Research output per year
Research output per year
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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.
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Research output
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A Part-Aware Multi-Scale Fully Convolutional Network for Pedestrian Detection
Yang, P., Zhang, G., Wang, L., Xu, L., Deng, Q. & Yang, M. H., 2021 Feb, In: IEEE Transactions on Intelligent Transportation Systems. 22, 2, p. 1125-1137 13 p., 8960286.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks
Ren, W., Zhang, J., Pan, J., Liu, S., Ren, J., Du, J., Cao, X. & Yang, M. H., 2021, (Accepted/In press) In: IEEE transactions on pattern analysis and machine intelligence.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Editorial for CVIU_DL for image restoration
Pan, J., Sun, D., Yang, J., Zuo, W., Favaro, P., Matsushita, Y. & Yang, M. H., 2021 Jul, In: Computer Vision and Image Understanding. 208-209, 103222.Research output: Contribution to journal › Editorial › peer-review
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Learning recurrent memory activation networks for visual tracking
Pu, S., Song, Y., Ma, C., Zhang, H. & Yang, M. H., 2021, In: IEEE Transactions on Image Processing. 30, p. 725-738 14 p., 9269487.Research output: Contribution to journal › Article › peer-review
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Learning to localize sound sources in visual scenes: Analysis and applications
Senocak, A., Oh, T. H., Kim, J., Yang, M. H. & Kweon, I. S., 2021 May 1, In: IEEE transactions on pattern analysis and machine intelligence. 43, 5, p. 1605-1619 15 p., 8894565.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
Press / Media
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A rocker with rich representation and a relocation component.
19/10/1
1 item of Media coverage
Press/Media: Press / Media
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Multi-feature local sparse representation for infrared pedestrian tracking.(Report)
19/3/1
1 item of Media coverage
Press/Media: Press / Media
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Object tracking based on relaxed inverse sparse representation
15/9/1
1 item of Media coverage
Press/Media: Press / Media