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Peng Xu 0005
Person information
- affiliation: Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China
Other persons with the same name
- Peng Xu — disambiguation page
- Peng Xu 0001
— University of Electronic Science and Technology of China, Center for Information in Medicine, Chengdu, China (and 2 more) - Peng Xu 0002
— Chongqing University of Posts and Telecommunications, China (and 1 more) - Peng Xu 0003
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Peng Xu 0004
— Southeast University, State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Nanjing, China (and 1 more) - Peng Xu 0006
— Tsinghua University, Department of Precision Instrument, Beijing, China - Peng Xu 0007
— Hubei University of Technology, School of Science, Wuhan, China (and 3 more) - Peng Xu 0008
— The Hong Kong University of Science and Technology - Peng Xu 0009 — University of Maryland, Department of Electrical and Computer Engineering, Institute for Systems Research, MD, USA
- Peng Xu 0010
— Google DeepMind, Department of Robotics
- Peng Xu 0011
— Donghua University, College of Science, Shanghai, China - Peng Xu 0012
— Harbin Institute of Technology, State Key Laboratory of Robotics and System, China (and 1 more) - Peng Xu 0013
— University of Massachusetts Boston, MA, USA - Peng Xu 0014
— Fudan University, State Key Laboratory of Integrated Chips and Systems, Shanghai, China - Peng Xu 0015
— Nanjing University of Aeronautics and Astronautics, MoE Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, China - Peng Xu 0016
— Chinese Academy of Sciences, Institute of Mechanics, Beijing, China (and 1 more) - Peng Xu 0017
— Bytedance, San Jose, CA, USA - Peng Xu 0018
— Southwest Jiaotong University, School of Mathematics, National-Local Joint Engineering Laboratory of System Credibility Automatic Verification, Chengdu, China - Peng Xu 0019
— University of Shantou, College of Engineering, Key Lab of Digital Signal and Image Processing of Guangdong Province, China - Peng Xu 0020
— State Grid Gansu Electric Power Company Digital Division, China - Peng Xu 0021
— Nanjing University of Science and Technology, China - Peng Xu 0022
— Xi'an University of Technology, Faculty of Computer Science and Engineering, China - Peng Xu 0023
— Alibaba Cloud Computing, Beijing, China - Peng Xu 0024
— Jinan University, School of Mechanics and Construction Engineering, MOE Key Laboratory of Disaster Forecast and Control in Engineering, Guangzhou, China - Peng Xu 0025
— University of Alabama at Birmingham, Informatics Institute, Department of Genetics, AL, USA - Peng Xu 0026
— Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China - Peng Xu 0027
— Virginia Tech, Grado Department of Industrial and Systems Engineering, Blacksburg, VA, USA - Peng Xu 0028
— Dalian Maritime University, Marine Engineering College, State Key Laboratory of Maritime Technology and Safety, China - Peng Xu 0029
— Chinese Academy of Sciences, Innovation Academy for Precision Measurement Science and Technology, Wuhan, China (and 1 more) - Peng Xu 0030
— China Jiliang University, College of Science, Hangzhou, China (and 1 more) - Peng Xu 0031
— Beijing Film Academy, School of Fine Art, China - Peng Xu 0032
— Chongqing Technology and Business University, School of Artificial Intelligence, Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology, China - Peng Xu 0033
— Beijing Jiaotong University, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China (and 2 more) - Peng Xu 0034
— People's Liberation Army Engineering University, Nanjing, China (and 1 more) - Peng Xu 0035
— Shanghai AI Laboratory, OpenGVLab, China (and 1 more) - Peng Xu 0036
— Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, China - Peng Xu 0037
— Qingdao University of Technology, School of Information and Control Engineering, China - Peng Xu 0038
— Aalto University, School of Business, Espoo, Finland - Peng Xu 0039
— Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China - Peng Xu 0040
— Ant Group, USA - Peng Xu 0041
— Southeast University, School of Energy and Environment, Nanjing, China (and 2 more) - Peng Xu 0042
— Guangdong Polytechnic Normal University, School of Electronics and Information, Guangzhou, China (and 1 more) - Peng Xu 0043
— Southwest University of Science and Technology, School of Information Engineering, Mianyang, China - Peng Xu 0044
— Southwest University of Political Science and Law, School of Business, Chongqing, China - Peng Xu 0045
— Anhui University, School of Computer Science and Technology, MOE Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China - Peng Xu 0046
— Shanghai Jiao Tong University, Shanghai Qi Zhi Institute, China - Peng Xu 0047
— Xi'an Research Inst of Hi-Tech, China - Peng Xu 0048
— China Academy of Railway Sciences, Signal and Communication Research Institute, Beijing, China - Peng Xu 0049
— National University of Defense Technology, College of Computer, Changcha, China - Peng Xu 0050
— Jiangsu Normal University, School of Electrical Engineering and Automation, Xuzhou, China - Peng Xu 0051
— Jiangnan University, School of Artificial Intelligence and Computer Science, Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China - Peng Xu 0052
(aka: Ship Peng Xu) — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (and 2 more) - Peng Xu 0053
— Hefei University of Technology, School of Instrument Science and Opto-Electronics Engineering, Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, China - Peng Xu 0054
— Iowa State University, Department of Chemistry, Ames Laboratory, IA, USA - Peng Xu 0055
— Xi'an Science and Technology Museum, China - Peng Xu 0056
— Nanjing Normal University, School of Business, China
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2020 – today
- 2026
[j11]Ge-Peng Ji
, Jingyi Liu, Peng Xu
, Nick Barnes
, Fahad Shahbaz Khan
, Salman Khan
, Deng-Ping Fan
:
Frontiers in Intelligent Colonoscopy. Mach. Intell. Res. 23(1): 70-114 (2026)- 2025
[j10]Peng Xu, Song Bai, Bowen Zhou, David A. Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool:
Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5127-5129 (2025)
[i20]Pancheng Zhao, Deng-Ping Fan, Shupeng Cheng, Salman H. Khan, Fahad Shahbaz Khan, David A. Clifton, Peng Xu, Jufeng Yang:
Deep Learning in Concealed Dense Prediction. CoRR abs/2504.10979 (2025)
[i19]Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang
, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David A. Clifton, Luc Van Gool:
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models. CoRR abs/2505.15616 (2025)
[i18]Xinwei Long, Kai Tian, Peng Xu, Guoli Jia, Jingxuan Li, Sa Yang, Yihua Shao, Kaiyan Zhang, Che Jiang, Hao Xu, Yang Liu, Jiaheng Ma, Bowen Zhou:
AdsQA: Towards Advertisement Video Understanding. CoRR abs/2509.08621 (2025)
[i17]Shilan Zhang, Jirui Huang, Ruilin Yao, Cong Wang, Yaxiong Chen, Peng Xu, Shengwu Xiong:
ColLab: A Collaborative Spatial Progressive Data Engine for Referring Expression Comprehension and Generation. CoRR abs/2509.23955 (2025)- 2024
[c6]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang
, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CVPR 2024: 4092-4101
[i16]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CoRR abs/2404.00292 (2024)
[i15]Ge-Peng Ji, Jing Liu, Peng Xu, Nick Barnes, Fahad Shahbaz Khan, Salman H. Khan, Deng-Ping Fan:
Frontiers in Intelligent Colonoscopy. CoRR abs/2410.17241 (2024)- 2023
[j9]Ge-Peng Ji, Deng-Ping Fan
, Peng Xu, Bowen Zhou, Ming-Ming Cheng
, Luc Van Gool:
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66(12) (2023)
[j8]Peng Xu
, Timothy M. Hospedales
, Qiyue Yin
, Yi-Zhe Song
, Tao Xiang
, Liang Wang
:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023)
[j7]Peng Xu
, Xiatian Zhu
, David A. Clifton
:
Multimodal Learning With Transformers: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12113-12132 (2023)
[j6]Deng-Ping Fan
, Ge-Peng Ji
, Peng Xu
, Ming-Ming Cheng
, Christos Sakaridis
, Luc Van Gool
:
Advances in deep concealed scene understanding. Vis. Intell. 1(1) (2023)
[c5]Mingkun Li, Shupeng Cheng
, Peng Xu, Xiantian Zhu, Chun-Guang Li, Jun Guo:
Unsupervised Long-Term Person Re-Identification with Clothes Change. IC-NIDC 2023: 167-171
[i14]Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool:
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR abs/2304.06022 (2023)
[i13]Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in Deep Concealed Scene Understanding. CoRR abs/2304.11234 (2023)
[i12]Mingkun Li, Peng Xu, Chun-Guang Li, Jun Guo:
MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change. CoRR abs/2305.13600 (2023)
[i11]Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool:
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR abs/2308.04370 (2023)
[i10]Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu:
Large Model Based Referring Camouflaged Object Detection. CoRR abs/2311.17122 (2023)- 2022
[j5]Peng Xu
, Chaitanya K. Joshi
, Xavier Bresson
:
Multigraph Transformer for Free-Hand Sketch Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5150-5161 (2022)
[i9]Mingkun Li, Peng Xu, Xiatian Zhu, Jun Guo:
Unsupervised Long-Term Person Re-Identification with Clothes Change. CoRR abs/2202.03087 (2022)- 2021
[j4]Peng Xu
, Zeyu Song
, Qiyue Yin, Yi-Zhe Song
, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1503-1513 (2021)
[j3]Peng Xu
, Kun Liu
, Tao Xiang
, Timothy M. Hospedales
, Zhanyu Ma
, Jun Guo
, Yi-Zhe Song
:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1995-2007 (2021)
[j2]Peng Xu
, Yongye Huang, Tongtong Yuan, Tao Xiang
, Timothy M. Hospedales
, Yi-Zhe Song
, Liang Wang:
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3366-3379 (2021)- 2020
[i8]Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. CoRR abs/2001.02600 (2020)
[i7]Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. CoRR abs/2002.00867 (2020)
[i6]Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song:
Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR abs/2002.09461 (2020)
[i5]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR abs/2007.04101 (2020)
2010 – 2019
- 2019
[c4]Yao Xie, Peng Xu, Zhanyu Ma:
Deep Zero-Shot Learning for Scene Sketch. ICIP 2019: 3661-3665
[i4]Yao Xie, Peng Xu, Zhanyu Ma:
Deep Zero-Shot Learning for Scene Sketch. CoRR abs/1905.04510 (2019)
[i3]Peng Xu, Chaitanya K. Joshi
, Xavier Bresson:
Multi-Graph Transformer for Free-Hand Sketch Recognition. CoRR abs/1912.11258 (2019)- 2018
[j1]Peng Xu
, Qiyue Yin, Yongye Huang, Yi-Zhe Song
, Zhanyu Ma
, Liang Wang, Tao Xiang, W. Bastiaan Kleijn
, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018)
[c3]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song
, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR 2018: 8090-8098
[i2]Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo:
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR abs/1804.01401 (2018)- 2017
[i1]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn
, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017)- 2016
[c2]Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song
, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34
[c1]Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song
, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504
Coauthor Index

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last updated on 2026-03-21 01:12 CET by the dblp team
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