个人简介
教育经历
2015-2020，清华大学，工学博士
2011-2015，清华大学，工学学士
2013-2015，清华大学，经济学（双）学士学位
工作经历
2022-至今，清华大学深圳国际研究生院，助理教授/特别研究员
2020-2022，英国牛津大学，博士后
2020，微软亚洲研究院，研究助理
2016，美国加州大学洛杉矶分校，访问学者
Selected Honors and Awards
Startrack Program by MSRA, 2023
Young Elite Scientist Sponsorship Program by CAST, 2022
Excellent Doctoral Dissertation Award of CAAI, 2021
Excellent PhD Graduate of Beijing, 2020
Excellent Doctoral Dissertation of Tsinghua University, 2020
Zijing Scholar Fellowship for Prospective Researcher, Tsinghua University, 2020
近期论文
查看导师新发文章
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Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer Guangyi Chen*, Xiao Liu*, Guangrun Wang, Kun Zhang, Philip H.S. Torr, Xiao-Ping Zhang, Yansong Tang# IEEE International Conference on Computer Vision (ICCV), 2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang#, Jiwen Lu, Jie Zhou IEEE International Conference on Computer Vision (ICCV), 2023
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction Yansong Tang*, Jinpeng Liu*, Aoyang Liu*, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, Yansong Tang# IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions Yongming Rao*, Wenliang Zhao*, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu Conference on Neural Information Processing Systems (NeurIPS), 2022
OrdinalCLIP: Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li*, Xiaoke Huang*, Zheng Zhu, Yansong Tang, Xiu Li, Jiwen Lu, Jie Zhou Conference on Neural Information Processing Systems (NeurIPS), 2022
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang*, Jiaqi Wang*, Yansong Tang#, Kai Chen, Hengshuang Zhao, Philip H.S. Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion Kejie Li, Yansong Tang, Victor Adrian Prisacariu, Philip H.S. Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation Yansong Tang, Jiwen Lu, and Jie Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Uncertainty-aware Score Distribution Learning for Action Quality Assessment Yansong Tang*, Zanlin Ni*, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, and Jie Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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