Richard Zhang

PhD Candidate
EECS Department
University of California at Berkeley

rich.zhang at
[GitHub] [Google Scholar]

I am a PhD candidate in the EECS department at the University of California, Berkeley, advised by Professor Alexei (Alyosha) Efros. I obtained my Bachelor of Science and Master of Engineering degrees from Cornell University in Electrical and Computer Engineering (ECE). My research interests are in Computer Vision, Machine Learning, Deep Learning, and Sensor Fusion.


Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Zhang*, Jun-Yan Zhu*, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
(*indicates equal contribution)
[PDF] [Webpage] [GitHub] Video [YouTube mp4] [Slides (141mb)] [Fastforward] [Seminar Talk] [Bibtex]
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Zhang, Phillip Isola, Alexei A. Efros
In CVPR 2017.
[PDF] [Webpage] [GitHub] [Seminar Talk] [Bibtex]
Colorful Image Colorization
Richard Zhang, Phillip Isola, Alexei A. Efros
In ECCV 2016 (oral presentation).
[PDF] [Webpage] [GitHub] [Talk] [Slides (138mb)] [Poster] [Bibtex]
Sensor Fusion for Semantic Segmentation of Urban Scenes
Richard Zhang, Stefan Candra, Kai Vetter, Avideh Zakhor
In ICRA 2015.
[PDF] [Slides] [Poster] [Talk] Annotations [tar zip] [Bibtex]
Automatic Identification of Window Regions on Indoor Point Clouds Using LiDAR and Cameras
Richard Zhang, Avideh Zakhor
In WACV 2014.
[PDF] [Bibtex]


Introduction to Artificial Intelligence (CS 188), UC Berkeley
Graduate Student Instructor (GSI) with Prof Anca Dragan
Spring 2017

Computer Vision (CS 280), UC Berkeley
Graduate Student Instructor (GSI) with Prof Alexei A. Efros, Prof Trevor Darrell
Spring 2016

Introduction to Circuits (ECE 2100), Cornell University
Teaching Assistant (TA) with Prof Alyosha Molnar
Spring 2010


Adobe Research Fellowship 2017