Xian Liu

Ph.D. Candidate
Department of Information Engineering
The Chinese University of Hong Kong

E-mail  /  CV  /  Google Scholar  /  Github

Biography

Xian Liu is a third-year Ph.D. candidate at Multimedia Laboratory (MMLab), Department of Information Engineering in The Chinese University of Hong Kong. He is supervised by Prof. Dahua Lin and Prof. Ziwei Liu. He also worked closely with Prof. Xihui Liu. His research interests include computer vision and generative modeling, especially its applications in human generation, modeling, animation, video, and foundation models.

Before that, he received the Bachelor's degree at Zhejiang University in 2021, advised by Prof. Xiaowei Zhou.

I am always open to discussions and collaborations, feel free to drop me an email if you are interested in :)

News

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  • [07/2023] One paper is accepted to ICCV 2023. Congrats to all the collaborators!
  • [05/2023] Start my internship at Snap Research. See you in Los Angeles!
  • [03/2023] Two papers are accepted to CVPR 2023. Congrats to all the collaborators!
  • [03/2023] One paper is accepted to TMLR 2023.
  • [09/2022] One paper is accepted to NeurIPS 2022, with ANGIE accepted as Spotlight presentation!
  • [07/2022] Three papers are accepted to ECCV 2022, with SSP-NeRF accepted as Oral presentation!
  • [03/2022] One paper is accepted to CVPR 2022.
  • [12/2021] One paper is accepted to AAAI 2022.

Selected Publications [ Full List ]

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Lingting Zhu*, Xian Liu*, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
MonoHuman: Animatable Human Neural Field from Monocular Video
Zhengming Yu, Wei Cheng, Xian Liu, Wayne Wu, Kwan-Yee Lin.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
ChemSpacE: Toward Steerable and Interpretable Chemical Space Exploration
Yuanqi Du, Xian Liu, Shengchao Liu, Jieyu Zhang, Bolei Zhou.
Transactions on Machine Learning Research (TMLR), 2023.
Also appears at ICLR 2022 MLDD Workshop, ELLIS 2021 MLMD Workshop. (Oral Presentation)
Audio-Driven Co-Speech Gesture Video Generation
Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu.
Advances in Neural Information Processing Systems (NeurIPS), 2022. (Spotlight Presentation)
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou.
European Conference on Computer Vision (ECCV), 2022. (Oral Presentation, Top 2.7%)
Object-Compositional Neural Implicit Surfaces
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng.
European Conference on Computer Vision (ECCV), 2022.
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
Xian Liu, Qianyi Wu, Hang Zhou, Yinghao Xu, Rui Qian, Xinyi Lin, Xiaowei Zhou, Wayne Wu, Bo Dai, Bolei Zhou.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Also appears at CVPR 2022 Sight and Sound Workshop. [5-min Invited Talk] (link)
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
Xian Liu*, Rui Qian*, Hang Zhou*, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou.
AAAI Conference on Artificial Intelligence (AAAI), 2022.

Experiences

Research Intern, Creative Vision Group, Snap Research.
May. 2023 - Sept. 2023
Topic: Human Generation Foundation Model.
Research Intern, Digital Content Group, Shanghai AI Laboratory.
Jul. 2021 - Feb. 2022
Topic: Digital Human, Gesture Generation.
Supervised by: Bo Dai.
Research Intern, Intelligent Video Group, SenseTime Research.
Aug. 2020 - Jun. 2021
Topic: Digital Human, Face Animation.
Supervised by: Wayne Wu.

Professional Services

  • Conference Reviewer for CVPR (2022, 2023), ECCV (2022), ICCV (2023), SIGGRAPH Asia (2022, 2023), NeurIPS (2022, 2023),
    ICML (2022, 2023), ICLR (2023, 2024), AAAI (2022, 2023, 2024).
  • Journal Reviewer for IJCV.

Selected Honors & Awards

  • National Scholarship. 2019, 2020
  • Hong Kong Ph.D. Fellowship Scheme (HKPFS). 2021 - 2025
  • Outstanding Graduate of Zhejiang Province. 2021
  • Outstanding Bachelor Thesis Award of Zhejiang University, Top 1%. 2021
  • He Zhijun Scholarship. 2020
  • SenseTime Scholarship. 2020
  • Tang Lixin Scholarship. 2019
  • First Class Scholarship for Academic Excellence. 2019, 2020

Teaching Experience

  • ENGG 1120, Linear Algebra for Engineers, Spring 2022.
  • ENGG 2440, Discrete Mathematics for Engineers, Fall 2021.