Shuran Song

shurans AT cs.princeton.edu


I am a 5th year PhD student in the Computer Science department at Princeton University, advised by Thomas Funkhouser. Before that, I recieved a BEng. in Computer Science from HKUST in 2013.

My research interests lie broadly in artificial intelligence, with emphasis on computer vision and robotics. My work focuses on establishing the complete research infrastructure for the field of 3D visual scene understanding: from developing fundamental algorithms to deploying them in practical real-world robotics applications; from constructing large-scale 3D datasets to designing effective 3D data representations.

Google Scholar  |  CV  |  Github

News




Research

Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
A. Zeng, S. Song, K. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morona, P. Q. Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, A. Rodriguez
Paper ·  Project Webpage ·  Code (Github)

Semantic Scene Completion from a Single Depth Image
S. Song, F. Yu, A. Zeng, A. Chang, M. Savva, T. Funkhouser
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
Oral Presentation  ·  Paper ·  Project Webpage

3DMatch: Learning the Matching of Local 3D Geometry in Range Scans
A. Zeng, S. Song, M. Nießner, M. Fisher, J. Xiao and T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
Oral Presentation  ·  Paper ·  Project Webpage

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

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Y. Zhang*, S. Song*, E. Yumer, M. Savva, J. Lee, H. Jin, T. Funkhouser.
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017)
Paper ·  Project Webpage *indicates equal contribution.

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
A. Zeng, K.T. Yu, S. Song, D. Suo, E. Walker Jr., A. Rodriguez, and J. Xiao
International Conference on Robotics and Automation (ICRA2017)
Paper ·  Project Webpage and Dataset ·  Source Code

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

ShapeNet: An Information-Rich 3D Model Repository
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.
arXiv:1512.03012 [cs.CV] 9 Dec 2015
Paper ·  ShapeNet dataset

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

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

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

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

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

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

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



Honors





Press Coverage





Teaching





Services