World's Best Scientists 2026 revealed!
Changhu Wang

Changhu Wang

D-Index & Metrics

Computer Science

D-Index
46
Citations
10102
World Ranking
6775
National Ranking
907

Overview

Changhu Wang is affiliated with ByteDance in China and has contributed extensively to research in the field of computer science, focusing primarily on computer vision and pattern recognition. Their publication record includes 125 works in computer science, with significant specialization in subfields such as computer vision and pattern recognition, artificial intelligence, media technology, radiology, nuclear medicine and imaging, and electrical and electronic engineering.

The scientist's research interests encompass a range of advanced topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Changhu Wang has authored numerous papers in frequently chosen venues, demonstrating extensive engagement in top platforms for their research domain. Their publications appear predominantly in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent papers include:

  • "TransFG: A Transformer Architecture for Fine-Grained Recognition" (2022) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "TransTrack: Multiple Object Tracking with Transformer" (2020) published on arXiv (Cornell University)
  • "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Sparse R-CNN: End-to-End Object Detection with Learnable Proposals" (2020) published on arXiv (Cornell University)
  • "Mining Contextual Information Beyond Image for Semantic Segmentation" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Collaborative work is a significant aspect of their research output. Frequent co-authors include:

  • Zehuan Yuan
  • Dongdong Yu
  • Qi She
  • Henghui Ding
  • Peize Sun

Changhu Wang's work covers a broad spectrum within computer vision and artificial intelligence, contributing to foundational and applied research topics by leveraging transformer architectures, neural network applications, and multimodal learning frameworks aligned with evolving trends in video analysis and semantic segmentation.

Best Publications

  • Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

    Peize Sun;Rufeng Zhang;Yi Jiang;Tao Kong

  • Improving Convolutional Networks With Self-Calibrated Convolutions

    Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Changhu Wang

  • TransFG: A Transformer Architecture for Fine-grained Recognition

    Ju He;Jieneng Chen;Shuai Liu;Adam Kortylewski

  • Photo2Trip: generating travel routes from geo-tagged photos for trip planning

    Xin Lu;Changhu Wang;Jiang-Ming Yang;Yanwei Pang

  • Involution: Inverting the Inherence of Convolution for Visual Recognition

    Duo Li;Jie Hu;Changhu Wang;Xiangtai Li

  • TransTrack: Multiple-Object Tracking with Transformer.

    Peize Sun;Yi Jiang;Rufeng Zhang;Enze Xie

  • Spatial-bag-of-features

    Yang Cao;Changhu Wang;Zhiwei Li;Liqing Zhang

  • Edgel index for large-scale sketch-based image search

    Yang Cao;Changhu Wang;Liqing Zhang;Lei Zhang

  • Multi-label sparse coding for automatic image annotation

    Changhu Wang;Shuicheng Yan;Lei Zhang;Hong-Jiang Zhang

  • Image annotation refinement using random walk with restarts

    Changhu Wang;Feng Jing;Lei Zhang;Hong-Jiang Zhang

  • Generative Dual Adversarial Network for Generalized Zero-Shot Learning

    He Huang;Changhu Wang;Philip S. Yu;Chang-Dong Wang

  • Equip tourists with knowledge mined from travelogues

    Qiang Hao;Rui Cai;Changhu Wang;Rong Xiao

  • Snippet Extraction and Ranking

    Rong Xiao;Qiang Hao;Changhu Wang;Rui Cai

  • Mining topic-related aspects from user generated content

    Rui Cai;Qiang Hao;Changhu Wang;Rong Xiao

  • Learning to reduce the semantic gap in web image retrieval and annotation

    Changhu Wang;Lei Zhang;Hong-Jiang Zhang

  • MindFinder: interactive sketch-based image search on millions of images

    Yang Cao;Hai Wang;Changhu Wang;Zhiwei Li

  • An Introduction to Image Synthesis with Generative Adversarial Nets.

    He Huang;Philip S. Yu;Changhu Wang

  • Content-Based Image Annotation Refinement

    Changhu Wang;Feng Jing;Lei Zhang;Hong-Jiang Zhang

  • Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information

    Kai Su;Dongdong Yu;Zhenqi Xu;Xin Geng

  • IGroup: web image search results clustering

    Feng Jing;Changhu Wang;Yuhuan Yao;Kefeng Deng

Frequent Co-Authors

Lei Zhang
Lei Zhang International Digital Economy Academy
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Ping Luo
Ping Luo University of Hong Kong
Chang Wen Chen
Chang Wen Chen Hong Kong Polytechnic University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhiwei Li
Zhiwei Li Microsoft (United States)
Yong Rui
Yong Rui Lenovo (China)
Xianhui Chen
Xianhui Chen University of Science and Technology of China
Fuchun Sun
Fuchun Sun Tsinghua University

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