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dave epstein
Dave Epstein.
Toggle dark mode. Scholar. CV. Meow. Pixels. dave (at) eecs.berkeley.edu.
I am a member of technical staff on the pre-training team at Anthropic. I received my PhD from UC Berkeley, advised by Alexei Efros and supported by the PD Soros Fellowship.
Before that, I studied computer science at Columbia, where I worked with Carl Vondrick. My interests are in multimodal generative modeling.
Research.
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Disentangled 3D Scene Generation with Layout Learning.
Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski.
PaperProject page
ICML 2024. -
Diffusion Self-Guidance for Controllable Image Generation.
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski.
PaperProject page Talk Demo
NeurIPS 2023. -
BlobGAN: Spatially Disentangled Scene Representations. NEW!
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros.
PaperProject page Talk Code Demo
ECCV 2022. -
Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. NEW!
Didac Suris, Dave Epstein, Carl Vondrick.
PaperProject page
CVPR 2022 (Oral). -
Learning Temporal Dynamics from Cycles in Narrated Video.
Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun.
PaperProject Page Talk Blogpost
ICCV 2021. -
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Learning to Learn Words from Visual Scenes.
Didac Suris*, Dave Epstein*, Heng Ji, Shih-Fu Chang, Carl Vondrick
PaperProject pageTalk
ECCV 2020. -
Oops! Predicting Unintentional Action in Video.
Dave Epstein, Boyuan Chen, Carl Vondrick.
PaperProject PageTalk
CVPR 2020.