Ming–Hsuan Yang

106.9k citations

552 papers · 52.6k indexed · 48 hit papers · h-index 104

Impact in

Computer Vision and Pattern Recognition top 0.01%
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Image and Signal Denoising Methods
Media Technology top 0.01%

Papers in

Computer Vision and Pattern Recognition 424
- Video Surveillance and Tracking Methods 127
- Advanced Image Processing Techniques 101
- Advanced Image and Video Retrieval Techniques 97
- Advanced Vision and Imaging 96
- Image Enhancement Techniques 57
- Human Pose and Action Recognition 55
- Advanced Neural Network Applications 48
- Image and Signal Denoising Methods 47
Media Technology 58

Co-authors: Jongwoo Lim Huchuan Lu Yi Wu Jia‐Bin Huang Chao Ma Jinshan Pan Narendra Ahuja Xiang Ruan
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (60 papers)IEEE Transactions on Image Processing (31 papers)International Journal of Computer Vision (27 papers)Computer Vision and Image Understanding (15 papers)IEEE Transactions on Circuits and Systems for Video Technology (13 papers)
Partner nations: United States China South Korea

In The Last Decade

Ming–Hsuan Yang

519 papers receiving 51.1k citations

Hit Papers

15 papers align trajectories log scale

Foundation Models Defining a New Era in Vision: A Survey and Outlook 2025 · 41 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Transactions on Pattern Analysis and Machine Intelligence
2024 IEEE Transactions on Medical Imaging
2024 DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
2023 SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
2023 ACM Computing Surveys
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 International Journal of Computer Vision
2021 Multi-Stage Progressive Image Restoration
2021 Spatiotemporal Contrastive Video Representation Learning
2021 IEEE Transactions on Pattern Analysis and Machine Intelligence
2020 Computer Vision and Image Understanding
2020 International Journal of Computer Vision
2020 Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
2019 Depth-Aware Video Frame Interpolation
2019 IEEE Transactions on Pattern Analysis and Machine Intelligence
2019 Target-Aware Deep Tracking
2019 IEEE Transactions on Image Processing
2018 Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence
2018 PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
2018 Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
2017 Computer Vision and Image Understanding
2017 Generative Face Completion
2017 Multi-task Correlation Particle Filter for Robust Object Tracking
2016 Blind Image Deblurring Using Dark Channel Prior
2016 A Comparative Study for Single Image Blind Deblurring
2016 Hedged Deep Tracking
2016 IEEE Transactions on Image Processing
2015 Adelaide Research & Scholarship (AR&S) (University of Adelaide)
2015 The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry)
2015 Adelaide Research & Scholarship (AR&S) (University of Adelaide)
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence
2014 Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence
2013 Saliency Detection via Absorbing Markov Chain
2013 Saliency Detection via Graph-Based Manifold Ranking
2013 Saliency Detection via Dense and Sparse Reconstruction
2013 Online Object Tracking: A Benchmark
2012 IEEE Transactions on Image Processing
2012 Robust object tracking via sparsity-based collaborative model
2012 Visual tracking via adaptive structural local sparse appearance model
2011 Superpixel tracking
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2007 International Journal of Computer Vision
2002 Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
2002 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Ming–Hsuan Yang

Since Specialization

Citations

This map shows the geographic impact of Ming–Hsuan Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming–Hsuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming–Hsuan Yang more than expected).

Fields of papers citing papers by Ming–Hsuan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Hsuan Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming–Hsuan Yang. The network helps show where Ming–Hsuan Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming–Hsuan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming–Hsuan Yang Line = papers co-authored together Ming–Hsuan Yang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Exploring plain ViT features for multi-class unsupervised visual anomaly detection Computer Vision and Image Understanding ·Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming–Hsuan Yang, Dacheng Tao	2025	8
2	Layered sodium zirconium phosphate adsorbent for ammonia removal in cell culture media for cultivated meat application Separation and Purification Technology ·Ming–Hsuan Yang, Ning Xiang, Yunan Tang, Yue Li, Ximing Zhang	2025	3
3	Dynamic Erasing Network With Adaptive Temporal Modeling for Weakly Supervised Video Anomaly Detection IEEE Transactions on Neural Networks and Learning Systems ·Chen Zhang, Guorong Li, Yuankai Qi, Julia K. Goodrich, Laiyun Qing, Ming–Hsuan Yang, Qingming Huang	2025	1
4	Model poisoning attack in differential privacy-based federated learning Information Sciences ·Ming–Hsuan Yang, Hang Cheng, Fei Chen, Ximeng Liu, Meiqing Wang, Yan Li	2023	42
5	Two-stage fine-grained image classification model based on multi-granularity feature fusion Pattern Recognition ·Yang Xu, Shanshan Wu, Biqi Wang, Ming–Hsuan Yang, Zebin Wu, Yazhou Yao, Zhihui Wei	2023	20
6	SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming–Hsuan Yang, Fahad Shahbaz Khan Hit paper breakdown →	2023	108
7	MC-Blur: A Comprehensive Benchmark for Image Deblurring IEEE Transactions on Circuits and Systems for Video Technology ·Kaihao Zhang, Tao Wang, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming–Hsuan Yang	2023	35
8	Multi-Stage Progressive Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming–Hsuan Yang, Ling Shao Hit paper breakdown →	2021	1173
9	Fast Video Multi-Style Transfer Wei Gao, Yijun Li, Yihang Yin, Ming–Hsuan Yang	2020	33
10	CycleISP: Real Image Restoration via Improved Data Synthesis Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming–Hsuan Yang, Ling Shao	2020	211
11	Composing Good Shots by Exploiting Mutual Relations Debang Li, Junge Zhang, Kaiqi Huang, Ming–Hsuan Yang	2020	25
12	TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge IEEE Transactions on Pattern Analysis and Machine Intelligence ·Tatyana S. Karpova, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming–Hsuan Yang, Haibin Ling	2020	17
13	Re-Thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge Ming–Hsuan Yang, Shige Wang, J Lafferty, 一清永田, F. Donelson Smith, James H. Anderson, Jan‐Michael Frahm	2019	63
14	Depth-Aware Video Frame Interpolation Wenbo Bao, Wei‐Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming–Hsuan Yang Hit paper breakdown →	2019	325
15	Simultaneous Fidelity and Regularization Learning for Image Restoration IEEE Transactions on Pattern Analysis and Machine Intelligence ·Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming–Hsuan Yang	2019	64
16	Fast and Accurate Online Video Object Segmentation via Tracking Parts Jingchun Cheng, Yi‐Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming–Hsuan Yang	2018	148
17	Deep Semantic Face Deblurring Ziyi Shen, Wei‐Sheng Lai, Tingfa Xu, Jan Kautz, Ming–Hsuan Yang	2018	146
18	Learning Support Correlation Filters for Visual Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence ·Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming–Hsuan Yang	2018	88
19	Visual Tracking via Dynamic Graph Learning IEEE Transactions on Pattern Analysis and Machine Intelligence ·Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming–Hsuan Yang	2018	44
20	GPU Scheduling on the NVIDIA TX2: Hidden Details Revealed Tanya Amert, Nathan Otterness, Ming–Hsuan Yang, James H. Anderson, F. Donelson Smith	2017	127

About Ming–Hsuan Yang

Ming–Hsuan Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Signal Processing, having authored 552 papers that have together received 52.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (127 papers), Advanced Image Processing Techniques (101 papers), Advanced Image and Video Retrieval Techniques (97 papers), Advanced Vision and Imaging (96 papers), Image Enhancement Techniques (57 papers), Human Pose and Action Recognition (55 papers), Advanced Neural Network Applications (48 papers) and Image and Signal Denoising Methods (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (46.0k citations), Media Technology (8.5k citations), Safety, Risk, Reliability and Quality (3.4k citations), Sensory Systems (1.4k citations) and Aerospace Engineering (6.0k citations). Ming–Hsuan Yang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jongwoo Lim, Huchuan Lu, Yi Wu, Jia‐Bin Huang, Chao Ma, Jinshan Pan, Narendra Ahuja, Xiang Ruan, Fahad Shahbaz Khan and Serge Belongie. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, International Journal of Computer Vision, Computer Vision and Image Understanding and IEEE Transactions on Circuits and Systems for Video Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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