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Peixian Chen
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2020 – today
- 2024
- [c18]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. CVPR 2024: 1082-1090 - [c17]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. CVPR 2024: 13193-13203 - [c16]Guilin Li
, Mengdan Zhang
Multimodal Inplace Prompt Tuning for Open-set Object Detection. ACM Multimedia 2024: 8062-8071 - [c15]Timin Gao
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. ACM Multimedia 2024: 9096-9105 - [i19]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 abs/2404.03518 (2024) - [i18]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 abs/2404.16033 (2024) - [i17]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 abs/2405.21075 (2024) - [i16]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 abs/2406.10228 (2024) - 2023
- [c14]Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu:
Multi-modal Queried Object Detection in the Wild. NeurIPS 2023 - [c13]Yipeng Wang, Peixian Chen, Shan Ai, Weipeng Liang, Binjie Liao, Weichuan Mo, Heng Wang:
Two-Stage Anomaly Detection in LEO Satellite Network. SciSec 2023: 423-438 - [i15]Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu:
Multi-modal Queried Object Detection in the Wild. CoRR abs/2305.18980 (2023) - [i14]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 abs/2306.13394 (2023) - [i13]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 abs/2312.02153 (2023) - [i12]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 abs/2312.12436 (2023) - 2022
- [j4]Pingyang Dai
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 1012-1026 (2022) - [c12]Peixian Chen, Mengdan Zhang, Yunhang Shen
Efficient Decoder-Free Object Detection with Transformers. ECCV (10) 2022: 70-86 - [c11]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: 254-270 - [i11]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022) - [i10]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-free Object Detection with Transformers. CoRR abs/2206.06829 (2022) - [i9]Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen:
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. CoRR abs/2206.11134 (2022) - 2021
- [j3]Qiong Wu, Pingyang Dai
Deep adversarial data augmentation with attribute guided for person re-identification. Signal Image Video Process. 15(4): 655-662 (2021) - [c10]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: 1054-1062 - [c9]Peixian Chen, Wenfeng Liu, Pingyang Dai
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. ICCV 2021: 11813-11822 - [c8]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: 16148-16157 - 2020
- [i8]Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. CoRR abs/2007.13249 (2020) - [i7]Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Rongrong Ji:
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. CoRR abs/2007.13264 (2020)
2010 – 2019
- 2019
- [c7]Peixian Chen, Zhourong Chen, Nevin L. Zhang:
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. ECSQARU 2019: 265-276 - [i6]Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang:
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding. CoRR abs/1905.11862 (2019) - 2017
- [j2]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon
Latent tree models for hierarchical topic detection. Artif. Intell. 250: 105-124 (2017) - [c6]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. AAAI 2017: 1805-1811 - [c5]Leonard K. M. Poon
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. APWeb/WAIM (2) 2017: 341-344 - [i5]Peixian Chen, Zhourong Chen, Nevin L. Zhang:
Document Generation with Hierarchical Latent Tree Models. CoRR abs/1712.04116 (2017) - 2016
- [c4]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. AAAI 2016: 1498-1504 - [i4]Peixian Chen, Nevin L. Zhang, Tengfei Liu, Leonard K. M. Poon, Zhourong Chen:
Latent Tree Models for Hierarchical Topic Detection. CoRR abs/1605.06650 (2016) - [i3]Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung, Peixian Chen:
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. CoRR abs/1609.05294 (2016) - 2015
- [j1]Tengfei Liu, Nevin Lianwen Zhang
Greedy learning of latent tree models for multidimensional clustering. Mach. Learn. 98(1-2): 301-330 (2015) - [c3]Peixian Chen, Naiyan Wang, Nevin L. Zhang
Bayesian adaptive matrix factorization with automatic model selection. CVPR 2015: 1284-1292 - [i2]Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
Progressive EM for Latent Tree Models and Hierarchical Topic Detection. CoRR abs/1508.00973 (2015) - 2014
- [c2]Nevin Lianwen Zhang
A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges. Probabilistic Graphical Models 2014: 567-580 - [c1]Tengfei Liu, Nevin Lianwen Zhang
Hierarchical Latent Tree Analysis for Topic Detection. ECML/PKDD (2) 2014: 256-272 - [i1]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 abs/1410.7140 (2014)
Coauthor Index
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