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Youngseo Kim

6 papers hereh-index 555 citations22 works total

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

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
  • cs.RO1
same name
  • Youngseo Kim — 2 papers, h 10
  • Youngseo Kim — 2 papers, h 1
  • Youngseo Kim — 1 paper, h 16
  • Youngseo Kim — 1 paper, h 1
  • Youngseo Kim — 1 paper, h 0
  • Youngseo Kim — 1 paper, 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

activity
20232026
most citedSoundini: Sound-Guided Diffusion for Natural Video Editing

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

SoccerNet 2026 Challenges Results

Anthony Cioppa, Silvio Giancola, Håkan Ardö +102

The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…

cs.CV2024★ 1 cited

SoccerNet 2024 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +81

The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…

cs.CV2024

Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example

Kwan Yun, Youngseo Kim, Kwanggyoon Seo +2

We introduce DiffSketch, a method for generating a variety of stylized sketches from images. Our approach focuses on selecting representative features from the rich semantics of de…

cs.CV2023★ 3 cited

Soundini: Sound-Guided Diffusion for Natural Video Editing

Seung Hyun Lee, Sieun Kim, Innfarn Yoo +6

We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting. Animating the appearance of the visual effect is challenging beca…

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