Shuran Song

Ph.D. Student

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

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

Google scholar page

Brief Bio:

Shuran Song is a third-year Ph.D. student at Princeton University, advised by Professor Thomas Funkhouser and Professor Jianxiong Xiao. Before that, she received a BEng. in Computer Science from the Hong Kong University of Science and Technology in 2013. Her research interests are in the areas of computer vision. Specifically, she focuses on data-driven scene understanding in 3D. Shuran was awarded the Facebook Ph.D. Fellowship in Computer Vision in 2015-2016. She was named Princeton Innovation's 25 Under 25 in 2015, and she was the winner of HKUST academic achievement medal in 2013.

Publications:

S. Song, F.Yu, A. Zeng, A. Chang, M. Savva, T. Funkhouser
Semantic Scene Completion from a Single Depth Image
arXiv:1611.08974 [cs.2016] (26 Nov 2016)
Paper ·  Project Webpage

A. Zeng, K.T. Yu, S. Song, D. Suo, E. Walker Jr., A. Rodriguez, and J. Xiao
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
arXiv:1609.09475 [cs.2016] (29 Sep 2016)
Paper ·  Project Webpage and Dataset ·  Source Code

A. Zeng, S. Song, M. Nießner, M. Fisher, and J. Xiao.
3DMatch: Learning the Matching of Local 3D Geometry in Range Scans
arXiv:1603.08182 [cs.2016] (27 Mar 2016)
Paper ·  Project Webpage

S. Song, and J. Xiao.
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Proceedings of 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016)
Spotlight Presentation ·  Paper ·  Project Webpage

A. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu.
ShapeNet: An Information-Rich 3D Model Repository
arXiv:1512.03012 [cs.CV] 9 Dec 2015
Paper ·  ShapeNet dataset

S. Song, S. Lichtenberg and J. Xiao
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
Oral Presentation ·  Paper ·  Dataset and Project Webpage

Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang and J. Xiao
3D ShapeNets: A Deep Representation for Volumetric Shapes
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015)
Oral Presentation ·  Paper ·  Source Code and Project Webpage ·  Princeton ModelNet Dataset

S. Song, L. Zhang, and J. Xiao.
Robot In a Room: Toward Perfect Object Recognition in Closed Environments
arXiv:1507.02703 [cs.CV] 9 Jul 2015
Paper ·  Project Webpage and Source Code

F. Yu, A. Seff, Y. Zhang, S. Song 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

S. Song and J. Xiao
Sliding Shapes for 3D Object Detection in Depth Images
Proceedings of the 13th European Conference on Computer Vision (ECCV2014)
Oral Presentation ·  Paper ·  Source Code and Data and 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 ·  Source Code and Data and Project Webpage

S. Song and J. Xiao
Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines
Proceedings of 14th IEEE International Conference on Computer Vision (ICCV2013)
Paper ·  Project Webpage, Data, Source Code and Evaluation Server

Other Projects:

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

Amazon Picking Challenge Competition 2016 (MIT + Princeton team)
Project Webpage

Talks:

Oral presentation of Sliding Shapes at ECCV2014.
And invited talks at Microsoft Research Asia, Tsinghua University, and Chinese Academy of Sciences.
Slides: Powerpoint (95MB) and PDF (50MB).
Video Recording: http://videolectures.net/eccv2014_song_depth_images/.

Oral presentation of SUN RGB-D at CVPR2015.
Slides: Powerpoint (90MB) and Poster (9MB).
Video Recording: http://techtalks.tv/talks/sun-rgb-d-a-rgb-d-scene-understanding-benchmark-suite/61578/.

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Press Coverage:

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