Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-9674-5220
Scopus Author ID: 57201857321
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Dive into the research topics where Tianyu YANG is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
Wu, Q., Yang, T., Liu, Z., Wu, B., Shan, Y. & Chan, A. B., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE, p. 14561-14571 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
152 Citations (Scopus) -
Scalable Video Object Segmentation with Simplified Framework
Wu, Q., Yang, T., Wu, W. & Chan, A. B., Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision (ICCV 2023). IEEE, p. 13833-13843Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access36 Citations (Scopus) -
Visual Tracking via Dynamic Memory Networks
Yang, T. & Chan, A. B., Jan 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 1, p. 360-374 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile59 Citations (Scopus)41 Downloads (CityUHK Scholars) -
ROAM: Recurrently Optimizing Tracking Model
Yang, T., Xu, P., Hu, R., Chai, H. & Chan, A. B., Jun 2020, Proceedings 2020 IEEE/CVF International Conference on Computer Vision and Pattern Recognition. IEEE, p. 6717-6726 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
138 Citations (Scopus) -
Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference
Yu, L., Yang, T. & Chan, A. B., Jun 2019, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 41, 6, p. 1323-1337Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile36 Citations (Scopus)89 Downloads (CityUHK Scholars)
Thesis
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Learning Model Updates for Visual Tracking
YANG, T. (Author), Chan, A. B. (Supervisor), 30 Jan 2020Student thesis: Doctoral Thesis