Pengguang Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Just Noticeable Difference

Discrimination Ability

Visual Representation

Support Vector Machine

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. CoRR (2024)
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) (2024)
Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia
VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Jingyao Li, Pengguang Chen, Jiaya Jia
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks. CoRR (2023)
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 (2023)
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) (2023)
Jingyao Li, Pengguang Chen, Shengju Qian, Jiaya Jia
TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation. CoRR (2023)
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 (2023)
Zhongshen Zeng, Pengguang Chen, Haiyun Jiang, Jiaya Jia
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs. CoRR (2023)
Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
BAL: Balancing Diversity and Novelty for Active Learning. CoRR (2023)
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 (2023)
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 (2022)
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
Distilling Knowledge via Knowledge Review. CVPR (2021)
Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia
Deep Structured Instance Graph for Distilling Object Detectors. ICCV (2021)
Pengguang Chen, Shu Liu, Jiaya Jia
Jigsaw Clustering for Unsupervised Visual Representation Learning. CoRR (2021)
Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia
Deep Structured Instance Graph for Distilling Object Detectors. CoRR (2021)
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
Distilling Knowledge via Knowledge Review. CoRR (2021)
Pengguang Chen, Yixin Chen, Shu Liu, Mingchang Yang, Jiaya Jia
Exploring and Improving Mobile Level Vision Transformers. CoRR (2021)
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 (2021)
Pengguang Chen, Shu Liu, Jiaya Jia
Jigsaw Clustering for Unsupervised Visual Representation Learning. CVPR (2021)
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
GridMask Data Augmentation. CoRR (2020)
Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia
Fast and Practical Neural Architecture Search. ICCV (2019)
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)
Bo Ban, Junjie Yang, Pengguang Chen, Jianbin Xiong, Qinruo Wang
Ship Track Regression Based on Support Vector Machine. IEEE Access 5 (2017)
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 (2016)
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 (2016)