About Me
I am a third year PhD student in Computer Science at Brown University, my advisor is James Hays. In 2012, I had the opportunity to work with Jue Wang and Sunghyun Cho as a summer intern at Adobe Research, Seattle.
My research interest lies in data-driven methods in computational photography and computer vision, with a focus on developing example-based, expressive image priors suitable for restoration and synthesis tasks.
I graduated from Swarthmore College with a double-major in computer science and mathematics in 2010. Prior to that,
I spent four years at Raffles Institituion/Junior College in Singapore as an MOE scholar. I grew up in Wuhan, China,
where I attended Wuhan Foreign Languages School.
PhD Research
Single Image Deblurring / Blind Deconvolution

Edge-based Blur Kernel Estimation Using Patch Priors
Libin Sun, Sunghyun Cho, Jue Wang, James Hays
IEEE International Conference on Computational Photography 2013 (ICCP)
[project page] |
[pdf] |
[slides]
Data-driven Super-resolution

Super-resolution from Internet-scale Scene Matching
Libin Sun, James Hays
IEEE International Conference on Computational Photography 2012 (ICCP)
[project page] |
[pdf] |
[slides] |
[talk video]
Previous Research
Large Scale kNN using CUDA and MPI

Hybrid MPI and GPU Approach to Efficiently Solving Large kNN Problem
Libin Sun, Cyrus Stoller and Tia Newhall, the 2010 TeraGrid Conference [poster]
[featured article] in International Science Grid This Week (ISGTW), Sep-15-2010
Selected Courses
- Spring 2012
- CS1550 Probability and Computing, Eli Upfal
- ENGN2502 3D Photography, Gabriel Taubin
- Fall, 2011
- CS2950P Applied Bayesian Nonparametrics, Erik Sudderth
- CS1430 Intro to Computer Vision [TA], James Hays
- Spring, 2011
- CS1290 Computational Photography, James Hays
- CS1950F Intro to Machine Learning, Erik Sudderth
- APMA2610 Recent Applications of Prob/Stat, Matt Harrison
- Fall, 2010
- CS1230 Intro to Computer Graphics, Andy van Dam
- CS2950Q Topics in Computer Vision, Michael Black
- CS2951B Data-driven Vision + Graphics, James Hays