Hello, I study machine learning and computer vision.

My research goal is to design machines to learn and understand the world like humans.
It leads me to think about follow-up researches: 1. Data- and Label-efficient learning 2. Learning from noisy labels 3. Depth estimation and 3D scene understanding

News

• (07/2022) Our paper accepted at ECCV 2022.
• (06/2020) Our paper accepted at CVPR 2020 workshop.
• (06/2020) Our team won 1st and 2nd place in WSOL and WSSS at LID challenge.
• (07/2019) Our paper accepted at ICCV 2019.

Publications

• Object Discovery via Contrastive Learning for Weakly Supervised Object Detection.
  Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh^*, Daijin Kim^*
  ECCV 2022 - paper | project page | code
  

• Revisiting Class Activation Mapping for Learning from Imperfect Data.
  Wonho Bae^*, Junhyug Noh^*, Jinhwan Seo, Gunhee Kim
  CVPRW 2020 - paper
  

• Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection.
  Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim
  ICCV 2019 - paper
  

Awards

• Winner of LID Challenge - WSOL (1st) and WSSS (2nd)