Everything Seemed Impossible Until Someone Did It


About Me

I'm Richard Ke Xu, graduate student, computer vision researcher, and deep learning consumer. My research mainly focus on the perception problems related to autonomous driving. I also have past research experience with deep learning, distributed training, and remote sensing.

I am an upcoming PhD candidate in Computer Science at University of Southern California working with Prof. Ulrich Neumann. I graduated with M.S. in CS at University of Illinois Urbana-Champaign, advised by Prof. Katie Driggs-Campbell. Prior to my graduate study, I finished my B.S. in Computer Engineering at the ECE department of UIUC.

When I'm not working, I spend my time on tennis, aviation, and travel.


  • I will join Prof. Ulrich Neumann's lab as a PhD candidate in Computer Science at University of Southern California in Spring 2021. I will be mainly working on autonomous vehicle related 2D/3D vision.

  • I will be working as a Perception Intern at NVIDIA Autonomous Vehicles Team the summer of 2020. I work on obstacle perception core algorithm development (detection, tracking, association...) for NVIDIA AutoNet.

  • I will be working as a Research Assistant at NCSA HAL Cluster team in Spring 2020. I will help HAL users scale up their deep learning and computer vision code across multiple GPUs and multiple cluster nodes.

Autonomous Driving

Vehicle Decision Making

Distributed Deep Learning

Deep Learning & Remote Sensing