◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Minyoung Huh

10 papers hereh-index 112.3k citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedWhat makes ImageNet good for transfer learning?

306 citations · 371 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

Totems: Physical Objects for Verifying Visual Integrity

Jingwei Ma, Lucy Chai, Minyoung Huh +4

We introduce a new approach to image forensics: placing physical refractive objects, which we call totems, into a scene so as to protect any photograph taken of that scene. Totems…

cs.CV2020

Transforming and Projecting Images into Class-conditional Generative Networks

Minyoung Huh, Richard Zhang, Jun-Yan Zhu +2

We present a method for projecting an input image into the space of a class-conditional generative neural network. We propose a method that optimizes for transformation to countera…

cs.CV2018★ 1 cited

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

Minyoung Huh, Andrew Liu, Andrew Owens +1

Advances in photo editing and manipulation tools have made it significantly easier to create fake imagery. Learning to detect such manipulations, however, remains a challenging pro…

cs.CV2016★ 306 cited

What makes ImageNet good for transfer learning?

Minyoung Huh, Pulkit Agrawal, Alexei A. Efros

The tremendous success of ImageNet-trained deep features on a wide range of transfer tasks begs the question: what are the properties of the ImageNet dataset that are critical for…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.