G.Y. Lee (Garrick)
Scholar

G.Y. Lee (Garrick)

Google Scholar ID: OcKX7r0AAAAJ
Ph.D Candidate, Nanyang Technological University
Computer VisionMachine and Deep LearningRemote Sensing
Citations & Impact
All-time
Citations
50
 
H-index
4
 
i10-index
2
 
Publications
7
 
Co-authors
5
list available
Publications
7 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published paper 'WATT-EFFNet: A Wider ATTention EFFicientnet for Effective and Efficient Aerial Imagery Disaster Classification' and achieved SOTA performance on the AIDER dataset.
Research Experience
  • Applied contrastive learning for effective and efficient dehazing; proposed WATT-EffNet model for efficient classification of disaster images captured by UAVs.
Education
  • Ph.D. candidate, School of Electrical and Electronic Engineering (EEE) and Air Traffic Management Research Institute (ATMRI), Nanyang Technological University (NTU), Singapore.
Background
  • Ph.D. candidate in the School of Electrical and Electronic Engineering (EEE) and the Air Traffic Management Research Institute (ATMRI) at Nanyang Technological University (NTU), Singapore. Main research interests include computer vision and image processing, with a focus on addressing problems arising from low-data availability.
Miscellany
  • Runs a blog discussing various machine and deep learning ideas and principles; enjoys photography, as evidenced by a sunset photo taken in Kyoto, Japan.