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I am currently a Ph.D. student from the School of Computer Science and Engineering at Sun Yat-sen University. I am grateful to join the HCP Lab and be advised by Prof. Liang Lin. Before that, I received my Bachelor’s Degree from Sun Yat-sen University in 2020. I’m broadly interested in visual understanding. The goal of my research is to build general-purpose agents that can abstract the environment from a human-oriented perspective and have versatile motor skills in challenging scenarios. Email | CV | GitHub | Google Scholar | LinkedIn |
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Please see this page for more recent works and arXiv papers. * denotes equal contribution, † denotes corresponding author. |
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Tao Pu*, Tianshui Chen* ✉, Hefeng Wu, Yongyi Lu, Liang Lin IEEE Transactions on Image Processing (TIP), 2024 Paper | Code | Cite TL;DR: A video scene graph generation approach that incorporates the prior spatial-temporal knowledge to learn better representations. |
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Tianshui Chen* ✉, Tao Pu*, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin International Journal of Computer Vision (IJCV), 2024 Paper | Code | Cite | 知乎 TL;DR: A weakly-supervised MLR approach that explores heterogeneous semantics inherently within multi-label images. |
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Tianshui Chen*, Tao Pu*, Hefeng Wu ✉, Yuan Xie, Lingbo Liu, Liang Lin IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Paper | Code | Cite | 知乎 TL;DR: One of the largest CD-FER evaluation benchmarks that unifies the source/target datasets and feature extractors for existing algorithms. |
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