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Minsu Cho

POSTECH CSE

60 papers hereh-index 4811.1k citations145 works total

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

author position
  • first author2
  • middle author24
  • last author33

Across the 59 of 60 papers where every author was matched, so the position is known.

fields
  • cs.CV52
  • cs.LG7
  • stat.ML1
affiliations
  • POSTECH CSE
Homepage
same name
  • Minsu Cho — 12 papers, h 11
  • Minsu Cho — 11 papers, h 4
  • Minsu Cho — 11 papers, h 5
  • Minsu Cho — 9 papers, h 5
  • Minsu Cho — 6 papers, h 3
  • Minsu Cho — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
computer vision 1image matching 1object discovery 1optimization 1unsupervised learning 1

From the 1 of 60 linked papers with an AI index.

activity
20152023
most citedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

121 citations · 457 across the 45 of their papers we have counts for

collaborators
Showing 2019 · cs.LGShow all

3 papers · 2 filters

cs.LG2019★ 5 cited

Mining GOLD Samples for Conditional GANs

Sangwoo Mo, Chiheon Kim, Sungwoong Kim +2

Conditional generative adversarial networks (cGANs) have gained a considerable attention in recent years due to its class-wise controllability and superior quality for complex gene…

cs.LG2019

Regularizing Neural Networks via Stochastic Branch Layers

Wonpyo Park, Paul Hongsuck Seo, Bohyung Han +1

We introduce a novel stochastic regularization technique for deep neural networks, which decomposes a layer into multiple branches with different parameters and merges stochastical…

cs.LG2019★ 99 cited

InstaGAN: Instance-aware Image-to-Image Translation

Sangwoo Mo, Minsu Cho, Jinwoo Shin

Unsupervised image-to-image translation has gained considerable attention due to the recent impressive progress based on generative adversarial networks (GANs). However, previous m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.