Tianpei Gu

Machine Learning Engineer @ Krea
San Francisco, California

I’ve been working on Generative Models since 2020 with both academic papers and product deployments in related topic. Currently, I’m a Machine Learning Engineer at Krea to build a tool to let everyone uses AI easily. I obtained my Master degree at UCLA where I had great fortune to work with Prof. Bolei Zhou. Prior to my Master study, I did research at Intelligent Vision Group (IVG), Tsinghua University, under the guidance of Prof. Jiwen Lu and Dr. Guangyi Chen. I also had an amazing time at Lexica working on image and video generation models, and SenseTime Research in the topic of GANs and latent space. In December 2020, I received B.S. degree in Computer Science and Mathematics at the University of Maryland.

My research interest is in Computer Vision, especially Generative Models, Diffusion Models and Image/Video Generation.

News

Apr 22, 2024 I join Krea as a Machine Learning Engineer.
Jan 24, 2024 One paper on multi-person interative dance generation is accepted by ICLR’24!
Sep 9, 2023 Journal version of Bailando is accepted by TPAMI’23!
Jul 18, 2023 One paper on Line Art Interpolation accepted by ICCV’23!
Jun 1, 2023 I join Lexica as a Research Engineer.
Oct 24, 2022 I joined Innopeak Technology as a Research Engineer.
Aug 27, 2022 Graduated from UCLA. Go Bruins! :sparkles:
Mar 7, 2022 One paper on Diffusion Model and One paper on Dance Generation (oral) accepted by CVPR’22!
Nov 24, 2021 Spent wonderful 7 months at SenseTime Research. Shout out to my super supportive mentor Chunze Lin and amazing manager Quan Wang.
Mar 24, 2021 One paper on Person Re-ID accepted by TIP’21!

Invited Talks

Diffusion Models: Theory and Applications, Innopeak Technology, 04/2023 [slide]

Services

Reviewer for:
- CVPR: 2022, 2023, 2024 ICCV: 2023 ECCV: 2022 TIP: 2023

Selected Publications

  1. ICLR
    Duolando: Follower gpt with off-policy reinforcement learning for dance accompaniment
    Li Siyao, Tianpei Gu, Zhitao Yang, Zhengyu Lin, Ziwei Liu, Henghui Ding, Lei Yang, and Chen Change Loy
    International Conference on Learning Representations (ICLR) , 2024
    PDF Website
  2. TPAMI
    Bailando++: 3D Dance GPT With Choreographic Memory
    Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2023
    PDF
  3. ICCV
    Deep Geometrized Cartoon Line Inbetweening
    Li Siyao, Tianpei Gu, Weiye Xiao, Henghui Ding, Ziwei Liu, and Chen Change Loy
    IEEE/CVF International Conference on Computer Vision (ICCV) , 2023
    PDF Website
  4. CVPR
    Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
    Tianpei Gu*, Guangyi Chen*, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2022
    PDF Website
  5. CVPR Oral
    Bailando: 3d Dance Generation by Actor-Critic GPT with Choreographic Memory
    Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral) , 2022
    PDF Website
  6. T-IP
    Person Re-Identification via Attention Pyramid
    Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, and Jie Zhou
    IEEE Transactions on Image Processing (T-IP) , 2021
    PDF Website