858 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Samsung (South Korea)KR16 papers
- Samsung Medical CenterKR3 papers
- Seoul National UniversityKR3 papers
- Korea Astronomy and Space Science InstituteKR2 papers
- Ulsan National Institute of Science and TechnologyKR2 papers
- Australian Centre for Robotic VisionAU1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing University of Chemical TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
- Christian Doppler Laboratory for ThermoelectricityAT1 paper
- City College of New YorkUS1 paper
3 papers · 1 filter
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe, Byoungjip Kim, Hoyoung Kang +5
The recent advances in representation learning inspire us to take on the challenging problem of unsupervised image classification tasks in a principled way. We propose ContraCluste…
DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents
Eun-Soo Jung, HyeongGwan Son, Kyusam Oh +3
We present a novel deep neural model for text detection in document images. For robust text detection in noisy scanned documents, the advantages of multi-task learning are adopted…
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…