UP Lab

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.

News

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
Jan 6, 2023	Welcome Haosen Yang on board
Nov 19, 2022	1 AAAI paper accepted
Oct 3, 2022	Welcome Al-Hussein Abutaleb on board

Selected publications

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

Bib PDF Code

@inproceedings{chen2023gss,
  title = {Generative Semantic Segmentation},
  author = {Chen, Jiaqi and Lu, Jiachen and Zhu, Xiatian and Zhang, Li},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year = {2023},
}

CVPR

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

Bib PDF Code

@inproceedings{han2023fame,
  title = {FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks},
  author = {Han, Xiao and Zhu, Xiatian and Yu, Licheng and Zhang, Li and Song, Yi-Zhe and Xiang, Tao},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year = {2023},
}

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

Bib PDF Code

@inproceedings{nag2022post,
  author = {Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao},
  title = {Post-Processing Temporal Action Detection},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year = {2023},
}

Preprint

Preconditioned Score-based Generative Models

Zhang, Li, Ma, Hengyuan, Zhu, Xiatian, and Feng, Jianfeng

arXiv preprint arXiv:2302.06504 2023

Bib PDF Code

@article{zhang2023preconditioned,
  author = {Zhang, Li and Ma, Hengyuan and Zhu, Xiatian and Feng, Jianfeng},
  journal = {arXiv preprint arXiv:2302.06504},
  title = {Preconditioned Score-based Generative Models},
  year = {2023},
}

Preprint

Unsupervised Hashing via Similarity Distribution Calibration

Ng, Kam Woh, Zhu, Xiatian, Hoe, Jiun Tian, Chan, Chee Seng, Zhang, Tianyu, Song, Yi-Zhe, and Xiang, Tao

arXiv preprint arXiv:2302.07669 2023

Bib PDF

@article{ng2023unsupervised,
  author = {Ng, Kam Woh and Zhu, Xiatian and Hoe, Jiun Tian and Chan, Chee Seng and Zhang, Tianyu and Song, Yi-Zhe and Xiang, Tao},
  journal = {arXiv preprint arXiv:2302.07669},
  title = {Unsupervised Hashing via Similarity Distribution Calibration},
  year = {2023},
}

AAAI

PolarFormer: Multi-camera 3D Object Detection with Polar Transformers

Jiang, Yanqin, Zhang, Li, Miao, Zhenwei, Zhu, Xiatian, Gao, Jin, Hu, Weiming, and Jiang, Yu-Gang

In AAAI Conference on Artificial Intelligence 2023

Bib PDF

@inproceedings{jiang2022polarformer,
  title = {PolarFormer: Multi-camera 3D Object Detection with Polar Transformers},
  author = {Jiang, Yanqin and Zhang, Li and Miao, Zhenwei and Zhu, Xiatian and Gao, Jin and Hu, Weiming and Jiang, Yu-Gang},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year = {2023},
}