Sotabase

Career

· Assistant Professor, Technion - Israel Institute of Technology2023–
· Postdoctoral Researcher, Stanford University2019–2020
· Postdoctoral Researcher, Facebook AI Research (FAIR)2018–2019
· Postdoctoral Researcher, Technion2018–2018
· Ph.D., Electrical Engineering, Tel Aviv University2018–
· Visiting Scholar, Technische Universität München2016–2016
· Visiting Scholar, Duke University2014–
· M.Sc., Electrical Engineering, Tel Aviv University2012–
· B.Sc., Physics and Mathematics, Hebrew University2005–
· Senior Research Scientist, NVIDIA

Publications (95)

Deep Hough Voting for 3D Object Detection in Point Clouds
IEEE International Conference on Computer Vision · 2019
1,433
cited
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
European Conference on Computer Vision · 2020
758
cited
Neural Fields in Visual Computing and Beyond
Computer graphics forum (Print) · 2021
750
cited
LION: Latent Point Diffusion Models for 3D Shape Generation
Neural Information Processing Systems · 2022
630
cited
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Neural Information Processing Systems · 2022
563
cited
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
IEEE International Conference on Computer Vision · 2021
392
cited
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
IEEE International Conference on Computer Vision · 2017
321
cited
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
IEEE International Conference on Robotics and Automation · 2022
310
cited
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
Computer Vision and Pattern Recognition · 2020
289
cited
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
European Conference on Computer Vision · 2022
262
cited
Deformable Shape Completion with Graph Convolutional Autoencoders
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
237
cited
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
International Conference on Learning Representations · 2023
203
cited
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Computer Vision and Pattern Recognition · 2021
178
cited
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
International Conference on 3D Vision · 2021
173
cited
Unsupervised Learning of Dense Shape Correspondence
Computer Vision and Pattern Recognition · 2019
173
cited
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Computer Vision and Pattern Recognition · 2023
156
cited
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
Computer Vision and Pattern Recognition · 2020
145
cited
On Learning Sets of Symmetric Elements
International Conference on Machine Learning · 2020
144
cited
Efficient Deformable Shape Correspondence via Kernel Matching
International Conference on 3D Vision · 2017
125
cited
Fully Spectral Partial Shape Matching
Computer graphics forum (Print) · 2017
124
cited
Sotabase