Sotabase

Career

· Assistant Professor of Electrical Engineering, Stanford University2023–
· Assistant Professor, Columbia University2019–2023
· PhD Student, Computer Science, Princeton University2013–2018
· BEng, Computer Engineering, HKUST

Publications (117)

3D ShapeNets: A deep representation for volumetric shapes
Computer Vision and Pattern Recognition · 2014
6,176
cited
ShapeNet: An Information-Rich 3D Model Repository
arXiv.org · 2015
6,148
cited
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
arXiv.org · 2015
2,553
cited
Diffusion policy: Visuomotor policy learning via action diffusion
Robotics: Science and Systems · 2023
2,332
cited
Matterport3D: Learning from RGB-D Data in Indoor Environments
International Conference on 3D Vision · 2017
2,258
cited
SUN RGB-D: A RGB-D scene understanding benchmark suite
Computer Vision and Pattern Recognition · 2015
1,994
cited
Semantic Scene Completion from a Single Depth Image
Computer Vision and Pattern Recognition · 2016
1,356
cited
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Computer Vision and Pattern Recognition · 2016
1,139
cited
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
Computer Vision and Pattern Recognition · 2019
820
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Computer Vision and Pattern Recognition · 2015
700
cited
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
IEEE International Conference on Robotics and Automation · 2017
664
cited
Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
624
cited
DataComp: In search of the next generation of multimodal datasets
Neural Information Processing Systems · 2023
596
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
IEEE International Conference on Robotics and Automation · 2016
477
cited
TossingBot: Learning to Throw Arbitrary Objects With Residual Physics
IEEE Transactions on robotics · 2019
434
cited
Sliding Shapes for 3D Object Detection in Depth Images
European Conference on Computer Vision · 2014
420
cited
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Robotics: Science and Systems · 2024
401
cited
TidyBot: Personalized Robot Assistance with Large Language Models
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
394
cited
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