, Tong Lu, Jie Zhou, Hongsheng Li, Yu Qiao, Jifeng Dai:
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. CoRR abs/2401.10208 (2024) - [i157]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Path Choice Matters for Clear Attribution in Path Methods. CoRR abs/2401.10442 (2024) - [i156]Zhanqiang Guo, Zimeng Tan, Jianjiang Feng, Jie Zhou:
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection. CoRR abs/2402.12128 (2024) - [i155]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) - [i154]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) - [i153]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) - [i152]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]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]Xiongjun Guan, Yongjie Duan, Jianjiang Feng, Jie Zhou:
Direct Regression of Distortion Field from a Single Fingerprint Image. CoRR abs/2404.17148 (2024) - [i149]Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Pose-Specific 3D Fingerprint Unfolding. CoRR abs/2404.17149 (2024) - [i148]Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration. CoRR abs/2404.17159 (2024) - [i147]Xiongjun Guan, Yongjie Duan, Jianjiang Feng, Jie Zhou:
Regression of Dense Distortion Field from a Single Fingerprint Image. CoRR abs/2404.17610 (2024) - [i146]Wenxuan Guo, Zhiyu Pan, Ziheng Xi, Alapati Tuerxun, Jianjiang Feng, Jie Zhou:
Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors. CoRR abs/2405.01112 (2024) - [i145]Zhiyu Pan, Yongjie Duan, Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Latent Fingerprint Matching via Dense Minutia Descriptor. CoRR abs/2405.01199 (2024) - [i144]Xiongjun Guan, Zhiyu Pan, Jianjiang Feng, Jie Zhou:
Joint Identity Verification and Pose Alignment for Partial Fingerprints. CoRR abs/2405.03959 (2024) - [i143]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) - [i142]Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. CoRR abs/2406.00508 (2024) - [i141]Fangfu Liu, Hanyang Wang, Shunyu Yao, Shengjun Zhang, Jie Zhou, Yueqi Duan:
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion. CoRR abs/2406.04338 (2024) - [i140]Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai:
Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR abs/2406.04342 (2024) - [i139]Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai:
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning. CoRR abs/2406.07543 (2024) - [i138]Wenxuan Guo, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou:
Camera-LiDAR Cross-modality Gait Recognition. CoRR abs/2407.02038 (2024) - [i137]Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang:
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. CoRR abs/2407.20080 (2024) - [i136]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) - [i135]Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu:
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. CoRR abs/2409.03755 (2024) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]Chengkun Wang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
GlobalMamba: Global Image Serialization for Vision Mamba. CoRR abs/2410.10316 (2024) - [i129]Chengkun Wang, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu:
V2M: Visual 2-Dimensional Mamba for Image Representation Learning. CoRR abs/2410.10382 (2024) - 2023
- [j178]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) - [j177]Jinyang Yu, Jianjiang Feng, Jie Zhou:
PrintShear: Shear Input Based on Fingerprint Deformation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 81:1-81:22 (2023) - [j176]Ke He, Chentao Li, Yongjie Duan, Jianjiang Feng, Jie Zhou:
TrackPose: Towards Stable and User Adaptive Finger Pose Estimation on Capacitive Touchscreens. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 161:1-161:22 (2023) - [j175]Wenqing Wu, Siqi Wang, Xin Jiang, Jie Zhou:
Regional digital infrastructure, enterprise digital transformation and entrepreneurial orientation: Empirical evidence based on the broadband china strategy. Inf. Process. Manag. 60(5): 103419 (2023) - [j174]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) - [j173]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) - [j172]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) - [j171]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) - [j170]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) - [j169]Zhe Cui, Jianjiang Feng, Jie Zhou:
Monocular 3D Fingerprint Reconstruction and Unwarping. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8679-8695 (2023) - [j168]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) - [j167]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) - [j166]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) - [j165]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) - [j164]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) - [j163]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) - [j162]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) - [j161]Caixun Wang, Bingyao Yu, Jie Zhou:
A Learnable Gradient operator for face presentation attack detection. Pattern Recognit. 135: 109146 (2023) - [j160]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) - [j159]Pengyang Zhao, Zhiquan Chen, Jing-Hao Xue, Jianjiang Feng, Wenming Yang, Qingmin Liao, Jie Zhou:
Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation. IEEE Trans. Biom. Behav. Identity Sci. 5(2): 209-220 (2023) - [j158]Yizhuo Song, Pengyang Zhao, Wenming Yang, Qingmin Liao, Jie Zhou:
EIFNet: An Explicit and Implicit Feature Fusion Network for Finger Vein Verification. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2520-2532 (2023) - [j157]Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating Fingerprint Pose via Dense Voting. IEEE Trans. Inf. Forensics Secur. 18: 2493-2507 (2023) - [j156]Xiongjun Guan, Yongjie Duan, Jianjiang Feng, Jie Zhou:
Regression of Dense Distortion Field From a Single Fingerprint Image. IEEE Trans. Inf. Forensics Secur. 18: 4377-4390 (2023) - [j155]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) - [j154]Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Toward Common Corruptions. IEEE Trans. Image Process. 32: 5394-5407 (2023) - [j153]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) - [j152]Hai Wang, Wenming Yang, Qingmin Liao, Jie Zhou:
Bi-RSTU: Bidirectional Recurrent Upsampling Network for Space-Time Video Super-Resolution. IEEE Trans. Multim. 25: 4742-4751 (2023) - [c264]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 - [c263]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 - [c262]Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CVPR 2023: 2132-2141 - [c261]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 - [c260]Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. CVPR 2023: 5313-5322 - [c259]Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu:
Deep Factorized Metric Learning. CVPR 2023: 7672-7682 - [c258]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 - [c257]Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu:
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. CVPR 2023: 9223-9232 - [c256]Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. CVPR 2023: 12642-12651 - [c255]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. CVPR 2023: 15888-15899 - [c254]Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR 2023: 17830-17839 - [c253]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 - [c252]Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. ICCV 2023: 1097-1107 - [c251]Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. ICCV 2023: 5472-5481 - [c250]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. ICCV 2023: 5536-5547 - [c249]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 - [c248]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 - [c247]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 - [c246]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 - [c245]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 - [c244]Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu:
GAIN: On the Generalization of Instructional Action Understanding. ICLR 2023 - [c243]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. ICLR 2023 - [c242]Zhanqiang Guo, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Training Cross-Modality Cerebrovascular Segmentation Networks With Paired Images. ISBI 2023: 1-5 - [c241]Zimeng Tan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Adversarial Learning Framework for Cerebrovascular Landmark Detection Using Cross-Modality Information. ISBI 2023: 1-5 - [c240]Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory. NeurIPS 2023 - [c239]Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai:
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. NeurIPS 2023 - [c238]Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu:
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models. NeurIPS 2023 - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]Meng Zhang, Wenxuan Guo, Bohao Fan, Yifan Chen, Jianjiang Feng, Jie Zhou:
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes. CoRR abs/2302.10465 (2023) - [i123]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) - [i122]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]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]Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu:
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. CoRR abs/2303.15493 (2023) - [i119]Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, Jie Zhou:
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression. CoRR abs/2304.06393 (2023) - [i118]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) - [i117]Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai:
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. CoRR abs/2305.11175 (2023) - [i116]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) - [i115]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) - [i114]Bohao Fan, Siqi Wang, Wenxuan Guo, Wenzhao Zheng, Jianjiang Feng, Jie Zhou:
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes. CoRR abs/2308.00628 (2023) - [i113]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) - [i112]Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Towards Common Corruptions. CoRR abs/2309.00938 (2023) - [i111]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2309.09982 (2023) - [i110]Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. CoRR abs/2309.11857 (2023) - [i109]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) - [i108]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) - [i107]Borui Zhang, Baotong Tian, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Exploring Unified Perspective For Fast Shapley Value Estimation. CoRR abs/2311.01010 (2023) - [i106]Bohao Fan, Wenzhao Zheng, Jianjiang Feng, Jie Zhou:
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR. CoRR abs/2311.11971 (2023) - [i105]Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu:
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. CoRR abs/2311.12754 (2023) - [i104]Yongjie Duan, Zhiyu Pan, Jianjiang Feng, Jie Zhou:
Fingerprint Matching with Localized Deep Representation. CoRR abs/2311.18576 (2023) - [i103]Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhicheng Zhong, Jianjiang Feng, Jie Zhou:
LiDAR-based Person Re-identification. CoRR abs/2312.03033 (2023) - [i102]Yifan Chen, Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Jianjiang Feng, Jie Zhou:
HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud. CoRR abs/2312.05462 (2023) - [i101]Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie Zhou:
PointVoxel: A Simple and Effective Pipeline for Multi-View Multi-Modal 3D Human Pose Estimation. CoRR abs/2312.06409 (2023) - [i100]Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai:
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. CoRR abs/2312.09238 (2023) - 2022
- [j151]Weixiang Chen, Xiaoyu Han, Jian Wang, Yukun Cao, Xi Jia, Yuting Zheng, Jie Zhou, Wenjuan Zeng, Lin Wang, Heshui Shi, Jianjiang Feng:
Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT. Comput. Biol. Medicine 141: 105143 (2022) - [j150]Ke He, Yongjie Duan, Jianjiang Feng, Jie Zhou:
Estimating 3D Finger Angle via Fingerprint Image. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 14:1-14:22 (2022) - [j149]Zongjian Liu, Jieling He, Jianjiang Feng, Jie Zhou:
PrinType: Text Entry via Fingerprint Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 174:1-174:31 (2022) - [j148]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) - [j147]Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7898-7911 (2022) - [j146]Wencheng Zhu, Jiwen Lu, Yucheng Han, Jie Zhou:
Learning multiscale hierarchical attention for video summarization. Pattern Recognit. 122: 108312 (2022) - [j145]Caixun Wang, Jie Zhou:
An adaptive index smoothing loss for face anti-spoofing. Pattern Recognit. Lett. 153: 168-175 (2022) - [j144]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) - [j143]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) - [j142]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) - [j141]Zhanjie Song, Linqing Zhao, Jie Zhou:
Learning Hybrid Semantic Affinity for Point Cloud Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4599-4612 (2022) - [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou:
Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. 31: 3281-3294 (2022) - [j133]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) - [j132]Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. IEEE Trans. Image Process. 31: 4761-4775 (2022) - [j131]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) - [j130]Sanyi Zhang, Xiaochun Cao, Guo-Jun Qi, Zhanjie Song, Jie Zhou:
AIParsing: Anchor-Free Instance-Level Human Parsing. IEEE Trans. Image Process. 31: 5599-5612 (2022) - [j129]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) - [j128]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) - [j127]Qiqi Bao, Bowen Gang, Wenming Yang, Jie Zhou, Qingmin Liao:
Attention-Driven Graph Neural Network for Deep Face Super-Resolution. IEEE Trans. Image Process. 31: 6455-6470 (2022) - [j126]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) - [c237]Meng Zhang, Wenxuan Guo, Bohao Fan, Yifan Chen, Jianjiang Feng, Jie Zhou:
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes. 3DV 2022: 322-331 - [c236]Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou:
Efficient Non-local Contrastive Attention for Image Super-resolution. AAAI 2022: 2759-2767 - [c235]Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou:
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution. AAAI 2022: 2768-2776 - [c234]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 - [c233]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 - [c232]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 - [c231]Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CVPR 2022: 5575-5584 - [c230]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CVPR 2022: 7522-7531 - [c229]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 - [c228]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CVPR 2022: 11809-11819 - [c227]Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CVPR 2022: 11882-11891 - [c226]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 - [c225]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 - [c224]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 - [c223]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 - [c222]Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu:
AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. ECCV (21) 2022: 50-67 - [c221]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 - [c220]Wenzhao Zheng, Yuan Huang, Borui Zhang, Jie Zhou, Jiwen Lu:
Dynamic Metric Learning with Cross-Level Concept Distillation. ECCV (24) 2022: 197-213 - [c219]Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu:
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution. ECCV (17) 2022: 305-321 - [c218]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 - [c217]Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-attribute Learning. ECCV (12) 2022: 562-579 - [c216]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 - [c215]Xiongjun Guan, Yongjie Duan, Jianjiang Feng, Jie Zhou:
Direct Regression of Distortion Field from a Single Fingerprint Image. IJCB 2022: 1-8 - [c214]Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Uncertainty-Aware Representation Learning for Action Segmentation. IJCAI 2022: 820-826 - [c213]Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. IROS 2022: 1388-1395 - [c212]Weixiang Chen, Jianjiang Feng, Jie Zhou:
TriageNet: A Multi-Agent Diagnosis Network for Imbalanced Data. ISBI 2022: 1-5 - [c211]Zimeng Tan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Cerebrovascular Landmark Detection under Anatomical Variations. ISBI 2022: 1-5 - [c210]Yongjie Duan, Ke He, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Estimating 3D Finger Pose via 2D-3D Fingerprint Matching. IUI 2022: 459-469 - [c209]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 - [c208]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 - [c207]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]Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou:
Efficient Non-Local Contrastive Attention for Image Super-Resolution. CoRR abs/2201.03794 (2022) - [i98]Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou:
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution. CoRR abs/2201.04358 (2022) - [i97]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]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]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]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Attributable Visual Similarity Learning. CoRR abs/2203.14932 (2022) - [i93]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]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]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]Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian:
HyperDet3D: Learning a Scene-conditioned 3D Object Detector. CoRR abs/2204.05599 (2022) - [i89]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]Zhe Cui, Jianjiang Feng, Jie Zhou:
Monocular 3D Fingerprint Reconstruction and Unwarping. CoRR abs/2205.00967 (2022) - [i87]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) - [i86]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Introspective Deep Metric Learning. CoRR abs/2205.04449 (2022) - [i85]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) - [i84]Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu:
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. CoRR abs/2205.13490 (2022) - [i83]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) - [i82]Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu:
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. CoRR abs/2206.09811 (2022) - [i81]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) - [i80]Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
MetaAge: Meta-Learning Personalized Age Estimators. CoRR abs/2207.05288 (2022) - [i79]Sanyi Zhang, Xiaochun Cao, Guo-Jun Qi, Zhanjie Song, Jie Zhou:
AIParsing: Anchor-free Instance-level Human Parsing. CoRR abs/2207.06854 (2022) - [i78]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) - [i77]Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu:
Label2Label: A Language Modeling Framework for Multi-Attribute Learning. CoRR abs/2207.08677 (2022) - [i76]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) - [i75]Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu:
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. CoRR abs/2207.11941 (2022) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. CoRR abs/2210.05557 (2022) - [i69]Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. CoRR abs/2210.06455 (2022) - [i68]An Tao, Yueqi Duan, Yingqi Wang, Jiwen Lu, Jie Zhou:
Dynamics-aware Adversarial Attack of Adaptive Neural Networks. CoRR abs/2210.08159 (2022) - [i67]Zhanqiang Guo, Yao Luan, Jianjiang Feng, Wangsheng Lu, Yin Yin, Guangming Yang, Jie Zhou:
Cerebrovascular Segmentation via Vessel Oriented Filtering Network. CoRR abs/2210.08868 (2022) - [i66]Jifeng Dai, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhu, Lewei Lu, Jie Zhou, Xiaogang Wang, Yu Qiao, Xiaowei Hu:
Demystify Transformers & Convolutions in Modern Image Deep Networks. CoRR abs/2211.05781 (2022) - [i65]Chengkun Wang, Wenzhao Zheng, Xian Sun, Jiwen Lu, Jie Zhou:
Probabilistic Deep Metric Learning for Hyperspectral Image Classification. CoRR abs/2211.08349 (2022) - [i64]Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu:
Planning Irregular Object Packing via Hierarchical Reinforcement Learning. CoRR abs/2211.09382 (2022) - [i63]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) - [i62]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR abs/2211.09807 (2022) - [i61]Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CoRR abs/2211.10439 (2022) - [i60]Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. CoRR abs/2212.03293 (2022) - [i59]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) - [i58]Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. CoRR abs/2212.09062 (2022) - 2021
- [j125]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) - [j124]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) - [j123]Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3214-3228 (2021) - [j122]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) - [j121]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) - [j120]Sanyi Zhang, Guo-Jun Qi, Xiaochun Cao, Zhanjie Song, Jie Zhou:
Human Parsing With Pyramidical Gather-Excite Context. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1016-1030 (2021) - [j119]Zhe Cui, Jianjiang Feng, Jie Zhou:
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network. IEEE Trans. Inf. Forensics Secur. 16: 627-642 (2021) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-Identification via Attention Pyramid. IEEE Trans. Image Process. 30: 7663-7676 (2021) - [j112]Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. IEEE Trans. Multim. 23: 3943-3956 (2021) - [c206]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 - [c205]Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI 2021: 8618-8626 - [c204]Xiongjun Guan, Jianjiang Feng, Jie Zhou:
Pose-Specific 3D Fingerprint Unfolding. CCBR 2021: 185-194 - [c203]Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou:
Pseudo Facial Generation With Extreme Poses for Face Recognition. CVPR 2021: 1994-2003 - [c202]Yunpeng Zhang, Jiwen Lu, Jie Zhou:
Objects Are Different: Flexible Monocular 3D Object Detection. CVPR 2021: 3289-3298 - [c201]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 - [c200]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 - [c199]Wenzhao Zheng, Chengkun Wang, Jiwen Lu, Jie Zhou:
Deep Compositional Metric Learning. CVPR 2021: 9320-9329 - [c198]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 - [c197]Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou:
Self-Supervised Video Hashing via Bidirectional Transformers. CVPR 2021: 13549-13558 - [c196]Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. CVPR 2021: 13896-13905 - [c195]Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Meta-Mining Discriminative Samples for Kinship Verification. CVPR 2021: 16135-16144 - [c194]Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Orientation Field Estimation for Latent Fingerprints with Prior Knowledge of Fingerprint Pattern. IJCB 2021: 1-8 - [c193]Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV 2021: 1005-1014 - [c192]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 - [c191]Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou:
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. ICCV 2021: 5271-5280 - [c190]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 - [c189]Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. ICCV 2021: 7899-7908 - [c188]Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou:
Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection. ICCV 2021: 8168-8177 - [c187]Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. ICCV 2021: 9804-9813 - [c186]Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. ICCV 2021: 9867-9876 - [c185]Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
Instance Similarity Learning for Unsupervised Feature Representation. ICCV 2021: 10316-10325 - [c184]Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou:
Deep Relational Metric Learning. ICCV 2021: 12045-12054 - [c183]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 - [c182]Guanglie Jia, Jianjiang Feng, Jie Zhou:
3D Multi-Object Online Tracking with Multi-View Clustering. ICIP 2021: 3228-3232 - [c181]Yi Wei, Shang Su, Jiwen Lu, Jie Zhou:
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. ICRA 2021: 4348-4354 - [c180]Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. IROS 2021: 1585-1592 - [c179]Zimeng Tan, Jianjiang Feng, Jie Zhou:
Multi-Task Learning Network for Landmark Detection in Anatomical Tree Structures. ISBI 2021: 1975-1979 - [c178]Zimeng Tan, Jianjiang Feng, Jie Zhou:
SGNet: Structure-Aware Graph-Based Network for Airway Semantic Segmentation. MICCAI (1) 2021: 153-163 - [c177]Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. NeurIPS 2021: 980-993 - [c176]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 - [c175]Meng Zhang, Zhiyu Pan, Jianjiang Feng, Jie Zhou:
3D Multi-object Detection and Tracking with Sparse Stationary LiDAR. PRCV (1) 2021: 16-28 - [c174]Zhanqiang Guo, Yifan Zhang, Jianjiang Feng, Eddy Yang, Lan Qin, Jie Zhou:
Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data. STACOM@MICCAI 2021: 21-28 - [c173]Hui Fang, Zhanqiang Guo, Guozhu Shao, Zimeng Tan, Jinyang Yu, Jia Liu, Yukun Cao, Jie Zhou, Heshui Shi, Jianjiang Feng:
Vessel Extraction and Analysis of Aortic Dissection. STACOM@MICCAI 2021: 48-56 - [i57]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) - [i56]Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. CoRR abs/2102.01486 (2021) - [i55]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) - [i54]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) - [i53]Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. CoRR abs/2103.13629 (2021) - [i52]Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Meta-Mining Discriminative Samples for Kinship Verification. CoRR abs/2103.15108 (2021) - [i51]Yunpeng Zhang, Jiwen Lu, Jie Zhou:
Objects are Different: Flexible Monocular 3D Object Detection. CoRR abs/2104.02323 (2021) - [i50]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) - [i49]Yi Wei, Shang Su, Jiwen Lu, Jie Zhou:
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. CoRR abs/2105.07647 (2021) - [i48]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) - [i47]Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. CoRR abs/2107.00645 (2021) - [i46]Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. CoRR abs/2107.01579 (2021) - [i45]Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. CoRR abs/2107.14202 (2021) - [i44]Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou:
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. CoRR abs/2108.02720 (2021) - [i43]Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
Instance Similarity Learning for Unsupervised Feature Representation. CoRR abs/2108.02721 (2021) - [i42]Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-identification via Attention Pyramid. CoRR abs/2108.05340 (2021) - [i41]Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
Towards Interpretable Deep Metric Learning with Structural Matching. CoRR abs/2108.05889 (2021) - [i40]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) - [i39]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) - [i38]Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou:
Group-aware Contrastive Regression for Action Quality Assessment. CoRR abs/2108.07797 (2021) - [i37]Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR abs/2108.08728 (2021) - [i36]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) - [i35]Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou:
Deep Relational Metric Learning. CoRR abs/2108.10026 (2021) - [i34]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) - [i33]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) - [i32]Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. CoRR abs/2109.12530 (2021) - [i31]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) - [i30]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) - [i29]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
- [j111]Zheng Wang, Jie Zhou, Jing Ma, Jingjing Li, Jiangbo Ai, Yang Yang:
Discovering attractive segments in the user-generated video streams. Inf. Process. Manag. 57(1) (2020) - [j110]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) - [j109]Sanyi Zhang, Zhanjie Song, Xiaochun Cao, Hua Zhang, Jie Zhou:
Task-Aware Attention Model for Clothing Attribute Prediction. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1051-1064 (2020) - [j108]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) - [j107]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) - [j106]Shengjie Chen, Zhenhua Guo, Jianjiang Feng, Jie Zhou:
An Improved Contact-Based High-Resolution Palmprint Image Acquisition System. IEEE Trans. Instrum. Meas. 69(9): 6816-6827 (2020) - [j105]Yueqi Duan, Jiwen Lu, Wenzhao Zheng, Jie Zhou:
Deep Adversarial Metric Learning. IEEE Trans. Image Process. 29: 2037-2051 (2020) - [j104]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) - [j103]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) - [j102]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) - [c172]Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. CVPR 2020: 2046-2055 - [c171]Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning via Adaptive Learnable Assessment. CVPR 2020: 2957-2966 - [c170]Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CVPR 2020: 5375-5384 - [c169]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 - [c168]Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution With Gradient Guidance. CVPR 2020: 7766-7775 - [c167]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 - [c166]Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Social Relation Reasoning. ECCV (15) 2020: 18-34 - [c165]Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou:
Rotation-Robust Intersection over Union for 3D Object Detection. ECCV (20) 2020: 464-480 - [c164]Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou:
Deep Hashing with Active Pairwise Supervision. ECCV (19) 2020: 522-538 - [c163]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 - [c162]Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou:
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning. ECCV (27) 2020: 550-565 - [c161]Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou:
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. ECCV (8) 2020: 643-659 - [c160]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 - [c159]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 - [c158]Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Structural Deep Metric Learning for Room Layout Estimation. ECCV (18) 2020: 735-751 - [c157]Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Kinship Reasoning Network. ICME 2020: 1-6 - [c156]Jiangbo Ai, Yang Yang, Xing Xu, Jie Zhou, Heng Tao Shen:
CC-LSTM: Cross and Conditional Long-Short Time Memory for Video Captioning. ICPR Workshops (6) 2020: 353-365 - [c155]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 - [c154]Yucheng Hang, Qingmin Liao, Wenming Yang, Yupeng Chen, Jie Zhou:
Attention Cube Network for Image Restoration. ACM Multimedia 2020: 2562-2570 - [i28]Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. CoRR abs/2003.03961 (2020) - [i27]Yansong Tang, Jiwen Lu, Jie Zhou:
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation. CoRR abs/2003.09392 (2020) - [i26]Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. CoRR abs/2003.12971 (2020) - [i25]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) - [i24]Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution with Gradient Guidance. CoRR abs/2003.13081 (2020) - [i23]Zhe Cui, Jianjiang Feng, Jie Zhou:
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network. CoRR abs/2004.05972 (2020) - [i22]Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-based Kinship Reasoning Network. CoRR abs/2004.10375 (2020) - [i21]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Registration via Matching Densely Sampled Points. CoRR abs/2005.05878 (2020) - [i20]Xiaobin Wei, Jianjiang Feng, Jie Zhou:
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation. CoRR abs/2006.04371 (2020) - [i19]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) - [i18]Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-Based Social Relation Reasoning. CoRR abs/2007.07453 (2020) - [i17]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) - [i16]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) - [i15]Yucheng Hang, Qingmin Liao, Wenming Yang, Yupeng Chen, Jie Zhou:
Attention Cube Network for Image Restoration. CoRR abs/2009.05907 (2020) - [i14]Zhanwei Xu, Yukun Cao, Cheng Jin, Guozhu Shao, Xiaoqing Liu, Jie Zhou, Heshui Shi, Jianjiang Feng:
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation. CoRR abs/2010.09456 (2020) - [i13]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) - [i12]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
- 2019
- [j101]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) - [j100]Yanxiang Chen, Guang Wu, Jie Zhou, Guojun Qi:
Image generation via latent space learning using improved combination. Neurocomputing 340: 8-18 (2019) - [j99]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) - [j98]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) - [j97]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) - [j96]Lei Chen, Zhanjie Song, Jiwen Lu, Jie Zhou:
Learning principal orientations and residual descriptor for action recognition. Pattern Recognit. 86: 14-26 (2019) - [j95]Wencheng Zhu, Jiwen Lu, Jie Zhou:
Structured general and specific multi-view subspace clustering. Pattern Recognit. 93: 392-403 (2019) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [c153]Jie Zhou, Jiangbo Ai, Zheng Wang, Si Chen, Qin Wei:
Discovering Attractive Segments in the User Generated Video Streams. APWeb/WAIM (2) 2019: 236-250 - [c152]Meng Zhang, Jianjiang Feng, Jie Zhou:
Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs. CCBR 2019: 12-19 - [c151]Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CVPR 2019: 72-81 - [c150]Yongming Rao, Jiwen Lu, Jie Zhou:
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. CVPR 2019: 452-460 - [c149]Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian:
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. CVPR 2019: 568-577 - [c148]Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian:
Structural Relational Reasoning of Point Clouds. CVPR 2019: 949-958 - [c147]Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. CVPR 2019: 1057-1066 - [c146]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 - [c145]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 - [c144]Yueqi Duan, Jiwen Lu, Jie Zhou:
UniformFace: Learning Deep Equidistributed Representation for Face Recognition. CVPR 2019: 3415-3424 - [c143]Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou:
Deep Embedding Learning With Discriminative Sampling Policy. CVPR 2019: 4964-4973 - [c142]Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou:
Enhanced Bayesian Compression via Deep Reinforcement Learning. CVPR 2019: 6946-6955 - [c141]Zhe Cui, Jianjiang Feng, Jie Zhou:
Dense Fingerprint Registration via Displacement Regression Network. ICB 2019: 1-8 - [c140]Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou:
Neighborhood Preserving Hashing for Scalable Video Retrieval. ICCV 2019: 8211-8220 - [c139]Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou:
Deep Meta Metric Learning. ICCV 2019: 9546-9555 - [c138]Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou:
Self-Critical Attention Learning for Person Re-Identification. ICCV 2019: 9636-9645 - [c137]Junlin Hu, Jiwen Lu, Li Liu, Jie Zhou:
Multi-View Geometric Mean Metric Learning for Kinship Verification. ICIP 2019: 1178-1182 - [c136]Zimeng Tan, Yongjie Duan, Ziyi Wu, Jianjiang Feng, Jie Zhou:
A Cascade Regression Model for Anatomical Landmark Detection. STACOM@MICCAI 2019: 43-51 - [c135]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 - [i11]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) - [i10]Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CoRR abs/1903.05503 (2019) - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [j87]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) - [j86]Sanyi Zhang, Si Liu, Xiaochun Cao, Zhanjie Song, Jie Zhou:
Watch fashion shows to tell clothing attributes. Neurocomputing 282: 98-110 (2018) - [j85]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) - [j84]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) - [j83]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) - [j82]Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, Jie Zhou:
Scene recognition with objectness. Pattern Recognit. 74: 474-487 (2018) - [j81]Zhixiang Chen, Jie Zhou:
Collaborative multiview hashing. Pattern Recognit. 75: 149-160 (2018) - [j80]Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Reconstruction-based supervised hashing. Pattern Recognit. 79: 147-161 (2018) - [j79]Wencheng Zhu, Jiwen Lu, Jie Zhou:
Nonlinear subspace clustering for image clustering. Pattern Recognit. Lett. 107: 131-136 (2018) - [j78]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) - [j77]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) - [j76]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Deep Localized Metric Learning. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2644-2656 (2018) - [j75]Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Efficient Rectification of Distorted Fingerprints. IEEE Trans. Inf. Forensics Secur. 13(1): 156-169 (2018) - [j74]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) - [j73]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) - [j72]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) - [j71]Yang Yang, Jie Zhou, Jiangbo Ai, Yi Bin, Alan Hanjalic, Heng Tao Shen, Yanli Ji:
Video Captioning by Adversarial LSTM. IEEE Trans. Image Process. 27(11): 5600-5611 (2018) - [j70]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) - [c134]Qihao Yin, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Orientation Field Estimation for Latent Fingerprints by Exhaustive Search of Large Database. BTAS 2018: 1-9 - [c133]Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou:
Deep Adversarial Metric Learning. CVPR 2018: 2780-2789 - [c132]Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou:
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. CVPR 2018: 5323-5332 - [c131]Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou:
Learning Globally Optimized Object Detector via Policy Gradient. CVPR 2018: 6190-6198 - [c130]Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, Jie Zhou:
Deep Hashing via Discrepancy Minimization. CVPR 2018: 6838-6847 - [c129]Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie Zhou:
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. CVPR 2018: 8270-8279 - [c128]Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou:
Relaxation-Free Deep Hashing via Policy Gradient. ECCV (4) 2018: 141-157 - [c127]Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Part-Activated Deep Reinforcement Learning for Action Prediction. ECCV (3) 2018: 435-451 - [c126]Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou:
Collaborative Deep Reinforcement Learning for Multi-object Tracking. ECCV (3) 2018: 605-621 - [c125]Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou:
Deep Reinforcement Learning with Iterative Shift for Visual Tracking. ECCV (9) 2018: 697-713 - [c124]Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou:
Deep Variational Metric Learning. ECCV (15) 2018: 714-729 - [c123]Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou:
Graininess-Aware Deep Feature Learning for Pedestrian Detection. ECCV (9) 2018: 745-761 - [c122]Minghao Guo, Jiwen Lu, Jie Zhou:
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. ECCV (10) 2018: 783-799 - [c121]Chunze Lin, Jiwen Lu, Jie Zhou:
Multi-Grained Deep Feature Learning for Pedestrian Detection. ICME 2018: 1-6 - [c120]Cheng Ma, Zhixiang Chen, Jiwen Lu, Jie Zhou:
Rank-Consistency Multi-Label Deep Hashing. ICME 2018: 1-6 - [c119]Lijie Liu, Jiwen Lu, Jie Zhou:
Adversarial Transfer Networks for Visual Tracking. IROS 2018: 75-81 - [c118]Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Context Aware 3D Fully Convolutional Networks for Coronary Artery Segmentation. STACOM@MICCAI 2018: 85-93 - [c117]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 - [c116]Ziyan Li, Jianjiang Feng, Zishun Feng, Yunqiang An, Yang Gao, Bin Lu, Jie Zhou:
Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Network. STACOM@MICCAI 2018: 122-130 - [c115]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 - [c114]Weixiang Chen, Hongchen Ji, Jianjiang Feng, Rong Liu, Yi Yu, Ruiquan Zhou, Jie Zhou:
Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images. MLMI@MICCAI 2018: 161-169 - [c113]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 - [c112]Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval. MICCAI (1) 2018: 620-628 - [c111]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 - [c110]Jifei Han, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multi-scale Deep Representation Learning for Face Detection. VCIP 2018: 1-4 - [e11]Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo:
Biometric Recognition - 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings. Lecture Notes in Computer Science 10996, Springer 2018, ISBN 978-3-319-97908-3 [contents] - [e10]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11256, Springer 2018, ISBN 978-3-030-03397-2 [contents] - [e9]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11257, Springer 2018, ISBN 978-3-030-03334-7 [contents] - [e8]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11258, Springer 2018, ISBN 978-3-030-03337-8 [contents] - [e7]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11259, Springer 2018, ISBN 978-3-030-03340-8 [contents] - [i5]Shaohui Liu, Yi Wei, Jiwen Lu, Jie Zhou:
An Improved Evaluation Framework for Generative Adversarial Networks. CoRR abs/1803.07474 (2018) - 2017
- [j69]Xuanbin Si, Jianjiang Feng, Bo Yuan, Jie Zhou:
Dense registration of fingerprints. Pattern Recognit. 63: 87-101 (2017) - [j68]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Group-aware deep feature learning for facial age estimation. Pattern Recognit. 66: 82-94 (2017) - [j67]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) - [j66]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) - [j65]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) - [j64]Jiwen Lu, Venice Erin Liong, Jie Zhou:
Deep Hashing for Scalable Image Search. IEEE Trans. Image Process. 26(5): 2352-2367 (2017) - [j63]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Learning Rotation-Invariant Local Binary Descriptor. IEEE Trans. Image Process. 26(8): 3636-3651 (2017) - [j62]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) - [j61]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Nonlinear Discrete Hashing. IEEE Trans. Multim. 19(1): 123-135 (2017) - [j60]Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Deep Video Hashing. IEEE Trans. Multim. 19(6): 1209-1219 (2017) - [j59]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) - [j58]Zhixiang Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Nonlinear Sparse Hashing. IEEE Trans. Multim. 19(9): 1996-2009 (2017) - [c109]Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou:
Learning Principal Orientations Descriptor for Action Recognition. ACPR 2017: 55-60 - [c108]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 - [c107]Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou:
Learning Deep Binary Descriptor with Multi-quantization. CVPR 2017: 4857-4866 - [c106]Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Ordinal Deep Feature Learning for Facial Age Estimation. FG 2017: 157-164 - [c105]Jiahong Ouyang, Jianjiang Feng, Jiwen Lu, Zhenhua Guo, Jie Zhou:
Fingerprint pose estimation based on faster R-CNN. IJCB 2017: 268-276 - [c104]Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou:
Learning Discriminative Aggregation Network for Video-Based Face Recognition. ICCV 2017: 3801-3810 - [c103]Yongming Rao, Jiwen Lu, Jie Zhou:
Attention-Aware Deep Reinforcement Learning for Video Face Recognition. ICCV 2017: 3951-3960 - [c102]Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Cross-Modal Deep Variational Hashing. ICCV 2017: 4097-4105 - [c101]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 - [c100]Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Action recognition in RGB-D egocentric videos. ICIP 2017: 3410-3414 - [c99]Miao Xu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent fingerprint enhancement using Gabor and minutia dictionaries. ICIP 2017: 3540-3544 - [c98]Wencheng Zhu, Jiwen Lu, Jie Zhou:
Nonlinear subspace clustering. ICIP 2017: 4497-4501 - [c97]Xin Yuan, Jiwen Lu, Zhixiang Chen, Jianjiang Feng, Jie Zhou:
Reconstruction-based supervised hashing. ICME 2017: 1404-1409 - [c96]Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Topology preserving graph matching for partial face recognition. ICME 2017: 1494-1499 - [c95]Xiyao Fu, Yi Bin, Liang Peng, Jie Zhou, Yang Yang, Heng Tao Shen:
BMC@MediaEval 2017 Multimedia Satellite Task via Regression Random Forest. MediaEval 2017 - [c94]Liang Peng, Yi Bin, Xiyao Fu, Jie Zhou, Yang Yang, Heng Tao Shen:
CFM@MediaEval 2017 Retrieving Diverse Social Images Task via Re-ranking and Hierarchical Clustering. MediaEval 2017 - [c93]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 - [c92]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 - [c91]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 - [c90]Yi Bin, Yang Yang, Jie Zhou, Zi Huang, Heng Tao Shen:
Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning. ACM Multimedia 2017: 1345-1353 - [c89]Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou:
Runtime Neural Pruning. NIPS 2017: 2181-2191 - [e6]Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu:
Biometric Recognition - 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings. Lecture Notes in Computer Science 10568, Springer 2017, ISBN 978-3-319-69922-6 [contents] - 2016
- [j57]Lei Deng, Zhixiang Chen, Baohua Chen, Yueqi Duan, Jie Zhou:
Incremental image set querying based localization. Neurocomputing 208: 315-324 (2016) - [j56]Baohua Chen, Zhixiang Chen, Lei Deng, Yueqi Duan, Jie Zhou:
Building change detection with RGB-D map generated from UAV images. Neurocomputing 208: 350-364 (2016) - [j55]Yijing Su, Jianjiang Feng, Jie Zhou:
Fingerprint indexing with pose constraint. Pattern Recognit. 54: 1-13 (2016) - [j54]Zhenhua Guo, Xingzheng Wang, Jie Zhou, Jane You:
Robust Texture Image Representation by Scale Selective Local Binary Patterns. IEEE Trans. Image Process. 25(2): 687-699 (2016) - [j53]Kailin Ge, Han Hu, Jianjiang Feng, Jie Zhou:
Depth Estimation Using a Sliding Camera. IEEE Trans. Image Process. 25(2): 726-739 (2016) - [j52]Junlin Hu, Jiwen Lu, Yap-Peng Tan, Jie Zhou:
Deep Transfer Metric Learning. IEEE Trans. Image Process. 25(12): 5576-5588 (2016) - [j51]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) - [c88]Peng Luo, Jiwen Lu, Jie Zhou:
Simultaneous Audio Source Localization and Microphone Placement. CCPR (2) 2016: 563-575 - [c87]Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou:
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks. CVPR 2016: 1183-1192 - [c86]Chunjie Chen, Jianjiang Feng, Jie Zhou:
Multi-scale dictionaries based fingerprint orientation field estimation. ICB 2016: 1-8 - [c85]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 - [e5]Zhisheng You, Jie Zhou, Yunhong Wang, Zhenan Sun, Shiguang Shan, Wei-Shi Zheng, Jianjiang Feng, Qijun Zhao:
Biometric Recognition - 11th Chinese Conference, CCBR 2016, Chengdu, China, October 14-16, 2016, Proceedings. Lecture Notes in Computer Science 9967, 2016, ISBN 978-3-319-46653-8 [contents] - [e4]Tieniu Tan, Xuelong Li, Xilin Chen, Jie Zhou, Jian Yang, Hong Cheng:
Pattern Recognition - 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part I. Communications in Computer and Information Science 662, 2016, ISBN 978-981-10-3001-7 [contents] - [e3]Tieniu Tan, Xuelong Li, Xilin Chen, Jie Zhou, Jian Yang, Hong Cheng:
Pattern Recognition - 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II. Communications in Computer and Information Science 663, 2016, ISBN 978-981-10-3004-8 [contents] - [i4]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) - 2015
- [j50]Zhenlei Yan, Jie Zhou:
Optimal answerer ranking for new questions in community question answering. Inf. Process. Manag. 51(1): 163-178 (2015) - [j49]Zhixiang Chen, Zhaolin Li, Shan Cao, Fang Wang, Jie Zhou:
Schedule refinement for homogeneous multi-core processors in the presence of manufacturing-caused heterogeneity. Frontiers Inf. Technol. Electron. Eng. 16(12): 1018-1033 (2015) - [j48]Xuanbin Si, Jianjiang Feng, Jie Zhou, Yuxuan Luo:
Detection and Rectification of Distorted Fingerprints. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 555-568 (2015) - [j47]Han Hu, Jianjiang Feng, Jie Zhou:
Exploiting Unsupervised and Supervised Constraints for Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1542-1557 (2015) - [j46]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) - [j45]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) - [c84]Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou:
Multi-manifold deep metric learning for image set classification. CVPR 2015: 1137-1145 - [c83]Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou:
Deep hashing for compact binary codes learning. CVPR 2015: 2475-2483 - [c82]Yuxuan Luo, Jianjiang Feng, Miao Xu, Jie Zhou, James K. Min, Guanglei Xiong:
Registration of coronary arteries in computed tomography angiography images using Hidden Markov Model. EMBC 2015: 1993-1996 - [c81]Kailin Ge, Jianjiang Feng, Jie Zhou:
Dense and continuous depth estimation using a sliding camera. ICASSP 2015: 1181-1185 - [c80]Lu Tian, Xianwei Xu, Jie Zhou:
Image matching for repetitive patterns. ICASSP 2015: 1488-1492 - [c79]Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multiple Feature Fusion via Weighted Entropy for Visual Tracking. ICCV 2015: 3128-3136 - [c78]Jiwen Lu, Venice Erin Liong, Jie Zhou:
Simultaneous Local Binary Feature Learning and Encoding for Face Recognition. ICCV 2015: 3721-3729 - [c77]Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou:
Local Subspace Collaborative Tracking. ICCV 2015: 4301-4309 - [c76]Chuan Yu, Lu Tian, Han Hu, Yueqi Duan, Jie Zhou:
Progressive feature matching via triplet graph. ICIP 2015: 1860-1864 - [c75]Baohua Chen, Lei Deng, Yueqi Duan, Siyuan Huang, Jie Zhou:
Building change detection based on 3D reconstruction. ICIP 2015: 4126-4130 - [c74]Lei Deng, Siyuan Huang, Yueqi Duan, Baohua Chen, Jie Zhou:
Image set querying based localization. VCIP 2015: 1-4 - [c73]Xiao Yang, Jianjiang Feng, Jie Zhou, Shutao Xia:
Detection and segmentation of latent fingerprints. WIFS 2015: 1-6 - [i3]Lei Deng, Siyuan Huang, Yueqi Duan, Baohua Chen, Jie Zhou:
Image Set Querying Based Localization. CoRR abs/1509.06016 (2015) - [i2]Siyuan Huang, Jiwen Lu, Jie Zhou, Anil K. Jain:
Nonlinear Local Metric Learning for Person Re-identification. CoRR abs/1511.05169 (2015) - 2014
- [j44]Peng Sun, Mark D. Reid, Jie Zhou:
An improved multiclass LogitBoost using adaptive-one-vs-one. Mach. Learn. 97(3): 295-326 (2014) - [j43]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) - [j42]Xiao Yang, Jianjiang Feng, Jie Zhou:
Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 955-969 (2014) - [j41]Yi-Ge Fu, Jie Zhou, Lei Deng:
Surveillance of a 2D Plane Area with 3D Deployed Cameras. Sensors 14(2): 1988-2011 (2014) - [j40]Xianwei Xu, Lu Tian, Jianjiang Feng, Jie Zhou:
OSRI: A Rotationally Invariant Binary Descriptor. IEEE Trans. Image Process. 23(7): 2983-2995 (2014) - [c72]Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou:
Smooth Representation Clustering. CVPR 2014: 3834-3841 - [c71]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 - [c70]Yuxuan Luo, Jianjiang Feng, Jie Zhou:
Fingerprint matching based on global minutia cylinder code. IJCB 2014: 1-8 - [c69]Xuanbin Si, Jianjiang Feng, Jie Zhou:
Enhancing latent fingerprints on banknotes. IJCB 2014: 1-8 - [c68]Peng Sun, Tong Zhang, Jie Zhou:
A Convergence Rate Analysis for LogitBoost, MART and Their Variant. ICML 2014: 1251-1259 - [e2]Zhenan Sun, Shiguang Shan, Haifeng Sang, Jie Zhou, Yunhong Wang, Weiqi Yuan:
Biometric Recognition - 9th Chinese Conference, CCBR 2014, Shenyang, China, November 7-9, 2014. Proceedings. Lecture Notes in Computer Science 8833, Springer 2014, ISBN 978-3-319-12483-4 [contents] - 2013
- [j39]Jianjiang Feng, Jie Zhou, Anil K. Jain:
Orientation Field Estimation for Latent Fingerprint Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 925-940 (2013) - [j38]Heng Su, Nan Jiang, Ying Wu, Jie Zhou:
Single image super-resolution based on space structure learning. Pattern Recognit. Lett. 34(16): 2094-2101 (2013) - [j37]Han Hu, Jianjiang Feng, Chuan Yu, Jie Zhou:
Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation. IEEE Trans. Image Process. 22(11): 4328-4340 (2013) - [j36]Fanglin Chen, Xiaolin Huang, Jie Zhou:
Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification. IEEE Trans. Image Process. 22(12): 4964-4971 (2013) - [j35]Xiangyu Tang, Jie Zhou:
Dynamic Personalized Recommendation on Sparse Data. IEEE Trans. Knowl. Data Eng. 25(12): 2895-2899 (2013) - [c67]Jifeng Dai, Ying Nian Wu, Jie Zhou, Song-Chun Zhu:
Cosegmentation and Cosketch by Unsupervised Learning. ICCV 2013: 1305-1312 - [c66]Xianwei Xu, Chuan Yu, Jie Zhou:
Robust feature point matching based on geometric consistency and affine invariant spatial constraint. ICIP 2013: 2077-2081 - [c65]Peng Sun, Jie Zhou:
Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner. ICML (3) 2013: 933-941 - [e1]Zhenan Sun, Shiguang Shan, Gongping Yang, Jie Zhou, Yunhong Wang, Yilong Yin:
Biometric Recognition - 8th Chinese Conference, CCBR 2013, Jinan, China, November 16-17, 2013. Proceedings. Lecture Notes in Computer Science 8232, Springer 2013, ISBN 978-3-319-02960-3 [contents] - 2012
- [j34]Jifeng Dai, Jianjiang Feng, Jie Zhou:
Robust and Efficient Ridge-Based Palmprint Matching. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1618-1632 (2012) - [j33]Zhihao Zhang, Jie Zhou:
Multi-task clustering via domain adaptation. Pattern Recognit. 45(1): 465-473 (2012) - [j32]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) - [j31]Jianjiang Feng, Yuan Shi, Jie Zhou:
Robust and Efficient Algorithms for Separating Latent Overlapped Fingerprints. IEEE Trans. Inf. Forensics Secur. 7(5): 1498-1510 (2012) - [j30]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) - [j29]Heng Su, Liang Tang, Ying Wu, Daniel Tretter, Jie Zhou:
Spatially Adaptive Block-Based Super-Resolution. IEEE Trans. Image Process. 21(3): 1031-1045 (2012) - [j28]Heng Su, Ying Wu, Jie Zhou:
Super-Resolution Without Dense Flow. IEEE Trans. Image Process. 21(4): 1782-1795 (2012) - [c64]Fanglin Chen, Jie Zhou:
On the Influence of Fingerprint Area in Partial Fingerprint Recognition. CCBR 2012: 104-111 - [c63]Zhenlei Yan, Jie Zhou:
A New Approach to Answerer Recommendation in Community Question Answering Services. ECIR 2012: 121-132 - [c62]Zhenlei Yan, Jie Zhou:
User recommendation with tensor factorization in social networks. ICASSP 2012: 3853-3856 - [c61]Peng Sun, Mark D. Reid, Jie Zhou:
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. ICML 2012 - [c60]Han Hu, Jiahuan Zhou, Jianjiang Feng, Jie Zhou:
Multi-way constrained spectral clustering by nonnegative restriction. ICPR 2012: 1550-1553 - [c59]Jifeng Dai, Jianjiang Feng, Jie Zhou:
Mining sub-categories for object detection. ICPR 2012: 3260-3263 - [c58]Xuanbin Si, Jianjiang Feng, Jie Zhou:
Detecting fingerprint distortion from a single image. WIFS 2012: 1-6 - [c57]Jianyu Li, Feng Xiao, Jie Zhou, Zhanxin Yang:
Motifs and Motif Generalization in Chinese Word Networks. ICCS 2012: 550-556 - 2011
- [j27]Jifeng Dai, Jie Zhou:
Multifeature-Based High-Resolution Palmprint Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 945-957 (2011) - [j26]Jie Zhou, Han Hu, Dingrui Wan:
Video Stabilization and Completion Using Two Cameras. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1879-1889 (2011) - [j25]Fanglin Chen, Jianjiang Feng, Anil K. Jain, Jie Zhou, Jin Zhang:
Separating Overlapped Fingerprints. IEEE Trans. Inf. Forensics Secur. 6(2): 346-359 (2011) - [c56]Jianjiang Feng, Huapeng Zhou, Jie Zhou:
A Preliminary Study of Handprint Synthesis. CCBR 2011: 133-140 - [c55]Xiao Yang, Jianjiang Feng, Jie Zhou:
Palmprint indexing based on ridge features. IJCB 2011: 1-8 - [c54]Heng Su, Ying Wu, Jie Zhou:
Adaptive incremental video super-resolution with temporal consistency. ICIP 2011: 1149-1152 - [i1]Peng Sun, Jie Zhou:
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. CoRR abs/1110.3907 (2011) - 2010
- [j24]Dingrui Wan, Jie Zhou:
Self-calibration of spherical rectification for a PTZ-stereo system. Image Vis. Comput. 28(3): 367-375 (2010) - [j23]Zhihao Zhang, Jie Zhou:
Transfer estimation of evolving class priors in data stream classification. Pattern Recognit. 43(9): 3151-3161 (2010) - [j22]Jie Zhou, Dingrui Wan, Ying Wu:
The Chameleon-Like Vision System. IEEE Signal Process. Mag. 27(5): 91-101 (2010) - [j21]Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-Rong Wen:
Closing the Loop in Webpage Understanding. IEEE Trans. Knowl. Data Eng. 22(5): 639-650 (2010) - [c53]Fanglin Chen, Jianjiang Feng, Jie Zhou:
On separating overlapped fingerprints. BTAS 2010: 1-6 - [c52]Han Hu, Jie Zhou:
Trajectory matching from unsynchronized videos. CVPR 2010: 1347-1354 - [c51]Han Hu, Quanquan Gu, Jie Zhou:
HTF: a novel feature for general crack detection. ICIP 2010: 1633-1636 - [c50]Fanglin Chen, Jie Zhou:
A hierarchical algorithm for multi-feature based fingerprint identification. ICIP 2010: 3093-3096 - [c49]Quanquan Gu, Jie Zhou, Chris H. Q. Ding:
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. SDM 2010: 199-210
2000 – 2009
- 2009
- [j20]Jie Zhou, Fanglin Chen, Jinwei Gu:
A Novel Algorithm for Detecting Singular Points from Fingerprint Images. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1239-1250 (2009) - [j19]Xi Wang, Chunyu Yang, Jie Zhou:
Clustering aggregation by probability accumulation. Pattern Recognit. 42(5): 668-675 (2009) - [j18]Jie Zhou, Fanglin Chen, Nannan Wu, Chenyu Wu:
Crease detection from fingerprint images and its applications in elderly people. Pattern Recognit. 42(5): 896-906 (2009) - [j17]Dingrui Wan, Jie Zhou:
Multiresolution and Wide-Scope Depth Estimation Using a Dual-PTZ-Camera System. IEEE Trans. Image Process. 18(3): 677-682 (2009) - [j16]Fanglin Chen, Jie Zhou, Chunyu Yang:
Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy. IEEE Trans. Image Process. 18(7): 1665-1670 (2009) - [c48]Quanquan Gu, Jie Zhou:
Neighborhood Preserving Nonnegative Matrix Factorization. BMVC 2009: 1-10 - [c47]Han Hu, Quanquan Gu, Lei Deng, Jie Zhou:
Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming. BMVC 2009: 1-11 - [c46]Quanquan Gu, Jie Zhou:
Subspace maximum margin clustering. CIKM 2009: 1337-1346 - [c45]Quanquan Gu, Jie Zhou:
Regular simplex criterion: A novel feature extraction criterion. ICASSP 2009: 1581-1584 - [c44]Quanquan Gu, Jie Zhou:
Two dimensional Maximum Margin Criterion. ICASSP 2009: 1621-1624 - [c43]Linxing Xiao, Lie Lu, Frank Seide, Jie Zhou:
Learning a music similarity measure on automatic annotations with application to playlist generation. ICASSP 2009: 1885-1888 - [c42]Quanquan Gu, Jie Zhou:
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification. ICDM 2009: 159-168 - [c41]Quanquan Gu, Jie Zhou:
Multiple Kernel Maximum Margin Criterion. ICIP 2009: 2049-2052 - [c40]Quanquan Gu, Jie Zhou:
Two Dimensional Nonnegative Matrix Factorization. ICIP 2009: 2069-2072 - [c39]Aibo Tian, Wen Li, Linxing Xiao, Dong Wang, Jie Zhou, Tong Zhang:
Histogram matching for music repetition detection. ICME 2009: 662-665 - [c38]Quanquan Gu, Jie Zhou:
Local Learning Regularized Nonnegative Matrix Factorization. IJCAI 2009: 1046-1051 - [c37]Quanquan Gu, Jie Zhou:
Co-clustering on manifolds. KDD 2009: 359-368 - [c36]Tong Zhang, Chee Keat Fong, Linxing Xiao, Jie Zhou:
Automatic and instant ring tone generation based on music structure analysis. ACM Multimedia 2009: 593-596 - [c35]Quanquan Gu, Jie Zhou:
Transductive Classification via Dual Regularization. ECML/PKDD (1) 2009: 439-454 - [c34]Quanquan Gu, Jie Zhou:
Local Relevance Weighted Maximum Margin Criterion for Text Classification. SDM 2009: 1136-1147 - [c33]Xiangyu Tang, Chunyu Yang, Jie Zhou:
Stock Price Forecasting by Combining News Mining and Time Series Analysis. Web Intelligence 2009: 279-282 - [p1]Jie Zhou, Linxing Xiao:
Content Based Digital Music Management and Retrieval. Handbook of Multimedia for Digital Entertainment and Arts 2009: 291-306 - 2008
- [j15]Dingrui Wan, Jie Zhou:
Stereo vision using two PTZ cameras. Comput. Vis. Image Underst. 112(2): 184-194 (2008) - [j14]Lin Zhu, Jie Zhou, Jingyan Song:
Tracking multiple objects through occlusion with online sampling and position estimation. Pattern Recognit. 41(8): 2447-2460 (2008) - [j13]Chunyu Yang, Jie Zhou:
Non-stationary data sequence classification using online class priors estimation. Pattern Recognit. 41(8): 2656-2664 (2008) - [c32]Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-Rong Wen:
Closing the loop in webpage understanding. CIKM 2008: 1397-1398 - [c31]Quanquan Gu, Jie Zhou:
A novel similarity measure under Riemannian metric for stereo matching. ICASSP 2008: 1073-1076 - [c30]Heng Su, Liang Tang, Daniel Tretter, Jie Zhou:
A practical and adaptive framework for super-resolution. ICIP 2008: 1236-1239 - [c29]Quanquan Gu, Jie Zhou:
Belief propagation on Riemannian manifold for stereo matching. ICIP 2008: 1788-1791 - [c28]Linxing Xiao, Jie Zhou, Tong Zhang:
Using dtw based unsupervised segmentation to improve the vocal part detection in pop music. ICME 2008: 1193-1196 - [c27]Linxing Xiao, Jie Zhou:
Using chroma histogram to measure the perceptual similarity of music. ICME 2008: 1317-1320 - [c26]Quanquan Gu, Jie Zhou:
A similarity measure under Log-Euclidean metric for stereo matching. ICPR 2008: 1-4 - [c25]Xi Wang, Chunyu Yang, Jie Zhou:
Spectral aggregation for clustering ensemble. ICPR 2008: 1-4 - [c24]Linxing Xiao, Aibo Tian, Wen Li, Jie Zhou:
Using Statistic Model to Capture the Association between Timbre and Perceived Tempo. ISMIR 2008: 659-662 - 2007
- [j12]Jie Zhou, Dashan Gao, David Zhang:
Moving Vehicle Detection for Automatic Traffic Monitoring. IEEE Trans. Veh. Technol. 56(1): 51-59 (2007) - [c23]Chunyu Yang, Jie Zhou:
Attribute Ordering and Inversion Algorithms for Parallel Coordinates. DMIN 2007: 390-396 - [c22]Dingrui Wan, Jie Zhou, David Zhang:
A Spherical Rectification for Dual-PTZ-Camera System. ICASSP (1) 2007: 777-780 - [c21]Jie Zhou, Jinwei Gu, David Zhang:
Singular Points Analysis in Fingerprints Based on Topological Structure and Orientation Field. ICB 2007: 261-270 - [c20]Xiaoke Qin, Liang Tang, Jie Zhou:
Object Extraction by Spatio-Temporal Assembling. ICIP (5) 2007: 153-156 - [c19]Qiaoge Liu, Jie Zhou, Jianyu Li, Xiaolong Ma:
Modeling and Analyzing Switching Cost of Service. IITA 2007: 270-273 - 2006
- [j11]Zhimin Fan, Jie Zhou, Ying Wu:
Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 91-105 (2006) - [j10]Chunyu Yang, Jie Zhou:
A comparative study of combining multiple enrolled samples for fingerprint verification. Pattern Recognit. 39(11): 2115-2130 (2006) - [j9]Dingrui Wan, Jie Zhou:
Fingerprint recognition using model-based density map. IEEE Trans. Image Process. 15(6): 1690-1696 (2006) - [j8]Jinwei Gu, Jie Zhou, Chunyu Yang:
Fingerprint Recognition by Combining Global Structure and Local Cues. IEEE Trans. Image Process. 15(7): 1952-1964 (2006) - [c18]Fengling Han, Jiankun Hu, Xinghuo Yu, Yong Feng, Jie Zhou:
A Novel Hybrid Crypto-Biometric Authentication Scheme for ATM Based Banking Applications. ICB 2006: 675-681 - [c17]Shuang Wu, Chunyu Yang, Jie Zhou:
Clustering-training for Data Stream Mining. ICDM Workshops 2006: 653-656 - [c16]Chunyu Yang, Jie Zhou:
HClustream: A Novel Approach for Clustering Evolving Heterogeneous Data Stream. ICDM Workshops 2006: 682-688 - 2004
- [j7]Jie Zhou, Jinwei Gu:
Modeling orientation fields of fingerprints with rational complex functions. Pattern Recognit. 37(2): 389-391 (2004) - [j6]Jinwei Gu, Jie Zhou, David Zhang:
A combination model for orientation field of fingerprints. Pattern Recognit. 37(3): 543-553 (2004) - [j5]Jie Zhou, Jinwei Gu:
A model-based method for the computation of fingerprints' orientation field. IEEE Trans. Image Process. 13(6): 821-835 (2004) - [c15]Zhimin Fan, Jie Zhou, Ying Wu:
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping. CVPR (2) 2004: 661-666 - [c14]Zhimin Fan, Jie Zhou, Ying Wu:
Multibody Motion Segmentation Based on Simulated Annealing. CVPR (1) 2004: 776-781 - [c13]Yibin Zhang, Jie Zhou:
Audio segmentation based on multi-scale audio classification. ICASSP (4) 2004: 349-352 - [c12]Jie Zhou, Chenyu Wu, Zhaoqi Bian, David Zhang:
Improving Fingerprint Recognition Based on Crease Detection. ICBA 2004: 287-293 - 2003
- [j4]Jie Zhou, Le-ping Xin, David Zhang:
Scale-orientation histogram for texture image retrieval. Pattern Recognit. 36(4): 1061-1063 (2003) - [c11]Jinwei Gu, Jie Zhou:
A Novel Model for Orientation Field of Fingerprints. CVPR (2) 2003: 493-498 - [c10]Chenyu Wu, Jie Zhou, Zhaoqi Bian, Gang Rong:
Robust Crease Detection in Fingerprint Images. CVPR (2) 2003: 505-512 - [c9]Jinwei Gu, Jie Zhou:
Model-based orientation field estimation for fingerprint recognition. ICIP (2) 2003: 899-902 - [c8]Yibin Zhang, Jie Zhou:
A study on content-based music classification. ISSPA (2) 2003: 113-116 - 2002
- [j3]Jie Zhou, Xiao guang Lu, David Zhang, Chenyu Wu:
Orientation analysis for rotated human face detection. Image Vis. Comput. 20(4): 257-264 (2002) - [j2]David Zhang, Hui Peng, Jie Zhou, Sankar K. Pal:
A novel face recognition system using hybrid neural and dual eigenspaces methods. IEEE Trans. Syst. Man Cybern. Part A 32(6): 787-793 (2002) - [c7]Zhimin Fan, Jie Zhou, Dashan Gao, Gang Rong:
Robust contour extraction for moving vehicle tracking. ICIP (3) 2002: 625-628 - [c6]Jie Zhou, David Zhang:
Face Recognition by Combining Several Algorithms. ICPR (3) 2002: 497- - 2001
- [c5]Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang:
Automated Cartridge Identification for Firearm Authentication. CVPR (1) 2001: 749-754 - [c4]Dashan Gao, Jie Zhou, Le-ping Xin:
A novel algorithm of adaptive background estimation. ICIP (2) 2001: 395-398 - [c3]Chenyu Wu, Ce Liu, Jie Zhou:
Eyeglasses Verification by Support Vector Machine. IEEE Pacific Rim Conference on Multimedia 2001: 1126-1131 - 2000
- [c2]Xiao-guang Lv, Jie Zhou, Changshui Zhang:
A Novel Algorithm for Rotated Human Face Detection. CVPR 2000: 1760-1765 - [c1]Jie Zhou, Le-ping Xin, Gang Rong, David Zhang:
Decision fusion based cartridge identification using Support Vector Machine. SMC 2000: 2873-2877
1990 – 1999
- 1995
- [j1]Jie Zhou, Jiaxiong Peng, Mingyue Ding:
Improved Codebook Edge Detection. CVGIP Graph. Model. Image Process. 57(6): 533-536 (1995)
Coauthor Index
aka: Wushouer Silamu
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