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* About
* News
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* Misc
CHEN GAO
PH.D. STUDENT | CHENGAO@VT.EDUABOUT ME
I am a first-year Ph.D. student in the Electrical and Computer Engineering department at Virginia Tech, working with Prof. Jia-Bin Huang . I'm interested in human-object interaction detection, image/video manipulation and optimization. Currently I am a research intern at Facebook Seattle, under the guidance of Dr. Johannes Kopf . Prior to that I was a master student at 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 withProf. Raviv Raich .
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NEWS
I will be an official reviewer for BMVC 2019. I will be a research intern at Facebook Seattle this summer, under the guidance of Dr. Johannes Kopf . Our paper on foreground-background separation, is accepted to IEEETCI.
The code of our
GlobalSIP2017 paper is released! Check the Project pagefor details.
The code of our BMVC2018 paper is released! Check the Project pagefor details.
Our paper on HOI detection, is accepted to BMVC 2018. See you atNewcastle, UK.
I will join Prof. Jia-Bin Huang's group as a PhD student starting inAugust.
One paper on Foreground-Background Separation and Denoising acceptedto GlobalSIP 2017.
-------------------------PUBLICATION
iCAN: Instance-Centric Attention Network for Human-Object InteractionDetection
CHEN GAO, Yuliang Zou, Jia-Bin Huang _Proceedings of The British Machine Vision Conference (BMVC), 2018 _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_
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 PRESENTATION)_-------------------------
EDUCATION
Virginia Tech
Doctor of Philosophy University of MichiganMaster of Science
Oregon State UniversityBachelor of Science
-------------------------PROJECT
Human-Object Interactions Detection We tackle the challenging task of detecting human-object interactions (HOI). Our core idea is that the appearance of a person or an object instance contains informative cues on which relevant parts of an image to attend to for facilitating interaction prediction. To exploit these cues, we propose an instance-centric attention module that learns to dynamically highlight regions in an image conditioned on the appearance of each instance. Such an attention-based network allows us to selectively aggregate features relevant for recognizing HOIs. Detecting Migrating Birds at Night A vision-based system for detecting migrating birds in flight at night, which takes stereo videos of the night sky as inputs, detects multiple flying birds and estimates their orientations, speeds, andaltitudes.
Foreground-Background Separation and Denoising on Noisy, Moving CameraVideo
A robust PCA algorithm with total variation regularization for foreground-background separation and denoising on noisy, moving camera video. Our proposed algorithm registers the raw – possibly corrupted – frames of a video and then jointly processes the registered frames to produce a decomposition of the scene into a low-rank component that captures the static components of the scene, a smooth foreground component that captures the dynamic components of the scene, and a sparse component that can isolate corruptions and othernon-idealities.
-------------------------COURSES
Virginia Tech
STAT5444 - Bayesian Statistics 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 2018Teaching Assistant
ECE 5424 / CS 5824 (Advanced Machine Learning), Spring 2019 -------------------------MISC
Road Trip
I enjoy road trip as it's a great way to experience local customs and the spectacular landscape along the way reminds me how great our Creator is. One of my dream is to visit all the 59 national parks in the USA. I have visited 19 national parks already and am looking forward to my next journey. Here is a list of the national parks I'vevisited
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 Olympic - Washington Sequoia - California Shenandoah - Virginia Yellowstone - Wyoming, Montana, Idaho Yosemite - CaliforniaZion - Utah
Painting
I spent 6 years learning figure sketch, traditional Chinese paintingand Gongbi
, specialized in Bird-and-flowerpainting .
Through painting I find inner peace. Big fan of Rubik's Cube4x4x4
5x5x5
Tennis lover
#tennislover
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
Lab wiki
How to do research (Bill Freeman) Time management tips (Devi Parikh)CONTACT
chengao@vt.edu
chengao@umich.edu
SOCIAL LINKS
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