Xuming He
News
[01/2023] Two papers accepted in ICLR 2023.
[01/2023] Congratulations to Tailin Chen for receiving Best Student Paper Award at FG 2023.
[12/2022] Congratulations to Yongfei Liu for successfully completing his Phd Degree.
[11/2022] Congratulations to Shipeng Yan for successfully completing his Phd Degree.
[07/2022] Two papers accepted in ECCV 2022.
Research Interest
Weakly-supervised/Few-shot learning
Continual learning/Knowledge discovery
Semantic segmentation and Scene parsing
Vision and language representations
Interpretable machine learning and reasoning
Prospective students
Selected Publications
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
Jialei Zhou, Songyang Zhang, Xuming He. Learning Implicit Temporal Alignment for Few-shot Video Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2021
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, Bo Wan, Lin Ma, Xuming He. Relation-aware Instance Refinement for Weakly Supervised Visual Grounding,
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
Alexander Mathews, Lexing Xie, Xuming He.
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Zeeshan Hayder, Xuming He, Mathieu Salzmann.
Boundary-aware Instance Segmentation,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Buyu Liu, Xuming He.
Multiclass Semantic Video Segmentation With Object-Level Active Inference,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Xuming He, and Richard S. Zemel.
Learning Hybrid Models for Image Annotation with Partially Labeled Data,
Annual Conference on Neural Information Processing Systems (NIPS), 2008
Xuming He, Richard Zemel, and Miguel Carreira-Perpinan.
Multiscale Conditional Random Fields for Image Labelling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004
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