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Ming-Hsuan Yang

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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]

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

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] and the Association for the Advancement of Artificial Intelligence (AAAI).[5]

Education and career

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Yang received his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign.[6]

Yang worked as a senior research scientist at the Honda Research Institute in Mountain View, California.[6] He joined UC Merced in 2008. Since 2018, he has been a research scientist at Google DeepMind.[2][7] He previously chaired the IEEE International Conference on Computer Vision (ICCV)[8] and the Asian Conference on Computer Vision (ACCV).[9]

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.[10] He also presented a graph-based manifold ranking approach for saliency detection, integrating foreground and background cues, and benchmark dataset evaluation.[11]

Yang has been named a highly cited researcher from 2018 to 2024.[12]

Awards and honors

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  • 1999 – Ray Ozzie Fellowship, The Grainger College of Engineering[13]
  • 2009 – Google Faculty Award, Google[2]
  • 2010 – Distinguished Early Career Research Award, UC Merced[14]
  • 2012 – Faculty Early Career Development (CAREER) Award, NSF[15]
  • 2014 – Distinguished Research Award, UC Merced[14]
  • 2017 – Best Paper Honorable Mention, ACM Symposium on User Interface Software and Technology (UIST)[16]
  • 2017 – Nvidia Pioneer Research Award
  • 2018 – Best Paper Honorable Mention, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)[17][18]
  • 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)[19]
  • 2024 – Best Paper Award, International Conference on Machine Learning (ICML)[20]
  • 2025 – Fellow, AAAI[5]
  • 2025 – Test-of-Time Award, IEEE Winter Conference on Applications of Computer Vision (WACV)[21]

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. ^ a b "Electrical Engineering and Computer Science". University of California, Merced. Retrieved May 8, 2025.
  2. ^ a b c "Ming-Hsuan Yang | Google Research". Google Research. Retrieved May 8, 2025.
  3. ^ a b "Introducing the 2019 Class of IEEE Fellows". Institute of Electrical and Electronics Engineers. Retrieved April 24, 2025.
  4. ^ a b "ACM Names 71 Fellows for Computing Advances that are Driving Innovation". Association for Computing Machinery. Retrieved April 24, 2025.
  5. ^ a b "Elected AAAI Fellows". Association for the Advancement of Artificial Intelligence. Retrieved April 24, 2025.
  6. ^ a b "Ming-Hsuan Yang – IEEE Xplore". Institute of Electrical and Electronics Engineers. Retrieved April 24, 2025.
  7. ^ "Largest Computing Organization Elevates Computer Vision Researcher". University of California, Merced. Retrieved May 19, 2025.
  8. ^ "OVERVIEW – IEEE International Conference on Computer Vision (ICCV)". International Conference on Computer Vision. Retrieved April 24, 2025.
  9. ^ "Welcome – Asian Conference on Computer Vision (ACCV)". CNRS. Retrieved April 24, 2025.
  10. ^ "Paper on Online Object Tracking Earns Award 10 Years Later". University of California, Merced. Retrieved May 21, 2025.
  11. ^ 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.
  12. ^ "Researcher Among the World's Most Highly Cited for the Fourth Straight Year". University of California, Merced. Retrieved April 24, 2025.
  13. ^ "Ray Ozzie Computer Science Fellowship". University of Illinois. Retrieved April 24, 2025.
  14. ^ a b "Academic Senate | UC Merced". University of California, Merced. Retrieved May 8, 2025.
  15. ^ "Teaching a computer to perceive the world without human input". National Science Foundation. 20 September 2013. Retrieved May 19, 2025.
  16. ^ "UIST 2017: 30th ACM User Interface Software and Technology Symposium". 22 October 2017.
  17. ^ "Computer Vision Awards – the Computer Vision Foundation".
  18. ^ "CVPR Best Paper Honorable Mention Award". The Computer Vision Foundation. Retrieved May 22, 2025.
  19. ^ "Paper on Online Object Tracking Earns Award 10 Years Later". University of California, Merced. Retrieved April 24, 2025.
  20. ^ "VideoPoet: A Large Language Model for Zero-Shot Video Generation". International Conference on Machine Learning. Retrieved May 8, 2025.
  21. ^ "PROGRAM | IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)". The Computer Vision Foundation. Retrieved May 8, 2025.
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