• Publications
  • Influence

  • Junseok Kwon, Kyoung Mu Lee
  • Computer Science
  • IEEE Computer Society Conference on Computer…
  • 2010 (First Publication: 1 June 2010)
  • We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time. Our algorithm isContinue Reading
  • Junseok Kwon, Kyoung Mu Lee
  • Computer Science
  • International Conference on Computer Vision
  • 2011 (First Publication: 6 November 2011)
  • We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world tracking environmentContinue Reading
  • Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
  • Computer Science
  • IEEE/CVF Conference on Computer Vision and…
  • 2018 (First Publication: 20 November 2017)
  • Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3DContinue Reading