UP Lab

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, Dr. Zhu holds a Ph.D. from the Queen Mary University of London.

The UP Lab is dedicated to advancing AI capabilities by modelling diverse perception data, such as images, videos, audio, text, 3D points, LiDAR, and remote sensing. Application domains span computer vision, healthcare, weather and climate, finance, cybersecurity, and social issues. Our work emphasizes the intersection of machine learning theories and real-world domain applications, aiming to develop transformative technologies for societal benefit.

For inquiries about research collaboration and student opportunities, please contact us.

News

Mar 11, 2024	Welcome Tian Zhang visiting the UP lab
Mar 8, 2024	1 CVPR paper accepted
Jan 16, 2024	1 ICLR paper on high-resolution 3D object generation accepted
Dec 20, 2023	A paper on high dynamic range (HDR) video reconstruction accepted to IEEE TPAMI
Dec 11, 2023	1 AAAI paper on diffusion generation for sound event detection accepted for oral presentation

Selected publications

ICLR

Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping

Pan, Zijie, Lu, Jiachen, Zhu, Xiatian, and Zhang, Li

In International Conference on Learning Representations 2024

Bib PDF Website

@inproceedings{pan2024enhancing,
  title = {Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping},
  author = {Pan, Zijie and Lu, Jiachen and Zhu, Xiatian and Zhang, Li},
  booktitle = {International Conference on Learning Representations},
  year = {2024},
}

CVPR

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

Tang, Song, Su, Wenxin, Ye, Mao, and Zhu, Xiatian

In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2024

Bib PDF

@inproceedings{tang2024sourcefree,
  title = {Source-Free Domain Adaptation with Frozen Multimodal Foundation Model},
  author = {Tang, Song and Su, Wenxin and Ye, Mao and Zhu, Xiatian},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year = {2024},
}

AAAI (oral)

DiffSED: Sound Event Detection with Denoising Diffusion

Bhosale, Swapnil, Nag, Sauradip, Kanojia, Diptesh, Deng, Jiankang, and Zhu, Xiatian

In AAAI Conference on Artificial Intelligence 2024

Bib PDF

@inproceedings{bhosale2024diffsed,
  title = {DiffSED: Sound Event Detection with Denoising Diffusion},
  author = {Bhosale, Swapnil and Nag, Sauradip and Kanojia, Diptesh and Deng, Jiankang and Zhu, Xiatian},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year = {2024},
}

TPAMI

Compressed-SDR to HDR Video Reconstruction

Wang, Hu, Ye, Mao, Zhu, Xiatian, Li, Shuai, Li, Xue, and Zhu, Ce

IEEE Transactions on Pattern Analysis and Machine Intelligence 2024

Bib PDF

@article{wang2024HDR,
  author = {Wang, Hu and Ye, Mao and Zhu, Xiatian and Li, Shuai and Li, Xue and Zhu, Ce},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title = {Compressed-SDR to HDR Video Reconstruction},
  year = {2024},
}