Yinda Zhang

Ph.D. Candidate

Department of Computer Science
Princeton University
Room 418A, 35 Olden Street
Princeton, NJ 08544

Email: yindaz [at] cs [dot] princeton [dot] edu

Google Scholar Profile

Curriculum Vitae

Brief Bio.:

I've graduated and started working at Google! Check HERE for my new personal webpage. Thanks!

Yinda Zhang received his Ph.D from Princeton University, advised by Professor Thomas Funkhouser. Before that, he received a Bachelor degree from Dept. Automation, Tsinghua University and a Master degree from Dept. ECE, National University of Singapore under the supervision of Prof. Ping Tan and Prof. Shuicheng Yan. He is currently working on 3D context model, 3D deep learning, and scene understanding.


Y. Zhang, S. Khamis, C. Rhemann, J. Valentin, A. Kowdle, V. Tankovich, M. Schoenberg, S. Izadi, T. Funkhouser, S. Fanello
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
European Conference on Computer Vision (ECCV 2018), Oral Presentation
Project Webpage

N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, Y. Jiang
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
European Conference on Computer Vision (ECCV 2018)
Project Webpage

Y. Zhang, T. Funkhouser.
Deep Depth Completion of a Single RGB-D Image
Computer Vision and Pattern Recognition (CVPR 2018), Spotlight
Project Webpage

Y. Zhang, M. Bai, P. Kohli, S. Izadi, and J. Xiao.
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
International Conference on Computer Vision (ICCV 2017)
Project Webpage

A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Niessner, M. Savva, S. Song, A. Zeng, Y. Zhang
Matterport3D: Learning from RGB-D Data in Indoor Environments
International Conference on 3D Vision (3DV 2017)
Project Webpage

Y. Zhang, S. Song, E. Yumer, M. Savva, J. Lee, H. Jin, T. Funkhouser.
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Computer Vision and Pattern Recognition (CVPR 2017)
Project Webpage

Marvin: A Minimalist GPU-only N-dimensional ConvNet Framework
Project Webpage

Y. Zhang, S. Song, P. Tan, and J. Xiao
PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
Oral Presentation ·  Paper ·  Project Webpage with Code and Data

F. Yu, Y. Zhang, S. Song, A. Seff, and J. Xiao.
Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
arXiv:1506.03365 [cs.CV] 10 Jun 2015
Paper ·  LSUN dataset

P. Xu, K. A. Ehinger, Y. Zhang, A. Finkelstein, S. R. Kulkarni, and J. Xiao.
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
arXiv:1504.06755 [cs.CV] 25 Apr 2015
Paper ·  Project Webpage, Source Code, and iSUN dataset

Y. Zhang, J. Xiao, J. Hays, P. Tan.
FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013)
Paper ·  Project Webpage, Source Code, Supplimentary Material and Posters


Oral presentation at the main conference: Keynote slides (409MB) and PDF slides (73MB).

Video recording of the talk: http://videolectures.net/eccv2014_zhang_panoramic_scene/.