Sanghyuk Lee (1994. 06. 25)

• Software Engineer at Qualcomm AI Research, Seoul, South Korea (2022 ~ )
• M.S. in Inha University, Incheon, South Korea (2020 ~ 2022)
  • Major in Electrical and Computer Engineering
  • Computer Vision and Image Processing Lab [homepage](<http://cvip.inha.ac.kr>)
  • Research on Deep Learning based Computer Vision
• B.S. in Inha University, Incheon, South Korea (2013 ~ 2020)
  • Major in Electronic Engineering
• Osung High School, Daegu, South Korea (2010 ~ 2013)

Research Interests

• Deep Learning
• Meta-Learning
• Model Compression

Programming

• Strong : Python Pytorch
• Knowledgeable : Tensorflow C++

Publications

• Contextual Gradient Scaling for Few-Shot Learning (WACV 2022) :: [paper](<https://arxiv.org/abs/2110.10353>) [code](<https://github.com/shlee625/CxGrad>) Sanghyuk Lee, Seunghyun Lee, and Byung Cheol Song
  • **abstract**
• SyRa: Synthesized Rain Images for Deraining Algorithms (preprint) :: [paper](<https://openreview.net/forum?id=uAQiKVEM3Um>) [**code**](<https://github.com/jaewoong1/SyRa-Synthesized_Rain_dataset>) Jaewoong Choi, Daeha Kim, Sanghyuk Lee, and Byung Cheol Song
  • **abstract**
• Channel Pruning via Gradient of Mutual Information for Light-Weight Convolutional Neural Networks (ICIP 2020) :: [paper](<https://ieeexplore.ieee.org/abstract/document/9190803>) Min Kyu Lee, Seunghyun Lee, Sanghyuk Lee, and Byung Cheol Song
  • **abstract**

Contact

Email : [email protected]

GitHub : https://github.com/shlee625

Google Scholar : author page

LinkedIn : https://linkedin.com/in/shlee625