I am a research assistant in the Bradley Electrical and Computer Engineering department at Virginia Tech, working with Prof. Jia-Bin Huang. I'm interested in optimization, image/video manipulation and visual relationship understanding.Prior to that I was a master student at University of Michigan, working with 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.
Chen Gao*, Brian E. Moore*, Raj Rao Nadakuditi
Prepare for IEEE Transactions on Computational Imaging
[Paper (PDF)] [Code(coming soon)]
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017 (Oral Presentation)
[Paper (PDF)] [Code(coming soon)] [Slides(video demo)]
University of Michigan
Master of Science
Oregon State University
Bachelor of Science
Ongoing. To be updated.
Ongoing. To be updated.
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, and altitudes.
This work presents a novel approach for robust PCA with total variation regularization for foreground-background separation and denoising on noisy, moving camera video. Our proposed algorithm reg isters 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 other non-idealities. Unlike existing methods, our proposed algorithm produces a panoramic low-rank component that spans the entire field of view of the video, automatically stitching together possibly noisy data from partially overlapping scenes. The low-rank portion of our robust PCA model is based on a recently discovered optimal low-rank matrix estimator (OptShrink) that requires no parameter tuning. We demonstrate the ability of our algorithm to denoise and inpaint moving camera videos.
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
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 14 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
Mesa Verde - Colorado
Shenandoah - Virginia
Yellowstone - Wyoming, Montana, Idaho
Zion - Utah
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
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