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Changick Kim

42 papers hereh-index 407.2k citations244 works total

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

author position
  • middle author2
  • last author40

Across the 42 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CV38
  • eess.IV2
  • cs.CR1
  • cs.LG1
same name
  • Changick Kim — 12 papers, h 6
  • Changick Kim — 12 papers, h 6
  • Changick Kim — 10 papers, h 7
  • Changick Kim — 8 papers, h 2
  • Changick Kim — 7 papers, h 7
  • Changick Kim — 3 papers, h 1

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

activity
20172023
most citedLearning JPEG Compression Artifacts for Image Manipulation Detection and Localization

214 citations · 712 across the 42 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation

Hansol Kim, Youngjun Kwak, Minyoung Jung +3

Federated learning (FL) is a promising approach for enhancing data privacy preservation, particularly for authentication systems. However, limited round communications, scarce repr…

cs.CV2023

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup

Junyoung Byun, Myung-Joon Kwon, Seungju Cho +2

Deep neural networks are widely known to be susceptible to adversarial examples, which can cause incorrect predictions through subtle input modifications. These adversarial example…

cs.CV2023

Sketch-based Video Object Localization

Sangmin Woo, So-Yeong Jeon, Jinyoung Park +3

We introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch. We first outline the c…

cs.CV2023

Liveness score-based regression neural networks for face anti-spoofing

Youngjun Kwak, Minyoung Jung, Hunjae Yoo +2

Previous anti-spoofing methods have used either pseudo maps or user-defined labels, and the performance of each approach depends on the accuracy of the third party networks generat…

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