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

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.

Publications:

	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