I am a postdoctoral researcher at The Movement Lab of Stanford University, working with Prof. C. Karen Liu. My research interests include artificial intelligence, computer graphics, and computer vision with a focus on motion planning and reinforcement learning for physics-based character control and embodied agent. I am also interested in applying computer science techniques to other disciplines, like bioengineering and biomedical engineering.

Before joining Stanford University, I was a research assistant professor at Clemson University, working at the Big Data Analytics Lab with Prof. Feng Luo. I received my Ph.D. in computer science from Clemson University under the supervision of Prof. Ioannis Karamouzas. Prior to that, I received an M.S. in electrical engineering from University of Minnesota at Twin Cities.

Publications

2024

SIGGRAPH Asia 2024

Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing

Pei Xu, Ruocheng Wang

In SIGGRAPH Asia, 2024.

SIGGRAPH Asia 2024

FürElise: Capturing and Physically Synthesizing Hand Motions of Piano Performance

Ruocheng Wang*, Pei Xu*, Haochen Shi, Elizabeth Schumann, C. Karen Liu

In SIGGRAPH Asia, 2024.

2023

SIGGRAPH Asia 2023

AdaptNet: Policy Adaptation for Physics-Based Character Control

Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor Zordan

ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2023).

RA-L & ICRA 2024

Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction

Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas

IEEE Robotics and Automation Letters.
Also in IEEE International Conference on Robotics and Automation, 2024.

SIGGRAPH 2023

Composite Motion Learning with Task Control

Pei Xu, Xiumin Shang, Victor Zordan, Ioannis Karamouzas

ACM Transactions on Graphics (Proceedings of SIGGRAPH 2023). In technical papers trailer.

SCA 2023

Too Stiff, Too Strong, Too Smart: Evaluating Fundamental Problems with Motion Control Policies

Kaixiang Xie, Pei Xu, Sheldon Andrews, Victor Zordan, Paul G. Kry

PACM on Computer Graphics and Interactive Techniques.
In ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2023.

2022

ECCV 2022

SocialVAE: Human Trajectory Prediction using Timewise Latents

Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas

In the 17th European Conference on Computer Vision, 2022.

2021

MIG 2021

PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network

Pei Xu, Ioannis Karamouzas

In ACM SIGGRAPH Conference on Motion, Interaction and Games, 2021. Best paper nomination.
Also in NeurIPS Deep Reinforcement Learning workshop, 2021.

IROS 2021

Human Inspired Multi-Agent Navigation using Knowledge Distillation

Pei Xu, Ioannis Karamouzas

In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021.

SCA 2021

A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control

Pei Xu, Ioannis Karamouzas

PACM on Computer Graphics and Interactive Techniques. Cover article.
In ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2021.

Bioengineering & Biomedical Engineering

Prior Work