3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 6819 | 2015 |
Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 5745 | 2015 |
Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop F Yu, A Seff, Y Zhang, S Song, T Funkhouser, J Xiao arXiv preprint arXiv:1506.03365, 2015 | 2386 | 2015 |
Sun rgb-d: A rgb-d scene understanding benchmark suite S Song, SP Lichtenberg, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 2143 | 2015 |
Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... International Conference on 3D Vision (3DV), 2017 | 1903 | 2017 |
Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1367 | 2017 |
3dmatch: Learning local geometric descriptors from rgb-d reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1109 | 2017 |
Deep sliding shapes for amodal 3d object detection in rgb-d images S Song, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 850 | 2016 |
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 41 (7), 690-705, 2022 | 754 | 2022 |
Normalized object coordinate space for category-level 6d object pose and size estimation H Wang, S Sridhar, J Huang, J Valentin, S Song, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 720 | 2019 |
Learning synergies between pushing and grasping with self-supervised deep reinforcement learning A Zeng, S Song, S Welker, J Lee, A Rodriguez, T Funkhouser 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 650 | 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 2017 IEEE international conference on robotics and automation (ICRA), 1386-1383, 2017 | 556 | 2017 |
Sliding shapes for 3d object detection in depth images S Song, J Xiao Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 550 | 2014 |
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 | 422 | 2019 |
Tracking revisited using RGBD camera: Unified benchmark and baselines S Song, J Xiao Proceedings of the IEEE international conference on computer vision, 233-240, 2013 | 359 | 2013 |
Diffusion policy: Visuomotor policy learning via action diffusion C Chi, S Feng, Y Du, Z Xu, E Cousineau, B Burchfiel, S Song arXiv preprint arXiv:2303.04137, 2023 | 327 | 2023 |
Physically-based rendering for indoor scene understanding using convolutional neural networks Y Zhang, S Song, E Yumer, M Savva, JY Lee, H Jin, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 313 | 2017 |
Neural illumination: Lighting prediction for indoor environments S Song, T Funkhouser Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 303 | 2019 |
Panocontext: A whole-room 3d context model for panoramic scene understanding Y Zhang, S Song, P Tan, J Xiao Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 292 | 2014 |
Tidybot: Personalized robot assistance with large language models J Wu, R Antonova, A Kan, M Lepert, A Zeng, S Song, J Bohg, ... Autonomous Robots 47 (8), 1087-1102, 2023 | 245 | 2023 |