Richard Zhang

PhD Student
EECS Department
University of California at Berkeley

rich.zhang at
[GitHub] [Google Scholar]

I am a PhD student 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.


Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Zhang, Phillip Isola, Alexei A. Efros
In CVPR 2017.
[PDF] [Webpage] [GitHub] [Bibtex]
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)
Conditionally accepted to SIGGRAPH 2017.
Colorful Image Colorization
Richard Zhang, Phillip Isola, Alexei A. Efros
In ECCV 2016 (oral presentation).
[PDF] [Webpage] [GitHub] [Presentation] [Slides 138 MB] [Poster] [Bibtex]
Sensor Fusion for Semantic Segmentation of Urban Scenes
Richard Zhang, Stefan Candra, Kai Vetter, Avideh Zakhor
In ICRA 2015.
[PDF] [Slides] [Poster] [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]