Dave Epstein.
Toggle dark mode. Scholar. CV. Pixels. dave [at] eecs.berkeley.edu.
I am a member of technical staff 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. -
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.
Teaching.
At Columbia.
Advanced Computer
Vision (Spring 2019).
Head Teaching Assistant.
Head Teaching Assistant.
Data Structures and Algorithms (Fall 2017 - Summer 2019).
Head Teaching Assistant.
Head Teaching Assistant.