UP Lab

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Xiatian Zhu, a Senior Lecturer affiliated with the Surrey Institute for People-Centred Artificial Intelligence and the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey in Guildford, UK, leads the Universal Perception (UP) Lab. Previously a research scientist at Samsung AI Centre, Cambridge, UK, He holds a Ph.D. from the Queen Mary University of London. He serves as an Associate Editor of the IEEE Transactions on Multimedia (TMM), Neuralcomputing, and Frontiers in Computer Science, Computer Vision. He also serves/served as an Area Chair of top conferences such as ICCV and NeurIPS.

The UP Lab is dedicated to advancing Multimodal Generative AI (GenAI) by modelling diverse data and observations, such as images, videos, audio, text, 3D points, LiDAR, radar, and remote sensing etc. Our applications span a wide range of domains, such as creative media, fashion design, healthcare, climate science, finance, cybersecurity, chemical engineering, sports, gaming, and social issues. Guided by our principle of putting people at the heart of AI, we prioritize the ethical integration of AI capacities with real-world application norms, emphasizing sustainable and responsible AI practices. This ensures our AI initiatives are grounded in community needs and values, aiming to develop transformative technologies that positively impact society and enhance the well-being of individuals and communities.

Email: xiatian.zhu at surrey.ac.uk

News

May 2, 2025 2 ICML papers accepted
Apr 9, 2025 Serving as Area Chair for The Thirty-Ninth Annual Conference on Neural Information Processing Systems, NeurIPS 2025
Mar 1, 2025 Welcome Ms. Yinuo Jing joining us as a visiting student
Feb 28, 2025 Delivered a keynote speech on Autonomous Driving at the 1st Human-Autonomous Vehicle Interaction Workshop, WACV 2025.
Feb 26, 2025 5 CVPR papers (1 highlight) accepted
Feb 25, 2025 Serving as Associate Editor for IEEE Transactions on Multimedia
Feb 10, 2025 Welcome Mr. Yupeng Fang joining us as a visiting student
Feb 3, 2025 Delivered a seminar speech on Multi-modal Generative AI at King's College London.
Jan 27, 2025 Serving as Associate Editor for Neurocomputing
Jan 23, 2025 3 ICLR papers accepted (1 oral with 1.8% acceptance rate, 2 poster)
Jan 15, 2025 Serving as Area Chair for IEEE International Conference on Computer Vision, ICCV 2025
Dec 20, 2024 2 ICASSP papers accepted
Dec 10, 2024 3 AAAI papers accepted
Nov 30, 2024 Area chair, and co-organising a Special Session at ICME 2025: Towards Realistic 3D Deep Learning with Limited Supervision.
Oct 30, 2024 Serving as Associate Editor for Frontiers in Computer Scicence, Computer Vision

Selected publications

  1. ICML
    High Dynamic Range Novel View Synthesis with Single Exposure
    Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, and Xiatian Zhu
    In International Conference on Machine Learning 2025
  2. ICML
    CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
    Zhe Zhang, Mingxiu Cai, Hanxiao Wang, Gaochang Wu, Tianyou Chai, and Xiatian Zhu
    In International Conference on Machine Learning 2025
  3. CVPR (highlight)
    Improving Gaussian Splatting with Localized Points Management
    Haosen Yang, Chenhao Zhang, Wenqing Wang, Marco Volino, Adrian Hilton, Li Zhang, and Xiatian Zhu
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
  4. CVPR
    TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
    Chun Gu, Xiaofei Wei, Li Zhang, and Xiatian Zhu
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
  5. CVPR
    Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
    Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, and Xiatian Zhu
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
  6. CVPR
    FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
    Haosen Yang, Adrian Bulat, Isma Hadji, Hai X. Pham,  Xiatian Zhu, Georgios Tzimiropoulos, and Brais Martinez
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
  7. CVPR
    Bayesian Test-Time Adaptation for Vision-Language Models
    Lihua Zhou, Mao Ye, Shuaifeng Li, Nianxin Li,  Xiatian Zhu, Lei Deng, Hongbin Liu, and Zhen Lei
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2025
  8. ICLR (Oral, 1.8%)
    Proxy Denoising for Source-Free Domain Adaptation
    Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, and Xiatian Zhu
    In International Conference on Learning Representations 2025
  9. ICLR
    Reflective Gaussian Splatting
    Yuxuan Yao, Zixuan Zeng, Chun Gu,  Xiatian Zhu, and Li Zhang
    In International Conference on Learning Representations 2025
  10. ICLR
    SEBRA : Debiasing through Self-Guided Bias Ranking
    Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li,  Xiatian Zhu, and Lu Yin
    In International Conference on Learning Representations 2025
  11. TPAMI
    DeepInteraction++: Multi-Modality Interaction for Autonomous Driving
    Zeyu Yang, Nan Song, Wei Li,  Xiatian Zhu, Li Zhang, and Philip H. S. Torr
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2025
  12. TPAMI
    Unified Domain Adaptive Semantic Segmentation
    Zhe Zhang, Gaochang Wu, Jing Zhang,  Xiatian Zhu, Dacheng Tao, and Tianyou Chai
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2025
  13. IJCV
    Preconditioned Score-based Generative Models
    Hengyuan Ma, Li Zhang,  Xiatian Zhu, and Jianfeng Feng
    International Journal of Computer Vision 2025