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.

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.

kxu47918 -at- usc.edu

LinkLinkedInGitHub

Publications

PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch

Ke Xu*, Yao Xiao*, Zhaoheng Zheng, Kaijie Cai, and Ram Nevatia
WACV, 2023

[arXiv]

Adversarial Robustness of SOTA Vision Transformers vs. CNNs

Ke Xu and Ram Nevatia
Preliminary, 2022

[Blog] [GitHub]

Revisiting Image-Language Networks for Open-ended Phrase Detection

Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, and Kate Saenko
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

[Paper] [arXiv] [GitHub]

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

Ke Xu and Katherine Driggs-Campbell
MS Thesis, 2020

[Paper]

Online Monitoring for Safe Pedestrian-Vehicle Interactions

Peter Du, Zhe Huang, Tianqi Liu, Tianchen Ji, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Driggs-Campbell, and Sayan Mitra
IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020

[Paper] [arXiv]

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