UP Lab

members/xiatian.jpeg

Universal Perception (UP) Lab is led by Xiatian Zhu, a Senior Lecturer with Surrey Institute for People-Centred Artificial Intelligence, and Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, UK. He was a research scientist at Samsung AI Centre, Cambridge, UK. He received his Ph.D. from the Queen Mary University of London.

The mission of UP Lab is to advance the capabilities of AI through modeling a variety of perception data (e.g. images, videos, audio, text, 3D points). We are working around the understanding of both machine learning theories and real-world domain applications, with the aim to develop transformative technologies for the good of our society.

For research collaboration and studentship openings, please feel free to contact us.

News

Sep 22, 2023 1 NeurIPS paper accepted
Jul 17, 2023 4 ICCV papers and 3 workshop papers accepted
Apr 26, 2023 A survey on multimodal learning with Transformers accepted to IEEE TPAMI
Mar 10, 2023 3 CVPR papers accepted
Jan 7, 2023 Call for papers, First workshop on End-to-End Autonomous Driving: Perception, Prediction, Planning and Simulation, Vancouver, Canada, CVPR 2023

Selected publications

  1. NeurIPS
    HeadSculpt: Crafting 3D Head Avatars with Text
    Han, Xiao, Cao, Yukang, Han, Kai,  Zhu, Xiatian, Deng, Jiankang, Song, Yi-Zhe, Xiang, Tao, and Wong, Kwan-Yee K
    In Annual Conference on Neural Information Processing Systems 2023
  2. ICCV
    DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
    Nag, Sauradip,  Zhu, Xiatian, Deng, Jiankang, Song, Yi-Zhe, and Xiang, Tao
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  3. ICCV
    Homeomorphism Alignment for Unsupervised Domain Adaptation
    Zhou, Lihua, Ye, Mao,  Zhu, Xiatian, Xiao, Siying, Fan, Xu-Qian, and Neri, Ferrante
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  4. ICCV
    DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change
    Xu, Peng, and Zhu, Xiatian
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  5. CVPR
    Generative Semantic Segmentation
    Chen, Jiaqi, Lu, Jiachen,  Zhu, Xiatian, and Zhang, Li
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
  6. CVPR (Highlight)
    FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
    Han, Xiao,  Zhu, Xiatian, Yu, Licheng, Zhang, Li, Song, Yi-Zhe, and Xiang, Tao
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
  7. CVPR
    Post-Processing Temporal Action Detection
    Nag, Sauradip,  Zhu, Xiatian, Song, Yi-Zhe, and Xiang, Tao
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2023
  8. TPAMI
    Multimodal Learning with Transformers: A Survey
    Xu, Peng,  Zhu, Xiatian, and Clifton, David A
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2023
  9. IJCV
    Source-free Domain Adaptation via Target Prediction Distribution Searching
    Tang, Song, Chang, An, Fabian, Zhang,  Zhu, Xiatian, Ye, Mao, and Zhang, Changshui
    International Journal of Computer Vision 2023