About me

I have completed my Bachelors from UC Berkeley in 2016 with a research focus in computer vision, machine/deep learning and optimization. I am currently taking my gap year researching at BAIR. I have been very fortunate to work 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] I will be joining Carnegie Mellon University Robotics Institute for PhD in Robotics
[3/17] I will be joining Snap Research as a Research Intern over the summer.
[12/9] We presented our work on 'What makes ImageNet good for transfer learning?' at NIPS 2016 LSCVS workshop.


What makes ImageNet good for Transfer Learning?
Minyoung Huh , Pulkit Agrawal, Alexei A. Efros
NIPS 2016 LSVC / ICCV 2017 (in review)
[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 2017 (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


Small & cute projects

Understanding Captioning Networks via Computationally Altered Images
Minyoung Huh, Evan Yao, Samuel Kim
CS194-26 Final Project

Robust Optimization for Delivery Vehicle Forecasting
Minyoung Huh, Nanavati Low, Jay Reddy, Evan Yao
Amazon Collider Competition 2015
Best Top 3 proposals

Home Automation
Minyoung Huh, Jene Li, Michelle Nguyen
EECS 149 Final Project - Fall 2014


TA for EE16B - 2016 Spring
Tutor for CS189 - 2016 Spring / 2015 Fall