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Xu Zheng

PhD. Student
VLIS LAB,
Hong Kong University of Science and Technology (HKUST)
zhengxu128@gmail.com


About Me

I’m a first year PhD student supervised by Prof. Lin Wang at VLISLab, HKUST (GZ), interested in various DL/CV topics from low-level to high-level vision. Prior to HKUST, I obtained my B.ENG and M.ENG in Information and Communication Engineering from Northeastern University (NEU), supervised by Prof. Chong Fu, where I focused on semi-supervised learning and medical image analysis.

I study machine perception, reasoning, and interaction with the physical world, drawing inspiration from human cognition. Lately, I’ve been focusing on unfied multi-modal Learning and advanced sensing & perception techniques.

News

Selected Publications

  1. CVPR 2024
    EventDance: Unsupervised Cross-modal Source-free Adaptation for Event-based Object Recognition
    Xu Zheng, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  2. CVPR 2024
    Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation
    Xu Zheng, Pengyuan Zhou, Athanasios Vasilakos, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  3. CVPR 2024
    UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
    Yuanhuiyi Lyu*, Xu Zheng*, Jiazhou Zhou, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  4. CVPR 2024 Hightlight
    ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
    Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Highlight (2.8%), 2024.
    Homepage PDF
  5. CVPR 2024
    GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
    Weiming Zhang, Ye xin Liu, Xu Zheng, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  6. arXiv
    EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
    Jiazhou Zhou*, Xu Zheng*,Yuanhuiyi Lyu, Lin Wang
    Arxiv (Under Review), 2024.
    Homepage PDF
  7. arXiv
    Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
    Yuanhuiyi Lyu, Xu Zheng, Lin Wang
    arXiv (arXiv), 2024.
    Homepage PDF
  8. arXiv
    Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation
    Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang
    arXiv (arXiv), 2024.
    Homepage PDF
  9. ICRA 2024
    Transformer-cnn cohort: Semi-supervised semantic segmentation by the best of both students
    Xu Zheng, Yunhao Luo, Hao Wang, Chong Fu, Lin Wang
    The 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024.
    Homepage PDF
  10. ICRA 2024
    Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
    Jiahang Cao, Xu Zheng*, Yuanhuiyi Lyu*, Jiaxu Wang, Renjing Xu, Lin Wang
    The 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024.
    Homepage PDF
  11. CVPR 2023
    Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
    Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Homepage PDF
  12. CVPR 2023
    A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation
    Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Homepage PDF
  13. CVPR 2023
    Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
    Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    Homepage PDF
  14. Arxiv 2023
    Deep learning for event-based vision: A comprehensive survey and benchmarks
    Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang
    T-PAMI (Under Review), 2024.
    Homepage PDF
  15. CIBM 2023
    Adversarial co-training for semantic segmentation over medical images
    Haoyu Xie, Chong Fu, Xu Zheng, Yu Zheng, Chiu-Wing Sham, Xingwei Wang
    Computers in Biology and Medicine.
    Homepage PDF
  16. CIBM 2022
    Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation
    Jialei Chen, Chong Fu, Haoyu Xie, Xu Zheng*, Rong Geng, Chiu-Wing Sham
    Computers in Biology and Medicine.
    Homepage PDF
  17. CIBM 2022
    Uncertainty-aware deep co-training for semi-supervised medical image segmentation
    Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham
    Computers in Biology and Medicine.
    Homepage PDF

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