Sotabase

Career

· Assistant Professor, Stanford University2020–
· Visiting Faculty Researcher, Google Research2019–2020
· PhD in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)2014–2019
· S.M. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)2014–2016
· Undergraduate Degrees in Computer Science and Economics, Tsinghua University

Publications (492)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Neural Information Processing Systems · 2016
2,085
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
Video Enhancement with Task-Oriented Flow
International Journal of Computer Vision · 2017
1,599
cited
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
Computer Vision and Pattern Recognition · 2020
936
cited
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
International Conference on Learning Representations · 2019
790
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
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Conference on Robot Learning · 2023
768
cited
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Neural Information Processing Systems · 2018
664
cited
3D Shape Generation and Completion through Point-Voxel Diffusion
IEEE International Conference on Computer Vision · 2021
646
cited
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
International Conference on Learning Representations · 2019
548
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
501
cited
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
International Conference on Learning Representations · 2018
437
cited
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Neural Information Processing Systems · 2017
435
cited
Deep multiple instance learning for image classification and auto-annotation
Computer Vision and Pattern Recognition · 2015
429
cited
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Neural Information Processing Systems · 2016
417
cited
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Neural Information Processing Systems · 2015
387
cited
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
arXiv.org · 2021
334
cited
Ambient Sound Provides Supervision for Visual Learning
European Conference on Computer Vision · 2016
328
cited
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