I'm Richard Xu, graduate student, computer vision researcher, and deep learning consumer. My research mainly focus on 3D Vision. I also have past research experience with deep learning, autonomous vehicles, distributed training, and remote sensing.
I am a Ph.D. candidate in Computer Science at the University of Southern California advised by Prof. Ulrich Neumann. I am affiliated with the Computer Graphics and Immersive Technologies (CGIT) Lab. I graduated with M.S. in CS at the University of Illinois Urbana-Champaign advised by Prof. Katie Driggs-Campbell. I finished my B.S. in Computer Engineering at UIUC working with Prof. Volodymyr Kindratenko.
I will join Prof. Ulrich Neumann's Computer Graphics and Immersive Technologies (CGIT) lab as a PhD candidate in Computer Science at University of Southern California in Spring 2021. I will be mainly working on 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 Center for Artificial Intelligence Innovation (CAII) in Spring 2020. I will help HAL users scale up their deep learning and computer vision code across multiple GPUs and multiple cluster nodes.