Junhyug Noh
Scholar

Junhyug Noh

Google Scholar ID: VJgEpXEAAAAJ
Ewha Womans University
Computer VisionObject RecognitionWeakly Supervised LearningActive LearningMedical AI
Citations & Impact
All-time
Citations
992
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • - In October 2025, our team (with KAIST SGVR) won 1st place in the GroundedVQA track of Perception Test Challenge @ ICCV 2025.
  • - Multiple papers were accepted by NeurIPS 2025, Expert Systems with Applications (Q1), BMVC 2025, MICCAI 2025, ISMIR 2025, PUT Workshop @ ICML 2025 throughout 2025.
  • - Two papers were published in Kidney Research and Clinical Practice (Q1) from 2024 to 2025.
  • - One paper was published in Scientific Reports (Q1) in 2024, and another was accepted by ECCV 2024.
Research Experience
  • Involved in multiple research projects, particularly focusing on computer vision work such as image and video understanding.
Background
  • Research interests encompass weakly and semi-supervised learning, domain adaptation, robust learning, active learning, and multi-modal learning. Committed to creating AI technologies that adapt, learn, and thrive in the dynamic and often unpredictable landscape of real-world challenges.
Miscellany
  • Welcoming new graduate students; currently hiring G-LAMP postdoctoral researchers.