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Joon-Young Lee

19 papers hereh-index 161.4k citations30 works total

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

author position
  • middle author17
  • last author2

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.LG2
  • cs.HC1
  • eess.IV1
same name
  • Joon-Young Lee — 27 papers, h 32
  • Joon-Young Lee — 10 papers, h 6
  • Joon-Young Lee — 8 papers, h 5
  • Joon-Young Lee — 5 papers, h 5
  • Joon-Young Lee — 4 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

activity
20182023
most citedVITA: Video Instance Segmentation via Object Token Association

40 citations · 60 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.HC2022★ 6 cited

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory…

cs.CV2022★ 2 cited

A Generalized Framework for Video Instance Segmentation

Miran Heo, Sukjun Hwang, Jeongseok Hyun +4

The handling of long videos with complex and occluded sequences has recently emerged as a new challenge in the video instance segmentation (VIS) community. However, existing method…

cs.CV2022

One-Trimap Video Matting

Hongje Seong, Seoung Wug Oh, Brian Price +2

Recent studies made great progress in video matting by extending the success of trimap-based image matting to the video domain. In this paper, we push this task toward a more pract…

cs.CV2022★ 40 cited

VITA: Video Instance Segmentation via Object Token Association

Miran Heo, Sukjun Hwang, Seoung Wug Oh +2

We introduce a novel paradigm for offline Video Instance Segmentation (VIS), based on the hypothesis that explicit object-oriented information can be a strong clue for understandin…

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