Xuming He
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Associate Professor
PLUS Lab
School of Information Science and Technology (SIST)
ShanghaiTech University
Address
Room 1A-221, SIST Building
393 Middle Huaxia Road
Pudong, Shanghai, 201210, China
Contact
Phone: +86 21 20685378
Email: hexm at shanghaitech dot edu dot cn or xmhe dot pluslab at google mail
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Prospective students
We are looking for prospective graduate students for 2025. You must contact me via email if you are interested in joining in my lab. 学科方向: 计算机科学与技术.
We also have multiple research projects (minimal 6 months) for undergrad students in SIST.
We are looking for a long-term research assistant (科研助理). Contact us via email if interested.
News
[12/2024] One paper on open-vocabulary scene graph generation accepted in AAAI 2025.
[11/2024] One paper on object grasping accepted in 3DV 2025.
[09/2024] One paper on OOD semantic segmentation accepted in NeurIPS 2024.
[07/2024] One paper on novel class discovery accepted in ECCV 2024.
Research Interest
Open-world scene understanding
Multi-modal learning and reasoning
Continual learning and knowledge discovery
Explainable artificial intelligence
Selected Recent Publications
Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He. Grounded Image Text Matching with Mismatched Relation Reasoning,
International Conference on Computer Vision (ICCV), 2023
Shan Ning*, Longtian Qiu*, Yongfei Liu, Xuming He. HOICLIP: Efficient Knowledge Transfer for HOI Detection with Visual Linguistic Model,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He. Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts,
International Conference on Learning Representation (ICLR), 2023
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He. Generative Negative Text Replay for Continual Vision-Language Pretraining, European Conference of Computer Vision (ECCV), 2022
Jiangwei Xie, Shipeng Yan, Xuming He. General Incremental Learning with Domain-aware Categorical Representations,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Rongjie Li, Songyang Zhang, Xuming He. SGTR: End-to-end Scene Graph Generation with Transformer,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Shipeng Yan, Jiangwei Xie, Xuming He. DER: Dynamically Expandable Representation for Class Incremental Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He. Part-aware prototype Network for Few-shot Semantic Segmentation,
European Conference of Computer Vision (ECCV), 2020
Haozhe Wang, Jiale Zhou, Xuming He. Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning,
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
Bo Wan*, Desen Zhou*, Yongfei Liu, Rongjie Li, Xuming He. Pose-aware Multi-level Feature Network for Human Object Interaction Detection,
International Conference on Computer Vision (ICCV), 2019
Songyang Zhang, Shipeng Yan, Xuming He. LatentGNN: Learning Efficient Non-local Relations for Visual Recognition, International Conference on Machine Learning (ICML),2019
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