About me

I am a PhD student at Carnegie Mellon University, advised by Professor Abhinav Gupta. I completed my Bachelors from UC Berkeley where I spent 2 fortunate years at BAIR, working with Pulkit Agrawal, Professor Alexei (Alyosha) Efros, Professor Trevor Darrell and Doctor Andrew Owens. Prior to joining BAIR, I worked with Professor Maysam Chamanzar and Professor Michel Maharbiz at Swarm Lab.

Recent news

[4/15/17] I will be joining Carnegie Mellon University Robotics Institute for a PhD in Robotics
[3/17/17] I will be joining Snap Research as a Research Intern over the summer.
[12/9/16] We presented our work on 'What makes ImageNet good for transfer learning?' at NIPS 2016 LSCVS workshop.


Detecting Malicious Image Manipulations via Learned Self-Consistency
Minyoung Huh, Andrew Liu, Alexei A. Efros, Andrew Owens
[Project Page]

Drawing with the Adversary: Image-to-Image Translation Using Feedback Adversarial Learning
Minyoung Huh, Shao-Hua Sun, Ning Zhang

What makes ImageNet good for Transfer Learning?
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros
[Project Page] [arXiv] [Github]

Ultrasonic sculpting of virtual, steerable optical waveguides in tissue
Maysam Chamanzar, Julien Bloch, Ninh Do, Minyoung Huh, Dongjin Seo,
Jillian Iafrati, Vikaas Sohal, Reza Alam, Michel Maharbiz
Nature Journal (in review)

Virtual steerable acousto-optic waveguides for non-invasive deep brain imaging and stimulation
Maysam Chamanzar, Ninh Do, Julien Bloch, Minyoung Huh, Reza Alam, Michel Maharbiz
Society for Neuroscience 2016

Virtual Acousto-optic Beam Paths for Steerable Deep-tissue Optical Stimulation and Imaging
Maysam Chamanzar, Minyoung Huh , Ninh Do, Reza Alam, Michel Maharbiz
CLEO 2015