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Career

· Research Scientist, OpenAI2023–
· Machine Learning Engineer, Tesla2023–2025
· Staff Research Scientist and Manager, Waymo2022–2024
· Senior Research Scientist, Waymo2019–2022
· Postdoctoral Researcher, Facebook AI Research (FAIR)2018–2019
· Doctor of Philosophy (PhD) in Electrical Engineering, Stanford University2013–2018
· Bachelor of Engineering (B.Eng.), Tsinghua University2009–2013

Publications (44)

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
KPConv: Flexible and Deformable Convolution for Point Clouds
IEEE International Conference on Computer Vision · 2019
3,037
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
Deep Hough Voting for 3D Object Detection in Point Clouds
IEEE International Conference on Computer Vision · 2019
1,433
cited
Deep Learning on Point Sets for 3 D Classification and Segmentation
2016
854
cited
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
European Conference on Computer Vision · 2020
758
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
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
IEEE International Conference on Computer Vision · 2021
742
cited
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
Computer Vision and Pattern Recognition · 2016
658
cited
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Computer Vision and Pattern Recognition · 2018
537
cited
Generating 3D Adversarial Point Clouds
Computer Vision and Pattern Recognition · 2018
355
cited
FPNN: Field Probing Neural Networks for 3D Data
Neural Information Processing Systems · 2016
301
cited
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
Computer Vision and Pattern Recognition · 2020
289
cited
Joint embeddings of shapes and images via CNN image purification
ACM Transactions on Graphics · 2015
204
cited
Offboard 3D Object Detection from Point Cloud Sequences
Computer Vision and Pattern Recognition · 2021
202
cited
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Computer Vision and Pattern Recognition · 2022
185
cited
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
IEEE International Conference on Computer Vision · 2021
168
cited
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
International Conference on Machine Learning · 2018
128
cited
Sotabase
Charles R. Qi | Researcher Profile | Sotabase | Sotabase