About me

I am a PhD student working on machine learning and computer vision at MIT CSAIL / Embodied Intelligence working with Phillip Isola and Pulkit Agrawal . I received my Bachelors from UC Berkeley advised under Alexei (Alyosha) Efros at Berkeley AI Research (BAIR). Prior to joining BAIR, I worked with Maysam Chamanzar and Michel Maharbiz at Swarm Lab.

My current research interest is in perception through time, emergence of behaviors + representation, and generative models. I am also interested in image synthesis and the theory of deep learning.

Selected publications

For a complete list of publications refer to my Google Scholar or here.

Transforming and Projecting Images into Class-conditional Generative Networks

ECCV 2020 (oral)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks

CVPR 2019
Minyoung Huh, Shao-Hua Sun, Ning Zhang

Detecting Malicious Image Manipulations via Learned Self-Consistency

ECCV 2018
Minyoung Huh, Andrew Liu*, Alexei A. Efros, Andrew Owens

Multi-view to Novel view: Synthesizing Views via Self-Learned Confidence

ECCV 2018
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim

What makes ImageNet good for Transfer Learning?

NeurIPS 2016 workshop
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros

Collaboartors (past & present)

Ive spent fortunate time as an intern at Adobe Research, Facebook Research and Snap Research.
Here is a non-exhaustive list of talented people that I have worked with in school and during internships that I would like to acknowledge for having to deal with me:


Fun little The New Yorker article on image generation that I participated in (very briefly).
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