Jia Xu, Ph.D.
Tencent AI Lab
Email: jiaxu [at] cs.wisc.edu
I am a principal researcher and tech leader at Tencent AI Lab. Before returning to China, I was a senior research scientist in
the Intel Visual Computing Lab, lead by the awesome Vladlen Koltun.
I received my
Computer Sciences at the University of Wisconsin-Madison,
with my thesis committee of Prof. Vikas Singh (advisor),
Prof. Chuck Dyer,
Prof. Jerry Zhu,
Prof. Jude Shavlik, and
Prof. Mark Craven.
I was a visiting student in University of Toronto and in
Toyota Technological Institute at Chicago,
both working with Prof. Raquel Urtasun.
Before graduate school, I obtained my B.S. degree from
the Department of Computer Science and Technology
University, China. My major interests include computer vision, deep learning, and reinforcement learning.
We are hiring researchers/engineers/interns, feel free to email me.
Our Self-Supervised Optical Flow Learning paper was selected for full oral presentation at
CVPR 2019. Winner of the Sintel Optical Flow Benchmark since 11/2018.
Two papers were accepted to
CVPR 2019. Congratulations to my interns Pengpeng and Jing, these are their very first CVPR papers!
Our DHER paper was accepted to
ICLR 2019. Congratulations to team!
Our DDFlow paper was accepted to
AAAI 2019 as oral presentation. Congratulations to my intern, Pengpeng! This is Pengpeng's very first paper published at a top tier conference.
Aug. 2018: Together with my intern Shiyu and collaborators at Tsinghua University, we won the Visual Doom AI Competition 2018.
Our Learning to See in the Dark paper was accepted to
Dec. 2017: I joined Tencent AI Lab as a Principal Researcher.
Our Fast Image Processing paper was accepted to
Our DCFlow paper was accepted to
CVPR 2017. Winner on the Sintel Optical Flow Benchmark from 11/2016 to 11/2017.