World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
28859
World Ranking
851
National Ranking
126

Overview

Changsheng Xu is affiliated with the Chinese Academy of Sciences in China and has a significant body of work in computer science, particularly in the field of computer vision and pattern recognition. Their research spans multiple subfields including artificial intelligence, electrical and electronic engineering, mechanical engineering, and information systems.

The scientist's recent publications include:

  • StyTr2: Image Style Transfer with Transformers (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis (2022), at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer (2022), in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Arbitrary Video Style Transfer via Multi-Channel Correlation (2021), in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Geometry Guided Pose-Invariant Facial Expression Recognition (2020), published in IEEE Transactions on Image Processing

They frequently collaborate with a number of co-authors, including:

  • Weiming Dong
  • Xiaoshan Yang
  • Junyu Gao
  • Shengsheng Qian
  • Hantao Yao

Changsheng Xu has published extensively in various academic venues. Some of the most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing

The main fields of study they work within focus on:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Information Systems

Their research covers several specific topics, among which are:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Video Analysis and Summarization
  • Topic Modeling

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Multi-task Correlation Particle Filter for Robust Object Tracking

    Tianzhu Zhang;Changsheng Xu;Ming-Hsuan Yang

  • Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set

    Si Liu;Zheng Song;Guangcan Liu;Changsheng Xu

  • Street-to-shop: cross-scenario clothing retrieval via parts alignment and auxiliary set

    Si Liu;Zheng Song;Meng Wang;Changsheng Xu

  • Dynamic Refinement Network for Oriented and Densely Packed Object Detection

    Xingjia Pan;Yuqiang Ren;Kekai Sheng;Weiming Dong

  • DR2-Net: Deep Residual Reconstruction Network for image compressive sensing

    Hantao Yao;Feng Dai;Shiliang Zhang;Yongdong Zhang

  • Graph Convolutional Tracking

    Junyu Gao;Tianzhu Zhang;Changsheng Xu

  • Hi, magic closet, tell me what to wear!

    Si Liu;Jiashi Feng;Zheng Song;Tianzhu Zhang

  • Deep Representation Learning With Part Loss for Person Re-Identification

    Hantao Yao;Shiliang Zhang;Richang Hong;Yongdong Zhang

  • A unified framework for semantic shot classification in sports video

    Ling-Yu Duan;Min Xu;Qi Tian;Chang-Sheng Xu

  • A mid-level representation framework for semantic sports video analysis

    Ling-Yu Duan;Min Xu;Tat-Seng Chua;Qi Tian

  • Joint Pose and Expression Modeling for Facial Expression Recognition

    Feifei Zhang;Tianzhu Zhang;Qirong Mao;Changsheng Xu

  • Using Webcast Text for Semantic Event Detection in Broadcast Sports Video

    Changsheng Xu;Yi-Fan Zhang;Guangyu Zhu;Yong Rui

  • Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

    Cuicui Kang;Shiming Xiang;Shengcai Liao;Changsheng Xu

  • Creating audio keywords for event detection in soccer video

    Min Xu;N.C. Maddage;Changsheng Xu;M. Kankanhalli

  • Musical genre classification using support vector machines

    Changsheng Xu;N.C. Maddage;Xi Shao;Fang Cao

  • Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video

    Xinguo Yu;Changsheng Xu;Hon Wai Leong;Qi Tian

  • Structural Sparse Tracking

    Tianzhu Zhang;Si Liu;Changsheng Xu;Shuicheng Yan

Frequent Co-Authors

Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Ling-Yu Duan
Ling-Yu Duan Peking University
Min Xu
Min Xu University of Technology Sydney
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Si Liu
Si Liu Beihang University
Jing Liu
Jing Liu Chinese Academy of Sciences
Shuicheng Yan
Shuicheng Yan National University of Singapore
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore

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