Peixian Chen

According to our database, Peixian Chen authored at least 33 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VEGA: 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

CoRR, 2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

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

CoRR, 2024

Multimodal Inplace Prompt Tuning for Open-set Object Detection.

Guilin Li, Mengdan Zhang, Xiawu Zheng, Peixian Chen, Zihan Wang, Yunhang Shen, Mingchen Zhuge, Chenglin Wu, Fei Chao, Ke Li, Xing Sun, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM.

Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise.

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

CoRR, 2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

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

CoRR, 2023

Two-Stage Anomaly Detection in LEO Satellite Network.

Yipeng Wang, Peixian Chen, Shan Ai, Weipeng Liang, Binjie Liao, Weichuan Mo, Heng Wang

Proceedings of the Science of Cyber Security - 5th International Conference, 2023

Multi-modal Queried Object Detection in the Wild.

Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation.

Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji

IEEE Trans. Image Process., 2022

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization.

Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen

CoRR, 2022

Efficient Decoder-Free Object Detection with Transformers.

Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

ARM: Any-Time Super-Resolution Method.

Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Deep adversarial data augmentation with attribute guided for person re-identification.

Qiong Wu, Pingyang Dai, Peixian Chen, Yuyu Huang

Signal Image Video Process., 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Distribution Alignment Network for Generalizable Person Re-Identification.

Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation.

Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji

CoRR, 2020

Dual Distribution Alignment Network for Generalizable Person Re-Identification.

Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji

CoRR, 2020

2019

Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding.

Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang

CoRR, 2019

A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models.

Peixian Chen, Zhourong Chen, Nevin L. Zhang

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2017

Document Generation with Hierarchical Latent Tree Models.

Peixian Chen, Zhourong Chen, Nevin L. Zhang

CoRR, 2017

Latent tree models for hierarchical topic detection.

Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen, Farhan Khawar

Artif. Intell., 2017

Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis.

Leonard K. M. Poon, Chun Fai Leung, Peixian Chen, Nevin L. Zhang

Proceedings of the Web and Big Data - First International Joint Conference, 2017

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis.

Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Latent Tree Models for Hierarchical Topic Detection.

Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen

CoRR, 2016

Progressive EM for Latent Tree Models and Hierarchical Topic Detection.

Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Mach. Learn., 2015

Bayesian adaptive matrix factorization with automatic model selection.

Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis.

Nevin Lianwen Zhang, Chen Fu, Tengfei Liu, Kin Man Poon, Peixian Chen, Bao Xin Chen, Yun Ling Zhang

CoRR, 2014

Hierarchical Latent Tree Analysis for Topic Detection.

Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges.

Nevin Lianwen Zhang, Xiaofei Wang, Peixian Chen

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014