Minyoung Huh

According to our database, Minyoung Huh authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Training Neural Networks from Scratch with Parallel Low-Rank Adapters.

Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal

CoRR, 2024

2023

The Low-Rank Simplicity Bias in Deep Networks.

Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

Trans. Mach. Learn. Res., 2023

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola

Proceedings of the International Conference on Machine Learning, 2023

2022

Totems: Physical Objects for Verifying Visual Integrity.

Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning to Ground Multi-Agent Communication with Autoencoders.

Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola

CoRR, 2021

2020

Transforming and Projecting Images into Class-Conditional Generative Networks.

Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks.

Minyoung Huh, Shao-Hua Sun, Ning Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.

Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim

Proceedings of the Computer Vision - ECCV 2018, 2018

Fighting Fake News: Image Splice Detection via Learned Self-Consistency.

Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2018, 2018