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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
158
Citations
127506
World Ranking
24
National Ranking
14

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Longuet-Higgins Prize, Computer Vision Foundation (CVF)
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2021 - ACM Fellow For contributions to visual tracking, face processing, and low-level vision
  • 2019 - IEEE Fellow For contributions to object tracking and face recognition
  • 2007 - ACM Senior Member

Overview

Ming-Hsuan Yang is a researcher affiliated with the University of California, Merced in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering, and Electrical and Electronic Engineering.

Their research contributions center around topics such as advanced image processing techniques, advanced neural network applications, domain adaptation and few-shot learning, advanced vision and imaging, advanced image and video retrieval techniques, multimodal machine learning applications, and generative adversarial networks and image synthesis.

Ming-Hsuan Yang has published extensively, with frequent contributions to key academic venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing

Some of the more recent published papers include:

  • Restormer: Efficient Transformer for High-Resolution Image Restoration, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Diffusion Models: A Comprehensive Survey of Methods and Applications, 2023, ACM Computing Surveys
  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking, 2020, Computer Vision and Image Understanding
  • DRIT++: Diverse Image-to-Image Translation via Disentangled Representations, 2020, International Journal of Computer Vision
  • Learning Enriched Features for Fast Image Restoration and Enhancement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Ming-Hsuan Yang collaborates with several frequently appearing coauthors, including Fahad Shahbaz Khan, Yi-Hsuan Tsai, Hung-Yu Tseng, Yuankai Qi, and Boqing Gong.

The researcher has been recognized with professional distinctions such as being named an IEEE Fellow in 2019 for contributions to object tracking and face recognition, and an ACM Senior Member since 2007.

Best Publications

  • Online Object Tracking: A Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Detecting faces in images: a survey

    Ming-Hsuan Yang;D.J. Kriegman;N. Ahuja

  • Incremental Learning for Robust Visual Tracking

    David A. Ross;Jongwoo Lim;Ruei-Sung Lin;Ming-Hsuan Yang

  • Object Tracking Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Res2Net: A New Multi-Scale Backbone Architecture

    Shang-Hua Gao;Ming-Ming Cheng;Kai Zhao;Xin-Yu Zhang

  • Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Saliency Detection via Graph-Based Manifold Ranking

    Chuan Yang;Lihe Zhang;Huchuan Lu;Xiang Ruan

  • Robust Object Tracking with Online Multiple Instance Learning

    B. Babenko;Ming-Hsuan Yang;S. Belongie

  • Visual tracking with online Multiple Instance Learning

    Boris Babenko;Ming-Hsuan Yang;Serge Belongie

  • Fast Compressive Tracking

    Kaihua Zhang;Lei Zhang;Ming Hsuan Yang

  • Hierarchical Convolutional Features for Visual Tracking

    Chao Ma;Jia-Bin Huang;Xiaokang Yang;Ming-Hsuan Yang

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks

    Wenqi Ren;Wenqi Ren;Si Liu;Hua Zhang;Jinshan Pan

  • Multi-Stage Progressive Image Restoration

    Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat

  • Visual tracking via adaptive structural local sparse appearance model

    Xu Jia;Huchuan Lu;Ming-Hsuan Yang

  • Learning to Adapt Structured Output Space for Semantic Segmentation

    Yi-Hsuan Tsai;Wei-Chih Hung;Samuel Schulter;Kihyuk Sohn

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Diverse Image-to-Image Translation via Disentangled Representations

    Hsin-Ying Lee;Hung-Yu Tseng;Jia-Bin Huang;Maneesh Kumar Singh

  • Real-time compressive tracking

    Kaihua Zhang;Lei Zhang;Ming-Hsuan Yang

  • Robust object tracking via sparsity-based collaborative model

    Wei Zhong;Huchuan Lu;Ming-Hsuan Yang

Frequent Co-Authors

Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Huchuan Lu
Huchuan Lu Dalian University of Technology
Jongwoo Lim
Jongwoo Lim Seoul National University
Deqing Sun
Deqing Sun Google (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Jan Kautz
Jan Kautz Nvidia (United States)
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Qingxiong Yang
Qingxiong Yang City University of Hong Kong

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