Chen, Peixian

18 publications

ICLR 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji

NeurIPS 2025 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He

NeurIPS 2025 VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun

CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-Modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun

NeurIPS 2025 Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xing Sun, Rongrong Ji

CVPR 2024 Aligning and Prompting Everything All at Once for Universal Visual Perception Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji

CVPR 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma

NeurIPS 2023 Multi-Modal Queried Object Detection in the Wild Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu

ECCV 2022 ARM: Any-Time Super-Resolution Method Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

ECCV 2022 Efficient Decoder-Free Object Detection with Transformers Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen

ICCV 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu

AAAI 2021 Dual Distribution Alignment Network for Generalizable Person Re-Identification Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji

ICCV 2021 Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID Peixian Chen, Wenfeng Liu, Pingyang Dai, Jianzhuang Liu, Qixiang Ye, Mingliang Xu, Qi’an Chen, Rongrong Ji

AAAI 2017 Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen

AAAI 2016 Progressive EM for Latent Tree Models and Hierarchical Topic Detection Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen

CVPR 2015 Bayesian Adaptive Matrix Factorization with Automatic Model Selection Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung

MLJ 2015 Greedy Learning of Latent Tree Models for Multidimensional Clustering Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang

ECML-PKDD 2014 Hierarchical Latent Tree Analysis for Topic Detection Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen