About Me
About Me
I'm Ke (Richard) Xu. I am advised by Prof. Ram Nevatia in Computer Science at the University of Southern California. My broad research interest lies in computer vision and deep learning.
I'm Ke (Richard) Xu. I am advised by Prof. Ram Nevatia in Computer Science at the University of Southern California. My broad research interest lies in computer vision and deep learning.
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.
Publications
Publications
HAL: Computer System for Scalable Deep Learning
HAL: Computer System for Scalable Deep Learning
Volodymyr Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy Campbell, Jian Peng, and William Gropp
Practice and Experience in Advanced Research Computing (PEARC), 2020
[Paper]
Autonomous Vehicles that Understand Road Agents: Detection, Tracking, and Behavior Prediction
Autonomous Vehicles that Understand Road Agents: Detection, Tracking, and Behavior Prediction
Ke Xu and Katherine Driggs-Campbell
MS Thesis, 2020
[Paper]
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, and Sibo Wang
2019
[arXiv]
Previous Projects
Previous Projects