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Dive into the research topics where Guoliang Kang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Additional encoder is not what you need: Unleashing the potential of CLIP for weakly-supervised semantic segmentation
Lv, Y., Kang, G. & Wei, W., 15 Apr 2026, In: Expert Systems with Applications. 306, 130932.Research output: Contribution to journal › Article › peer-review
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LTCA: Long-Range Temporal Context Attention for Referring Video Object Segmentation
Yan, C., Wang, J. & Kang, G., 2026, In: IEEE Transactions on Circuits and Systems for Video Technology. 36, 3, p. 2968-2979 12 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Attention-aligned mean-teacher learning for unsupervised domain adaptive person re-ID
Lv, Y., Zhang, Z., Kang, G. & Wei, W., Aug 2025, In: Science China Technological Sciences. 68, 8, 1880401.Research output: Contribution to journal › Letter › peer-review
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Attention head purification: A new perspective to harness CLIP for domain generalization
Wang, Y. & Kang, G., May 2025, In: Image and Vision Computing. 157, 105511.Research output: Contribution to journal › Article › peer-review
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Cross-Domain Attention Alignment for Domain Adaptive Person re-ID
Zhang, Z., Wang, W. & Kang, G., 2025, Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Proceedings. Lin, Z., Zha, H., Cheng, M.-M., He, R., Liu, C.-L., Ubul, K., Silamu, W. & Zhou, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 114-127 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15042 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations