| 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 | 1277 | 2017 |
| 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 | 1082 | 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 | 728 | 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 | 568* | 2018 |
| 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 | 474 | 2017 |
| 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 | 472 | 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 | 295 | 2019 |
| Do As I Can, Not As I Say: Grounding Language in Robotic Affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ... Conference on Robot Learning (CoRL), 2022 | 286 | 2022 |
| Transporter Networks: Rearranging the Visual World for Robotic Manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... Conference on Robot Learning (CoRL), 2020 | 191 | 2020 |
| Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations S Song, A Zeng, J Lee, T Funkhouser IEEE Robotics and Automation Letters (RA-L), 2020 | 133 | 2020 |
| 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 | 133 | 2020 |
| Implicit Behavioral Cloning P Florence, C Lynch, A Zeng, O Ramirez, A Wahid, L Downs, A Wong, ... Conference on Robot Learning (CoRL), 2021 | 108 | 2021 |
| Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... International Conference on Learning Representations (ICLR), 2023 | 107 | 2023 |
| Inner Monologue: Embodied Reasoning through Planning with Language Models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... Conference on Robot Learning (CoRL), 2022 | 107 | 2022 |
| Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks D Seita, P Florence, J Tompson, E Coumans, V Sindhwani, K Goldberg, ... IEEE International Conference on Robotics and Automation (ICRA), 2021 | 100 | 2021 |
| 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 | 87 | 2020 |
| 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 | 84 | 2019 |
| PaLM-E: An Embodied Multimodal Language Model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 79 | 2023 |
| Learning the Matching of Local 3D Geometry in Range Scans A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser CVPR 1 (2), 4, 2017 | 69 | 2017 |
| 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 | 65 | 2018 |
Shuran SongColumbia UniversityVerified email at cs.columbia.edu
