Chen Gao | 髙諶

Ph.D. student | chengao@vt.edu



Humble yourselves, therefore, under the mighty hand of God so that at the proper time he may exalt you, casting all your anxieties on him, because he cares for you.

1 Peter 5: 6-7

ABOUT ME

I am a third-year Ph.D. student at Virginia Tech, working with Prof. Jia-Bin Huang. My interest lies in the field of Computational Photography and Computer Vision. My current research is focusing on image/video manipulation and scene understanding.

Prior to that, I was a Master's student at the University of Michigan, working with Dr. Brian Moore, under the supervision of Prof. Raj Rao Nadakuditi. Going back even further, I was an undergraduate student at Oregon State University, working with Prof. Raviv Raich.

During the 2020 summer, I was lucky to be a research intern at Google, working with Dr. YiChang Shih and Dr. Wei-Sheng Lai. In 2019 summer, I was a research intern at Facebook Seattle, under the guidance of Dr. Johannes Kopf. Also, I had the great opportunity to work with Dr. Rich Caruana (Microsoft Research).





Please find my CV here (last updated on Sept. 2020).

NEWS
[2021/01]
I will be a research intern at Google this summer, under the guidance of Dr. Mike Krainin and Dr. Miki Rubinstein.
[2020/08]
The code of our ECCV 2020 video completion paper is up!
[2020/08]
The Project page of our ECCV 2020 video completion paper is up.
[2020/08]
The code of our ECCV 2020 HOI detection paper is released! Check the Project page for details.
[2020/08]
The code of our ECCV 2020 NAS-DIP paper is released! Check the Project page for details.
[2020/07]
Three papers are accepted to ECCV 2020.

PUBLICATION


Flow-edge Guided Video Completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf
Proceedings of European Conference on Computer Vision (ECCV) 2020
[Paper (PDF)]    [Project page]    [Code]    [Google Colab]



DRG: Dual Relation Graph for Human-Object Interaction Detection
Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV) 2020
[Paper (PDF)]    [Project page]    [Code]



NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yun-Chun Chen*, Chen Gao*, Esther Robb, Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV) 2020
[Paper (PDF)]    [Project page]    [Code]



Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph Messou, Jia-Bin Huang
Proceedings of Neural Information Processing Systems (NeurIPS) 2019
[Paper (PDF)]    [Project page]    [Code]    [Poster]



iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Chen Gao, Yuliang Zou, Jia-Bin Huang
Proceedings of The British Machine Vision Conference (BMVC) 2018
[Paper (PDF)]    [Project page]    [Code]    [Poster]



Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
Chen Gao*, Brian E. Moore*, Raj Rao Nadakuditi
IEEE Transactions on Computational Imaging (TCI) 2019
[Paper (PDF)]    [Project page]    [Code]





Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2017 (Oral)
[Paper (PDF)]    [Project page]    [Code]    [Slides(video demo)]


EDUCATION


Virginia Tech
Doctor of Philosophy

University of Michigan
Master of Science

Oregon State University
Bachelor of Science


INDUSTRY


Research Intern
Summer 2019

Research Intern
Summer 2020

Research Intern
Summer 2021


ACTIVITIES

Conference Reviewer
BMVC 2019-2020, NeurIPS 2020, CVPR 2020-2021, ACCV 2020, WACV 2020-2021

Journal Reviewer
TPAMI, TIP


COURSES

Virginia Tech
STAT5444 - Bayesian Statistics
CS6804 - Graph Machine Learning
CS6804 - Causal Reasoning

University of Michigan
EECS442 - Computer Vision
EECS501 - Probability and Random Processes
EECS551 - Matrix Methods
EECS542 - Advanced Topics in Computer Vision
EECS545 - Machine Learning
EECS587 - Parallel Computing
EECS592 - Advanced Artificial Intelligence
EECS598 - Random Matrix Theory


TEACHING
Teaching Assistant
ECE 5554 / ECE 4554 (Computer Vision), Fall 2018 [Link]    [Tutorial]
Teaching Assistant
ECE 5424 / CS 5824 (Advanced Machine Learning), Spring 2019 [Link] [Lecture on Neural Network]

MISC

Road Trip
I enjoy road-trip as it's a great way to experience local customs. The spectacular landscape reminds me of how great our Creator is. One of my dreams is to visit all the 59 national parks in the US. I have visited 20 national parks already and am looking forward to my next journey. Here is a list of the national parks I've visited

Arches - Utah
Bryce Canyon - Utah
Canyonlands - Utah
Capitol Reef - Utah
Crater Lake - Oregon
Everglades - Florida
Grand Canyon - Arizona
Grand Teton - Wyoming
Great Sand Dunes - Colorado
Joshua Tree - California
Kings Canyon - California
Mesa Verde - Colorado
Mount Rainier - Washington
North Cascades - Washington
Olympic - Washington
Sequoia - California
Shenandoah - Virginia
Yellowstone - Wyoming, Montana, Idaho
Yosemite - California
Zion - Utah

Painting
I spent 6 years learning figure sketch, traditional Chinese painting, and Gongbi, specialized in Bird-and-flower painting. Through painting, I find inner peace. These days I enjoy drawing some anime characters for fun. Check them out.

Big fan of Rubik's Cube
4x4x4
5x5x5

Tennis lover
#tennislover

Games
I'll call the following games Masterpiece because they change my perspective somehow.

AIR - VisualArt's
Portal - Valve
To the moon - Freebird Games

The Mighty
Humble yourselves, therefore, under the mighty hand of God so that at the proper time he may exalt you, casting all your anxieties on him, because he cares for you.

1 Peter 5: 6-7


Links
Reading Group
Cluster
How to do research (Bill Freeman)

CONTACT

Email
chengao@vt.edu
chengao@umich.edu

SOCIAL LINKS

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