• 34310 Citations
  • 73 h-Index
19972019
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Fingerprint Dive into the research topics where Ming-Hsuan Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 13 Similar Profiles
Computer vision Engineering & Materials Science
Face recognition Engineering & Materials Science
Convolution Engineering & Materials Science
Computer Vision Mathematics
Neural networks Engineering & Materials Science
Pattern recognition Engineering & Materials Science
Image processing Engineering & Materials Science
Object recognition Engineering & Materials Science

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Research Output 1997 2019

Adversarial learning for semi-supervised semantic segmentation

Hung, W. C., Tsai, Y. H., Liou, Y. T., Lin, Y. Y. & Yang, M. H., 2019 Jan 1.

Research output: Contribution to conferencePaper

Discriminators
Semantics
Supervised learning
Volatile organic compounds
Entropy
1 Citation (Scopus)

A fusion approach for multi-frame optical flow estimation

Ren, Z., Gallo, O., Sun, D., Yang, M. H., Sudderth, E. B. & Kautz, J., 2019 Mar 4, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 2077-2086 10 p. 8658399. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical flows
Fusion reactions
Electric fuses
Flow fields

A simple and effective fusion approach for multi-frame optical flow estimation

Ren, Z., Gallo, O., Sun, D., Yang, M. H., Sudderth, E. B. & Kautz, J., 2019 Jan 1, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 706-710 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11134 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical flows
Optical Flow
Fusion
Fusion reactions
Electric fuses
3 Citations (Scopus)

Blind Image Deblurring via Deep Discriminative Priors

Li, L., Pan, J., Lai, W. S., Gao, C., Sang, N. & Yang, M. H., 2019 Aug 1, In : International Journal of Computer Vision. 127, 8, p. 1025-1043 19 p.

Research output: Contribution to journalArticle

Neural networks
Classifiers
Lighting

Deep Semantic Matching with Foreground Detection and Cycle-Consistency

Chen, Y. C., Huang, P. H., Yu, L. Y., Huang, J. B., Yang, M. H. & Lin, Y. Y., 2019 Jan 1, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Schindler, K., Li, H. & Mori, G. (eds.). Springer Verlag, p. 347-362 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11363 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Correspondence
Semantics
Clutter
Cycle
Image matching

Press / Media