About

I am a student in School of Electrical and Electronic Engineering at Yonsei University, currently pursuing Ph.D degree.

My research interests are machine learning and computer vision, mainly including local feature matching, image restoration, and network compression.

Education

• Joint course of M.S./Ph.D degrees in School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (2018-Present).
  • Supervised by Prof. Bumsub Ham in Computer Vision Lab.
• B.S. in School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (2012-2018).

Publications

• Network Quantization with Element-wise Gradient Scaling
  Junghyup Lee, Dohyung Kim, and Bumsub Ham.
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2021.
  [Paper] [Project Page]
• Learning Semantic Correspondence Exploiting an Object-level Prior
  Junghyup Lee*, Dohyung Kim*, Wonkyung Lee, and Bumsub Ham (*equal contribution).
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted.
  [Paper] [Project Page]
• Learning with Privileged Information for Efficient Image Super-Resolution
  Wonkyung Lee*, Junghyup Lee*, Dohyung Kim*, and Bumsub Ham (*equal contribution).
  in European Conference on Computer Vision (ECCV), Aug. 2020.
  [Paper] [Project Page]
• SFNet: Learning Object-aware Semantic Correspondence
  Junghyup Lee*, Dohyung Kim*, and Bumsub Ham (*equal contribution).
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral Presentation), Jun. 2019.
  [Paper] [Project Page]

Awards

• Gold Prize, 27th Samsung Humantech Paper Award, 2021.
• Excellence Award, Graduate Student Paper Contest in Yonsei University, 2020.
• Silver Prize, 25th Samsung Humantech Paper Award, 2019.

Scholarship

• Global Ph.D Fellowship from National Research Foundation of Korea (NRF), 2019-2023.

Patents

• Image Upscaling Appratus and Method Based on Learning with Privileged Information
  10-2020-0140601, KR, Oct. 2020. (Application)
• Quantizer and Quantization Method for Artificial Neural Network
  10-2020-0135673, KR, Oct. 2020. (Application)
• Quantizer for Artificial Neural Networks and Loss Backpropagation Method Thereof
  10-2020-0135662, KR, Oct. 2020. (Application)
• Semantic Matching Apparatus and Method
  10-2166117, KR, Oct. 2020. (Registration)

Domestic Presentations

• Poster Presentation (시멘틱 정합을 이용한 비디오 포즈 전파)
  32nd Workshop on Image Processing and Image Understanding (IPIU), Jan. 2020.
• Poster Presentation (SFNet: Learning Object-aware Semantic Correspondence)
  Samsung AI Forum (SAIF), Nov. 2019.
  Workshop on Frontiers of Electrical Engineering (FREE) in Yonsei University, Oct. 2019.
  Korean Conference on Computer Vision (KCCV), Jul. 2019.

Teaching Experience

• Teaching Assistant in School of Electrical and Electronic Engineering, Yonsei University
  Digital Image Processing (EEE5320), 2021-01.
  Random Process (EEE5110), 2020-01.
  Signal Processing Lab. (EEE4423), 2020-01.
  Smart Technology AIR (ENG2116), 2019-01.
  Signal Processing Lab. (EEE4423), 2019-01.
  Electrical and Electronic Engineering Experiments: Applications (EEE3313), 2018-02.
  Data Structure (EEE2020), 2018-01.