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 Lee, Hongje Seong, Suhyeon Lee, and Euntai Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
      Oral Presentation  
    arXiv Code
  2. WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
    Suhyeon Lee, Hongje Seong,  Seongwon Lee, and Euntai Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
    arXiv Code
  3. Hierarchical Memory Matching Network for Video Object Segmentation
    Hongje Seong, Seoung Wug Oh, Joon-Young Lee,  Seongwon Lee, Suhyeon Lee, and Euntai Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct, 2021
    arXiv Page Code