Chen, Pengguang

8 publications

ICLR 2025 MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia

ECCV 2024 Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics Shuai Yang, ZhiFei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen

NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs 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

ECCV 2024 MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Yingcong Chen

CVPR 2023 Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia

ICCV 2021 Deep Structured Instance Graph for Distilling Object Detectors Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia

CVPR 2021 Distilling Knowledge via Knowledge Review Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia

CVPR 2021 Jigsaw Clustering for Unsupervised Visual Representation Learning Pengguang Chen, Shu Liu, Jiaya Jia