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Ming-Hsuan Yang

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Ming-Hsuan Yang
OccupationsComputer scientist, academic, and author
Academic background
EducationNational Tsing-Hua University (BS)
University of Southern California (MS)
University of Texas at Austin (MS)
University of Illinois at Urbana-Champaign (PhD)
Narendra Ahuja
Dan Roth
Academic work
InstitutionsUniversity of California, Merced
Google DeepMind
Nvidia
Honda Research Institute

Ming-Hsuan Yang is a computer scientist, academic, and author. He is a professor at the University of California, Merced,[1] and a research scientist at Google DeepMind.[2]

Yang's work is focused on computer vision, machine learning, artificial intelligence, and robotics.[1]

He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE),[3] Association for Computing Machinery (ACM),[4] Association for the Advancement of Artificial Intelligence (AAAI),[5] and American Association for the Advancement of Science (AAAS).[6]

Education and career

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Yang received his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign.[7]

Yang worked as a senior research scientist at the Honda Research Institute in Mountain View, California.[7] He joined UC Merced in 2008. Since 2018, he has been a research scientist at Google DeepMind.[2][8] He previously chaired the IEEE International Conference on Computer Vision (ICCV)[9] and the Asian Conference on Computer Vision (ACCV).[10]

Research

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Much of Yang's research has explored intelligent systems such as AI, machine learning, computer vision, and robotics. In a paper published in 2013, Yang assessed online object tracking algorithms through large-scale experiments, identifying methods, benchmarking performance, and highlighting key factors influencing tracking accuracy across different scenarios.[11] He also presented a graph-based manifold ranking approach for saliency detection, integrating foreground and background cues, and benchmark dataset evaluation.[12]

Yang has been named a highly cited researcher from 2018 to 2025.[13]

Awards and honors

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  • 1999 – Ray Ozzie Fellowship, The Grainger College of Engineering[14]
  • 2009 – Google Faculty Award, Google[2]
  • 2010 – Distinguished Early Career Research Award, UC Merced[15]
  • 2012 – Faculty Early Career Development (CAREER) Award, NSF[16]
  • 2014 – Distinguished Research Award, UC Merced[15]
  • 2017 – Best Paper Honorable Mention, ACM Symposium on User Interface Software and Technology (UIST)[17]
  • 2017 – Nvidia Pioneer Research Award
  • 2018 – Best Paper Honorable Mention, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)[18][19]
  • 2018 – Nvidia Pioneer Research Award
  • 2018 – Best Student Paper Honorable Mention, Asian Conference on Computer Vision (ACCV)
  • 2019 – Fellow, IEEE[3]
  • 2021 – Fellow, ACM[4]
  • 2023 – Longuet-Higgins Prize, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)[20]
  • 2024 – Best Paper Award, International Conference on Machine Learning (ICML)[21]
  • 2025 – Fellow, AAAI[5]
  • 2025 – Test-of-Time Award, IEEE Winter Conference on Applications of Computer Vision (WACV)[22]
  • 2026 – Fellow, AAAS[6]

Bibliography

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Books

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  • Yang, Ming-Hsuan; Ahuja, Narendra (2012). Face Detection and Gesture Recognition for Human-Computer Interaction. Kluwer Academic Publishers. ISBN 9781461514237.

Selected articles

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  • Yang, M.-H.; Kriegman, D. J.; Ahuja, N. (2002). "Detecting faces in images: A survey". IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (1): 34–58. doi:10.1109/34.982883.
  • Ross, D. A.; Lim, J.; Lin, R. S.; Yang, M.-H. (2008). "Incremental learning for robust visual tracking". International Journal of Computer Vision. 77 (1–3): 125–141. doi:10.1007/s11263-007-0075-7.
  • Wu, Y.; Lim, J.; Yang, M.-H. (2013). "Online object tracking: A benchmark". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2411–2418. doi:10.1109/CVPR.2013.312.
  • Lai, W. S.; Huang, J. B.; Ahuja, N.; Yang, M.-H. (2017). "Deep Laplacian pyramid networks for fast and accurate super-resolution". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 624–632. doi:10.1109/CVPR.2017.618.
  • Gao, S. H.; Cheng, M. M.; Zhao, K.; Zhang, X. Y.; Yang, M.-H.; Torr, P. (2019). "Res2Net: A new multi-scale backbone architecture". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 652–662. arXiv:1904.01169. doi:10.1109/TPAMI.2019.2938758. PMID 31484108.

References

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  1. 1 2 "Electrical Engineering and Computer Science". University of California, Merced. Retrieved May 8, 2025.
  2. 1 2 3 "Ming-Hsuan Yang | Google Research". Google Research. Retrieved May 8, 2025.
  3. 1 2 "Introducing the 2019 Class of IEEE Fellows". Institute of Electrical and Electronics Engineers. Retrieved April 24, 2025.
  4. 1 2 "ACM Names 71 Fellows for Computing Advances that are Driving Innovation". Association for Computing Machinery. Retrieved April 24, 2025.
  5. 1 2 "Elected AAAI Fellows". Association for the Advancement of Artificial Intelligence. Retrieved April 24, 2025.
  6. 1 2 "Elected AAAS Fellows". American Association for the Advancement of Science. Retrieved March 26, 2026.
  7. 1 2 "Ming-Hsuan Yang – IEEE Xplore". Institute of Electrical and Electronics Engineers. Retrieved April 24, 2025.
  8. ↑ "Largest Computing Organization Elevates Computer Vision Researcher". University of California, Merced. Retrieved May 19, 2025.
  9. ↑ "OVERVIEW – IEEE International Conference on Computer Vision (ICCV)". International Conference on Computer Vision. Retrieved April 24, 2025.
  10. ↑ "Welcome – Asian Conference on Computer Vision (ACCV)". CNRS. Retrieved April 24, 2025.
  11. ↑ "Paper on Online Object Tracking Earns Award 10 Years Later". University of California, Merced. Retrieved May 21, 2025.
  12. ↑ Wang, Xiuwenxin; Yu, Siyue; Lim, Eng Gee; Wong, M. L. Dennis (10 May 2024). "Salient object detection: a mini review". Frontiers in Signal Processing. 4. Bibcode:2024FrSP....456793W. doi:10.3389/frsip.2024.1356793. ISSN 2673-8198.
  13. ↑ "Researcher Among the World's Most Highly Cited for the Fourth Straight Year". University of California, Merced. Retrieved April 24, 2025.
  14. ↑ "Ray Ozzie Computer Science Fellowship". University of Illinois. Retrieved April 24, 2025.
  15. 1 2 "Academic Senate | UC Merced". University of California, Merced. Retrieved May 8, 2025.
  16. ↑ "Teaching a computer to perceive the world without human input". National Science Foundation. 20 September 2013. Retrieved May 19, 2025.
  17. ↑ "UIST 2017: 30th ACM User Interface Software and Technology Symposium". 22 October 2017.
  18. ↑ "Computer Vision Awards – the Computer Vision Foundation".
  19. ↑ "CVPR Best Paper Honorable Mention Award". The Computer Vision Foundation. Retrieved May 22, 2025.
  20. ↑ "Paper on Online Object Tracking Earns Award 10 Years Later". University of California, Merced. Retrieved April 24, 2025.
  21. ↑ "VideoPoet: A Large Language Model for Zero-Shot Video Generation". International Conference on Machine Learning. Retrieved May 8, 2025.
  22. ↑ "PROGRAM | IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)". The Computer Vision Foundation. Retrieved May 8, 2025.
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