Peixian Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Pose Estimation

Comprehensive Evaluation

Topic Detection

Top Venues

Publications

Chaoyou Fu, Yuhan Dai, Yondong 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, Rongrong Ji, Xing Sun
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR (2024)
Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation. CoRR (2024)
Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. CoRR (2024)
Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. CoRR (2024)
Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu
Multi-modal Queried Object Detection in the Wild. NeurIPS (2023)
Yipeng Wang, Peixian Chen, Shan Ai, Weipeng Liang, Binjie Liao, Weichuan Mo, Heng Wang
Two-Stage Anomaly Detection in LEO Satellite Network. SciSec (2023)
Chaoyou Fu, Renrui Zhang, Zihan Wang, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. CoRR (2023)
Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR (2023)
Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu
Multi-modal Queried Object Detection in the Wild. CoRR (2023)
Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR (2023)
Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31 (2022)
Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen
Efficient Decoder-Free Object Detection with Transformers. ECCV (10) (2022)
Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method. CoRR (2022)
Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method. ECCV (19) (2022)
Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen
Efficient Decoder-free Object Detection with Transformers. CoRR (2022)
Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. CoRR (2022)
Qiong Wu, Pingyang Dai, Peixian Chen, Yuyu Huang
Deep adversarial data augmentation with attribute guided for person re-identification. Signal Image Video Process. 15 (4) (2021)
Peixian Chen, Wenfeng Liu, Pingyang Dai, Jianzhuang Liu, Qixiang Ye, Mingliang Xu, Qi'an Chen, Rongrong Ji
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. ICCV (2021)
Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji
Dual Distribution Alignment Network for Generalizable Person Re-Identification. AAAI (2021)
Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu
Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV (2021)
Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR (2020)
Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji
Dual Distribution Alignment Network for Generalizable Person Re-Identification. CoRR (2020)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. ECSQARU (2019)
Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding. CoRR (2019)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI (2017)
Peixian Chen, Zhourong Chen, Nevin L. Zhang
Document Generation with Hierarchical Latent Tree Models. CoRR (2017)
Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. APWeb/WAIM (2) (2017)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar
Latent tree models for hierarchical topic detection. Artif. Intell. 250 (2017)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI (2016)
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR (2016)
Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen
Latent Tree Models for Hierarchical Topic Detection. CoRR (2016)
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang
Greedy learning of latent tree models for multidimensional clustering. Mach. Learn. 98 (1-2) (2015)
Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR (2015)
Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung
Bayesian adaptive matrix factorization with automatic model selection. CVPR (2015)
Nevin Lianwen Zhang, Xiaofei Wang, Peixian Chen
A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges. Probabilistic Graphical Models (2014)
Nevin Lianwen Zhang, Chen Fu, Tengfei Liu, Kin Man Poon, Peixian Chen, Bao Xin Chen, Yun Ling Zhang
An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. CoRR (2014)
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen
Hierarchical Latent Tree Analysis for Topic Detection. ECML/PKDD (2) (2014)