Dave Epstein

According to our database, Dave Epstein authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disentangled 3D Scene Generation with Layout Learning.

Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Diffusion Self-Guidance for Controllable Image Generation.

Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

BlobGAN: Spatially Disentangled Scene Representations.

Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2022, 2022

Globetrotter: Connecting Languages by Connecting Images.

Dídac Surís, Dave Epstein, Carl Vondrick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Temporal Dynamics from Cycles in Narrated Video.

Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Goals From Failure.

Dave Epstein, Carl Vondrick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Globetrotter: Unsupervised Multilingual Translation from Visual Alignment.

Dídac Surís, Dave Epstein, Carl Vondrick

CoRR, 2020

Video Representations of Goals Emerge from Watching Failure.

Dave Epstein, Carl Vondrick

CoRR, 2020

Learning to Learn Words from Visual Scenes.

Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick

Proceedings of the Computer Vision - ECCV 2020, 2020

Oops! Predicting Unintentional Action in Video.

Dave Epstein, Boyuan Chen, Carl Vondrick

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Learn Words from Narrated Video.

Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick

CoRR, 2019

NEUZZ: Efficient Fuzzing with Neural Program Smoothing.

Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2018

NEUZZ: Efficient Fuzzing with Neural Program Learning.

Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana

CoRR, 2018