Youngeun Kim (김영은)

Tel: +82-42-350-7521

E-Mail: youngeunkim[at]kaist.ac.kr


Education

  • 2018.3 - Present M.S. (Dept. of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea
  • 2012.3 - 2018.2 B.S. (Dept. of Electronic Engineering), Sogang University, South Korea


Research Interests

  • Image Segmentation
  • Video Segmentation
  • One-shot Learning


Publications

  • Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, and Changick Kim, "RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation," Accepted to Winter Conference on Applications of Computer Vision (WACV), Colorado, USA, Mar. 2-5, 2020.
  • Seunghan Yang, Yoonhyung Kim, Youngeun Kim, and Changick Kim, "Combinational Class Activation Maps for Weakly Supervised Object Localization," Accepted to Winter Conference on Applications of Computer Vision (WACV), Colorado, USA, Mar. 2-5, 2020.
  • Hankyeol Lee, Seokeon Choi, Youngeun Kim, and Changick Kim, "Bilinear Siamese Networks with Background Suppression for Visual Object Tracking,"in Proc. British Machine Vision Conference (BMVC), Cardiff, UK, Sep. 9-12, 2019.
  • Youngeun Kim*, Seunghyeon Kim*, Taekyung Kim, and Changick Kim, "CNN-based Semantic Segmentation Using Level Set Loss", in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, Jan. 8-10, 2019. (* These two authors contributed equally)
  • Youngeun Kim, Taekyung Kim, Seunghyeon Kim, and Changick Kim, "Weakly Supervised Semantic Segmentation Using Color Adjacency Loss," in Proc. IEEE International Conference on Visual Communications and Image Processing (VCIP), Taichung, Taiwan, Dec. 9-12, 2018.
  • 김영은, 김창익, "계층적 갈래 분기 특징 학습을 이용한 이미지 세부 분류 기법," 제29회 신호처리합동학술대회, pp. 110-113, KAIST 대전, Sep. 26-27, 2019.
  • 김영은, 이혁재, 박형섭, 유광선, 김창익, "딥러닝을 이용한 인공위성영상의 토지피복지도 생성기술," 한국방송미디어공학회 하계학술대회, 한라컨벤션센터, Jun 19-21, 2019
  • 양승한, 김영은, 김창익, "그래프 합성곱 신경망을 이용한 부분 도메인 적응 기법," 대한전자공학회 추계학술대회, 라카이 샌드파인 리조트(강원도 강릉시), Nov. 22-23, 2019.