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2020 – today
- 2024
[j8]Jingyao Li
, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3653-3664 (2024)- [j7]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8994-9003 (2024) - [j6]Jingyao Li, Pengguang Chen, Shengju Qian, Shu Liu, Jiaya Jia:
TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11287-11297 (2024) - [c7]Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen:
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. ECCV (7) 2024: 187-203 - [c6]Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen:
MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. ECCV (70) 2024: 314-330 - [i20]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. CoRR abs/2401.02611 (2024) - [i19]Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia:
VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning. CoRR abs/2402.14456 (2024) - [i18]Jingyao Li, Pengguang Chen, Sitong Wu, Chuanyang Zheng, Hong Xu, Jiaya Jia:
RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models. CoRR abs/2406.03757 (2024) - [i17]Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia:
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. CoRR abs/2406.13975 (2024) - [i16]Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen:
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR abs/2407.02228 (2024) - [i15]Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen:
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. CoRR abs/2408.15101 (2024) - 2023
- [j5]Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia:
Adaptive Perspective Distillation for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1372-1387 (2023) - [c5]Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CVPR 2023: 11578-11589 - [i14]Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CoRR abs/2302.02615 (2023) - [i13]Jingyao Li, Pengguang Chen, Shengju Qian, Jiaya Jia:
TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation. CoRR abs/2304.07547 (2023) - [i12]Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu:
A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR abs/2308.12029 (2023) - [i11]Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen:
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. CoRR abs/2310.17316 (2023) - [i10]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. CoRR abs/2312.15944 (2023) - [i9]Jingyao Li, Pengguang Chen, Jiaya Jia:
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks. CoRR abs/2312.15960 (2023) - [i8]Zhongshen Zeng, Pengguang Chen, Haiyun Jiang, Jiaya Jia:
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs. CoRR abs/2312.17080 (2023) - 2022
- [i7]Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia:
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. CoRR abs/2203.00862 (2022) - 2021
- [c4]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
Distilling Knowledge via Knowledge Review. CVPR 2021: 5008-5017 - [c3]Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. CVPR 2021: 11526-11535 - [c2]Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia:
Deep Structured Instance Graph for Distilling Object Detectors. ICCV 2021: 4339-4348 - [i6]Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. CoRR abs/2104.00323 (2021) - [i5]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
Distilling Knowledge via Knowledge Review. CoRR abs/2104.09044 (2021) - [i4]Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia:
Exploring and Improving Mobile Level Vision Transformers. CoRR abs/2108.13015 (2021) - [i3]Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia:
Deep Structured Instance Graph for Distilling Object Detectors. CoRR abs/2109.12862 (2021) - [i2]Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen:
Adversarial Attacks on ML Defense Models Competition. CoRR abs/2110.08042 (2021) - 2020
- [i1]Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
GridMask Data Augmentation. CoRR abs/2001.04086 (2020)
2010 – 2019
- 2019
- [c1]Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast and Practical Neural Architecture Search. ICCV 2019: 6508-6517 - 2018
- [j4]Xinyang Wang, Deyu Qi, Weiwei Lin, Mincong Yu, Zhishuo Zheng, Naqin Zhou, Pengguang Chen:
A general framework for big data knowledge discovery and integration. Concurr. Comput. Pract. Exp. 30(13) (2018) - 2017
- [j3]Bo Ban, Junjie Yang, Pengguang Chen, Jianbin Xiong, Qinruo Wang:
Ship Track Regression Based on Support Vector Machine. IEEE Access 5: 18836-18846 (2017) - 2016
- [j2]Pengguang Chen, Xingming Zhang, Pong C. Yuen, Aihua Mao:
Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow. Neurocomputing 214: 368-375 (2016) - [j1]Pengguang Chen, Xingming Zhang, Aihua Mao, Jianbin Xiong:
Visual tracking via adaptive multi-task feature learning with calibration and identification. Signal Process. Image Commun. 49: 17-24 (2016)
Coauthor Index
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last updated on 2024-12-12 20:57 CET by the dblp team
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