Sotabase

Career

· Chairman & CTO, Hillbot2024–
· Associate Professor, University of California, San Diego2023–
· Assistant Professor, University of California, San Diego2017–2023
· Ph.D. in Mathematics, Beihang University2014–
· PhD in Computer Science, Stanford University2010–2018
· B.S. in Computer Science, Beihang University2006–

Publications (140)

ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2014
41,744
cited
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Computer Vision and Pattern Recognition · 2016
16,642
cited
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Neural Information Processing Systems · 2017
13,175
cited
ShapeNet: An Information-Rich 3D Model Repository
arXiv.org · 2015
6,148
cited
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Computer Vision and Pattern Recognition · 2016
2,515
cited
Frustum PointNets for 3D Object Detection from RGB-D Data
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
2,466
cited
Volumetric and Multi-view CNNs for Object Classification on 3D Data
Computer Vision and Pattern Recognition · 2016
1,625
cited
A scalable active framework for region annotation in 3D shape collections
ACM Transactions on Graphics · 2016
1,321
cited
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
Computer Vision and Pattern Recognition · 2018
851
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
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
IEEE International Conference on Computer Vision · 2015
749
cited
SAPIEN: A SimulAted Part-Based Interactive ENvironment
Computer Vision and Pattern Recognition · 2020
671
cited
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Computer Vision and Pattern Recognition · 2016
486
cited
Learning Shape Abstractions by Assembling Volumetric Primitives
Computer Vision and Pattern Recognition · 2016
387
cited
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness
Computer Vision and Pattern Recognition · 2019
354
cited
Temporal Difference Learning for Model Predictive Control
International Conference on Machine Learning · 2022
342
cited
FPNN: Field Probing Neural Networks for 3D Data
Neural Information Processing Systems · 2016
301
cited
Synthesizing Training Images for Boosting Human 3D Pose Estimation
International Conference on 3D Vision · 2016
297
cited
ObjectNet3D: A Large Scale Database for 3D Object Recognition
European Conference on Computer Vision · 2016
293
cited
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
International Conference on Learning Representations · 2023
283
cited
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