Tianpei Gu 「顾天培」

Photo @ UMD.

Email: gutianpei@ucla.edu
Github: https://github.com/Gutianpei
LinkedIn: https://www.linkedin.com/in/tianpei-gu-973904129/

umd. thu. ucla.

About Me

I'm a final year Master student at UCLA, working closely with Prof. Bolei Zhou. I did research at Intelligent Vision Group (IVG), Tsinghua University, under the guidance of Prof. Jiwen Lu and Dr. Guangyi Chen. I also worked at SenseTime Research as an intern. 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 Diffusion Models and Generative Modeling.



University of California, Los Angeles, CA, USA

University of Maryland at College Park, MD, USA


[1] Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu*, Guangyi Chen*, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou , Jiwen Lu
IEEE/CVF Conference on Computer Vision and Patter Recognition (CVPR), 2022, (Poster) dise [Arxiv] [Code]

We propose a new framework to formulate the trajectory prediction task as a reverse process of motion interminacy diffusion, in which we progressively discard indeterminacy from all the walkable areas until reaching the desired trajectory.

[2] Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
Li Siyao, Wenjiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Chang Loy, Ziwei Liu
IEEE/CVF Conference on Computer Vision and Patter Recognition (CVPR), 2022, (Oral) dise [Arxiv] [Code]

[3] Person Re-identification via Attention Pyramid
Guangyi Chen, Tianpei Gu, Jiwen Lu , Jin-An Bao, Jie Zhou
IEEE Transactions on Image Processing (TIP), 2021
dise [PDF] [Supp] [Code]

We propose attention pyramid networks by the "split-attend-merge-stack" principle to jointly learn the attentions under different scales and obtain superior performance on many person re-identification datasets.

Industry Experience

SenseTime Research

Computer Vision Research Intern


Professional Skills

Programming Language (ranked by proficiency): Python, Java, C, C++, Matlab, Git, Shell

Deep Learning Framework: PyTorch, Keras, Tensorflow