Shuran Song
Shuran Song
Columbia University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.columbia.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
24412015
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
17352015
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
8132015
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
6312015
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
6282017
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
4912016
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
4222017
Sliding shapes for 3d object detection in depth images
S Song, J Xiao
European conference on computer vision, 634-651, 2014
3932014
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
344*2017
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
297*2017
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
2672013
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, ...
2018 IEEE international conference on robotics and automation (ICRA), 3750-3757, 2018
2402018
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
2352017
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
1542018
Panocontext: A whole-room 3d context model for panoramic scene understanding
Y Zhang, S Song, P Tan, J Xiao
European conference on computer vision, 668-686, 2014
1492014
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
992019
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
862019
Neural graph matching networks for fewshot 3d action recognition
M Guo, E Chou, DA Huang, S Song, S Yeung, L Fei-Fei
Proceedings of the European conference on computer vision (ECCV), 653-669, 2018
492018
Im2pano3d: Extrapolating 360 structure and semantics beyond the field of view
S Song, A Zeng, AX Chang, M Savva, S Savarese, T Funkhouser
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
312018
Large-scale scene understanding challenge: Room layout estimation
Y Zhang, F Yu, S Song, P Xu, A Seff, J Xiao
CVPR Workshop, 2015
272015
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20