Huaijin (George) Chen

PhD Student at Rice University


I'm a PhD student at the Electrical and Computer Engineering Department of Rice University, working with Ashok Veeraraghavan. My research lies at the intersection of computer vision and computational photography.

I believe future healthcare, intelligent systems, and interactive medium rely on the full visual sensing and understanding of the environment and the subjects. Therefore, my research aims to 1) build computational cameras with co-designed optics and learning-based algorithms to achieve the imaging modality, performance or efficiency beyond conventional cameras. 2) leverage both physics-based image formation model and data-drvien deep learning to solve problems in visual understanding and reconstruction.

I'm partially supported by a Texas Instruments Distinguished Graduate Student Fellowship. Thank you, TI!

Academic Experience

Rice University - Houston, TX

Rice University

Research Assistant, Ashok Veeraraghavan Lab, Sep 2013 - Present
Deep Learning Powered Computational Photography and Computer Vision

Northwestern University - Evanston, IL

Northwestern University

Visiting Student, Oliver Cossairt Lab, Mar - May 2016
Compressive Spatial-temporal Multiplexing ToF Camera and Video Holography

Cornell University - Ithaca, NY


Visiting Student, Alyosha Molnar Lab, Sep - Nov 2015
Optically Compute the First Layer of CNNs with ASP Sensor

Brown University - Providence, RI

Brown University

Undergraduate Research Intern, James Hays Lab, Jun - Sep 2012
Internet-scale Image Geo-localization

Industry Experience - Palo Alto, CA

Intern, Computational Imaging Team, Jan - Apr, 2018
Geometrically Constrained GANs for High-res Multi-camera Depth Estimation

NVIDIA Research - Santa Clara, CA


Intern, Mobile Visual Computing Lab, May - Aug, 2017
Deep Video Deblurring with Self-supervision from Physical Image Formation Model

IBM Research - Austin, TX


Intern, Cognitive System Solutions, May - Aug 2016
MERA: Multi-purpose Eldercare Robot Assistant
Press Coverage: [NPR] [BBC] [Scientific American] [Austin American-Statesman] [Inc.] [IEEE GlobalSpec]

Research and Publications


Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

Huaijin Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Jan Kautz, and Ashok Veeraraghavan
IEEE International Conference on Computational Photography (ICCP) 2018 (Oral)



CS-ToF: High-resolution compressive time-of-flight imaging

Fengqiang Li*, Huaijin Chen*, Adithya Pediredla, Chiakai Yeh, Kuan He, Oliver Cossairt, and Ashok Veeraraghavan (* = joint first authors) Optics Express 25 (25), 31096-31110 (2017)



Compressive holographic video

Zihao Wang, Leonidas Spinoulas, Kuan He, Lei Tian, Oliver Cossairt, Aggelos K. Katsaggelos, and Huaijin G. Chen, Optics Express 25 (1), 250-262 (2017)



ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels

Huaijin G. Chen*, Suren Jayasuriya*, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha Molnar (* = joint first authors), CVPR 2016 (Oral)

Project Website




FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared

Huaijin G. Chen, M. Salman Asif, Aswin Sankaranarayanan and Ashok Veeraraghavan, CVPR 2015
ELEC 599 Project Committee: Ashok Veeraraghavan, Richard Baraniuk and Kevin Kelly

Project Website



Text Inpainting and Its Application in Video CAPTCHA Text Removal

Undergraduate Thesis, mentored by Richard Zanibbi, at DPRL, RIT Department of Computer Science




Rice University - Houston, TX, USA

Rice University

Ph.D, Electrical and Computer Engineering, 2016 - Present
M.S., Electrical and Computer Engineering, 2013 - 2016

Rochester Institute of Technology - Rochester, NY, USA


B.S. (High Honors), Imaging Science, 2009 - 2013
Concentration in Music

University of Oxford - UK


Visiting Student at St. Catherines's College, Fall 2012
Courses in Music and Computer Science

Shenzhen Experimental School - Guangdong, China

Shenzhen Experimental School

High School Diploma, Jun 2009




Created and managed SenseWatch with Rice OwlSpark program at Texas Medical Center Accelerator (TMCx). SenseWatch is a startup focused on utilizing wearable devices for human-computer interaction via gesture recognition and vital sign interpretation.

Musical Works



by Chen, Huaijin, Hope Cowan and Emma Wine, Live harp and computer music performance, 15th LaTex Electrionic Music Festival, Rice University, Houston, TX Nov 20-21, 2015


Students Advised

Yuzhong Huang, B.S. ECE, Franklin W. Olin College of Engineering 18’
Jiyue Yang, B.S. ECE, Cornell University 16’, now at UCLA ECE
Judy Stephen, B.S. ECE, Cornell University 16’
Yixin Chen, B.S. ECE, Rice University 18’

Professional Services

Volunteer Chair, IEEE International Conference on Computational Photography 2016
Reviewer: OSA Optics Letters, OSA Applied Optics, IEEE CVPR, IEEE ICCP, CHCCS/SCDHM Graphics Interface


Lead TA, ELEC/COMP 576 Intro to Deep Learning, Rice University, 2017
TA, ELEC 345/546 Introduction to Computer Vision, Rice University, Spring 2017
Invited Instructor, ELEC 681 Fundamentals of Machine Learning, Rice University, Spring 2016
TA, BIOE 451/452, ELEC 494 Senior Design, Rice University, Fall 2015 - Spring 2016
TA, ELEC 241 Fundamentals of Electrical Engineering I, Rice University, Spring 2014

Curriculum Vitae



I lived in the beautiful city of Shenzhen before I came to the United State. Shenzhen Experimental School had been my school for 12 years from elementary school to high school.

In my spare time, I enjoy playing piano, writing wired music, rock climbing, driving and traveling with my camera. I opened a small bar Nakama with my high school roommates in Shenzhen.