| Semantic Scene Completion from a Single Depth Image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 468 | 2017 |
| Matterport3D: Learning from RGB-D Data in Indoor Environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... IEEE International Conference on 3D Vision (3DV), 2017 | 294 | 2017 |
| 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 264* | 2017 |
| Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge A Zeng, KT Yu, S Song, D Suo, E Walker, A Rodriguez, J Xiao IEEE International Conference on Robotics and Automation (ICRA), 2017 | 220* | 2017 |
| Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ... The International Journal of Robotics Research (IJRR), 2018 | 159 | 2018 |
| Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning A Zeng, S Song, S Welker, J Lee, A Rodriguez, T Funkhouser IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 | 97 | 2018 |
| TossingBot: Learning to Throw Arbitrary Objects with Residual Physics A Zeng, S Song, J Lee, A Rodriguez, T Funkhouser Robotics: Science and Systems (RSS), 2019 | 48 | 2019 |
| Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View S Song, A Zeng, AX Chang, M Savva, S Savarese, T Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 23 | 2018 |
| DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions Z Xu, J Wu, A Zeng, JB Tenenbaum, S Song Robotics: Science and Systems (RSS), 2019 | 15 | 2019 |
| ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation SS Sajjan, M Moore, M Pan, G Nagaraja, J Lee, A Zeng, S Song IEEE International Conference on Robotics and Automation (ICRA), 2020 | 7 | 2020 |
| Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly K Zakka, A Zeng, J Lee, S Song IEEE International Conference on Robotics and Automation (ICRA), 2020 | 6 | 2020 |
| Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations S Song, A Zeng, J Lee, TA Funkhouser IEEE Robotics and Automation Letters, 2020 | 2 | 2020 |
| Learning to See before Learning to Act: Visual Pre-training for Manipulation L Yen-Chen, A Zeng, S Song, P Isola, TY Lin IEEE International Conference on Robotics and Automation (ICRA), 2020 | 2 | 2020 |
| What are the Important Technologies for Bin Picking? Technology Analysis of Robots in Competitions Based on a Set of Performance Metrics M Fujita, Y Domae, A Noda, GA Garcia Ricardez, T Nagatani, A Zeng, ... Advanced Robotics, 1-15, 2019 | 2 | 2019 |
| Learning Visual Affordances for Robotic Manipulation A Zeng Princeton University, 2019 | 2 | 2019 |
| Spatial Action Maps for Mobile Manipulation J Wu, X Sun, A Zeng, S Song, J Lee, S Rusinkiewicz, T Funkhouser Robotics: Science and Systems (RSS), 2020 | | 2020 |
Shuran SongColumbia UniversityVerified email at cs.columbia.edu
