About Me
About Me
I'm Ke (Richard) Xu. I am a first-year Ph.D. in Computer Science at the University of Southern California, advised by Prof. Ram Nevatia. I am affiliated with the IRIS Computer Vision Lab. My broad research interest lies in computer vision and machine learning. My current focus is adversarial learning and video understanding.
I'm Ke (Richard) Xu. I am a first-year Ph.D. in Computer Science at the University of Southern California, advised by Prof. Ram Nevatia. I am affiliated with the IRIS Computer Vision Lab. My broad research interest lies in computer vision and machine learning. My current focus is adversarial learning and video understanding.
Before coming to USC, I graduated with M.S. in Computer Science and B.S. in Computer Engineering at the University of Illinois Urbana-Champaign, advised by Prof. Katie Driggs-Campbell and Prof. Volodymyr Kindratenko. During my time at UIUC, I had research experience with deep learning, autonomous driving, distributed training, and remote sensing.
Before coming to USC, I graduated with M.S. in Computer Science and B.S. in Computer Engineering at the University of Illinois Urbana-Champaign, advised by Prof. Katie Driggs-Campbell and Prof. Volodymyr Kindratenko. During my time at UIUC, I had research experience with deep learning, autonomous driving, distributed training, and remote sensing.
News
News
I will be a Perception Intern at NVIDIA Autonomous Vehicles Team the summer of 2020. I will be working on obstacle perception algorithm development (detection, tracking, association...).
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.
