Sotabase

Career

· Assistant Professor of Computer Science and Robotics, Carnegie Mellon University2020–
· Research Scientist, Adobe Research2019–2020
· Postdoctoral Researcher, MIT CSAIL2018–2019
· PhD in Computer Science, University of California, Berkeley2013–2017
· PhD Student, University of California, Berkeley2013–2017
· B.E., Tsinghua University2012–
· BE in Computer Science and Technology, Tsinghua University2008–2012

Publications (185)

Image-to-Image Translation with Conditional Adversarial Networks
Computer Vision and Pattern Recognition · 2016
21,606
cited
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
IEEE International Conference on Computer Vision · 2017
5,618
cited
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
International Conference on Machine Learning · 2017
3,194
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
Toward Multimodal Image-to-Image Translation
Neural Information Processing Systems · 2017
1,425
cited
Multi-Concept Customization of Text-to-Image Diffusion
Computer Vision and Pattern Recognition · 2022
1,183
cited
Generating Adversarial Examples with Adversarial Networks
International Joint Conference on Artificial Intelligence · 2018
997
cited
Learning the signatures of the human grasp using a scalable tactile glove
Nature · 2019
978
cited
Real-time user-guided image colorization with learned deep priors
ACM Transactions on Graphics · 2017
618
cited
Spatially Transformed Adversarial Examples
International Conference on Learning Representations · 2018
559
cited
State of the Art on Neural Rendering
Computer graphics forum (Print) · 2020
514
cited
Dataset Distillation by Matching Training Trajectories
Computer Vision and Pattern Recognition · 2022
510
cited
Understanding the role of individual units in a deep neural network
Proceedings of the National Academy of Sciences of the United States of America · 2020
499
cited
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
International Conference on Learning Representations · 2018
495
cited
Semantic photo manipulation with a generative image prior
ACM Transactions on Graphics · 2019
364
cited
Seeing What a GAN Cannot Generate
IEEE International Conference on Computer Vision · 2019
336
cited
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
arXiv.org · 2021
334
cited
Dataset Distillation
arXiv.org · 2018
329
cited
The evolution and pathogenic mechanisms of the rice sheath blight pathogen
Nature Communications · 2013
327
cited
Ablating Concepts in Text-to-Image Diffusion Models
IEEE International Conference on Computer Vision · 2023
288
cited
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