I’m Seongwon Lee, a researcher at ETRI. I received my Ph.D. and B.S. degrees in Electrical and Electronic Engineering from Yonsei University in 2023 and 2016, respectively, advised by Professor Euntai Kim.

I am interested in building algorithms and machines that can understand the world and communicate with humans. My research focuses on learning deep networks that can solve a wide range of problems using a few general interfaces.

πŸŽ‰ News

  • (Jan 2024) πŸ§‘πŸ»β€πŸ« Giving an invited talk about recent computer vision research trends @ Yonsei University. [slide]
  • (Oct 2023) πŸ§‘πŸ»β€πŸ« Giving an invited talk about image retrieval @ Jeonbuk National University. [slide]
  • (Aug 2023) πŸ“ƒ One paper has been accepted in BMVC 2023.
  • (Feb 2023) πŸ“ƒ One paper has been accepted at CVPR 2023.
  • (Nov 2022) πŸŽ‰ I won the Qualcomm Innovation Fellowship 2022.
  • (Oct 2022) πŸŽ‰ I won the Excellence Vision Research Award at the 1Λ’α΅— Yonsei AI Workshop.
  • (Mar 2022) πŸŽ‰ A paper titled β€œCorrelation Verification for Image Retrieval” has been selected for Oral presentation in CVPR 2022.
  • (Mar 2022) πŸ“ƒ Two papers have been accepted at CVPR 2022.
  • (Jul 2021) πŸ“ƒ One paper has been accepted at ICCV 2021.

πŸ“š Publications

Google Scholar full list

  • RoomNeRF: Representing Empty Room as Neural Radiance Fields for View Synthesis

    Mangyu Kong, Seongwon Lee, Euntai Kim
    The British Machine Vision Conference (BMVC) Nov, 2023
    [page] [paper] [supp] [poster] [video]

  • Revisiting Self-Similarity: Structural Embedding for Image Retrieval

    Seongwon Lee, Suhyeon Lee, Hongje Seong, Euntai Kim
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun, 2023
    [page] [paper] [supp] [poster] [video]Β Β 

  • Correlation Verification for Image Retrieval

    Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kim
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun, 2022
    Selected as an Oral Presentation (Oral Presentation Acceptance Rate: 342/8161 β‰ˆ 4.2%)
    Winner at Qualcomm Innovation Fellowship 2022
    Excellence Vision Research Award at 1Λ’α΅— Yonsei AI Workshop
    Encouragement Award at 2023-1 Graduate School of Yonsei University Thesis Award
    [page] [paper] [supp] [poster] [video] [slide] [arXiv]Β Β 

  • WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

    Suhyeon Lee, Hongje Seong, Seongwon Lee, Euntai Kim
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun, 2022
    Finalist at Qualcomm Innovation Fellowship 2022
    [page] [paper] [supp] [arXiv]Β Β 

  • Hierarchical Memory Matching Network for Video Object Segmentation

    Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim
    IEEE/CVF International Conference on Computer Vision (ICCV) Oct, 2021
    [page] [paper] [supp] [arXiv]Β Β 

πŸŽ– Honors and Awards

  • (Jul 2023) 2023-1 Graduate School of Yonsei University Thesis Award (2023)
    • Encouragement Award - Correlation Verification for Image Retrieval (CVPR 2022)
  • (Nov 2022) Qualcomm Innovation Fellowship 2022
    • Winner ($4,000) - Correlation Verification for Image Retrieval (CVPR 2022)
  • (Oct 2022) 1st Yonsei AI Workshop (2022)
    • Excellence Vision Research Award - Correlation Verification for Image Retrieval (CVPR 2022)

πŸ’Ό Projects

  • (Aug 2023 - Current) Development of AI Autonomy and Knowledge Enhancement for AI Agent Collaboration
    • Funding from Information & Communications Technology Promotion (IITP)
  • (Apr 2022 - Dec 2022) Development of Deep Learning-Based Fine-Matching Technology using ToF Depth Sensor
    • Funding from LG Electronics
  • (May 2021- Dec 2021) Development of Deep Learning-Based Image Retrieval Technology using ToF Depth Sensor
    • Funding from LG Electronics
  • (Apr 2020 - Feb 2021) Development of Front-Down SLAM Technology Based on ToF Depth Sensor
    • Funding from LG Electronics
  • (Apr 2019 - Dec 2019) Development of Depth Map Generation Technology using Continuous Stereo Images
    • Funding from Hyundai AutoEver
  • (Oct 2017 - Feb 2019) Development of Integration Module Technology for Localization and Autonomous Driving Control Based on Multi-modal Sensor for Wheel Drive Service Robot
    • Funding from Ministry of Trade, Industry and Energy (MOTIE)
  • (Oct 2016 - Oct 2017) Development of Robot Autonomous Driving Technology using Laser Scanner
    • Funding from Hitachi-LG Data Storage
  • (May 2016 - Apr 2020) Development of Robot Intelligence Technology for Mobility with Learning Capability toward Robust and Seamless Indoor and Outdoor Autonomous Navigation
    • Funding from Ministry of Trade, Industry and Energy (MOTIE)

πŸ’» Academic Services

  • Invited Talks
    • (Jan 2024) Recent Advances in Computer Vision: Foundation Models, Vision-Language Models and 3D Neural Representations [slide]
      • School of Electrical and Electronic Engineering, Yonsei University
    • (Oct 2023) Introduction to Image Retrieval: Local Features & beyond [slide]
      • Department of Electronic Engineering, Jeonbuk National University
  • Reviewer
    • Conference
      • IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)
      • European Conference on Computer Vision (ECCV)
      • IEEE/CVF International Conference on Computer Vision (ICCV)
      • IEEE International Conference on Robotics and Automation (ICRA)
      • IEEE International Conference on Robotics and Automation (IROS)
      • Asian Conference on Computer Vision (ACCV)
    • Journal
      • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
      • IEEE Transactions on Automation Science and Engineering (T-ASE)
      • International Journal of Control, Automation and Systems (IJCAS)