About Me
About Me
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'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 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.
News
News
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.
