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researcher

K. Kim

26 papers hereh-index 273.8k citations71 works total

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

author position
  • first author6
  • middle author16
  • last author4

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.LG5
same name
  • K. Kim — 186 papers, h 43
  • K. Kim — 165 papers, h 15
  • K. Kim — 98 papers, h 44
  • K. Kim — 61 papers, h 43
  • K. Kim — 41 papers, h 23
  • K. Kim — 29 papers, h 14

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
20162023
most citedUnsupervised Attention-guided Image to Image Translation

267 citations · 370 across the 23 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 2 cited

Real-time Online Action Detection Forests using Spatio-temporal Contexts

Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

Online action detection (OAD) is challenging since 1) robust yet computationally expensive features cannot be straightforwardly used due to the real-time processing requirements an…

cs.CV2016★ 15 cited

Context-guided diffusion for label propagation on graphs

Kwang In Kim, James Tompkin, Hanspeter Pfister +1

Existing approaches for diffusion on graphs, e.g., for label propagation, are mainly focused on isotropic diffusion, which is induced by the commonly-used graph Laplacian regulariz…

cs.CV2016★ 5 cited

Semi-supervised Learning with Explicit Relationship Regularization

Kwang In Kim, James Tompkin, Hanspeter Pfister +1

In many learning tasks, the structure of the target space of a function holds rich information about the relationships between evaluations of functions on different data points. Ex…

cs.CV2016★ 4 cited

Local High-order Regularization on Data Manifolds

Kwang In Kim, James Tompkin, Hanspeter Pfister +1

The common graph Laplacian regularizer is well-established in semi-supervised learning and spectral dimensionality reduction. However, as a first-order regularizer, it can lead to…

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