Seongwon Lee

seongwonlee.jpg

📧 won4113 [at] yonsei.ac.kr

📍 C607, 3rd Eng. Bldg, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea, 03722

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Ph. D. Candidate, Yonsei University.

I am a Ph.D. student advised by Professor Euntai Kim, at Electrical and Electronic Engineering, Yonsei University.

I am broadly interested in computer vision and mobile robotics. Specifically, my research interests include

  • Image Retrieval / Place Recognition
  • Image / Video Understanding
  • Unsupervised and Self-supervised Learning
  • Domain Adaptation / Generalization
  • Localization / Mapping / SLAM
but not limited to.

news

Mar 29, 2022 Paper titled “Correlation Verification for Image Retrieval” was selected for an oral presentation in CVPR 2022.
Mar 2, 2022 Two paper were accepted in CVPR 2022, New Orleans, United States.

selected publications

  1. Correlation Verification for Image Retrieval
    Seongwon LeeHongje SeongSuhyeon Lee, and Euntai Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
      Oral Presentation  
  2. WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
    Suhyeon LeeHongje SeongSeongwon Lee, and Euntai Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
  3. Hierarchical Memory Matching Network for Video Object Segmentation
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct, 2021