Iโm Seongwon Lee, a assistant professor at the School of Electrical Engineering at Kookmin University. I am currently the principal investigator of the Computational Intelligence Lab (CILAB). Previously, I was a researcher in the Visual Intelligence Laboratory at ETRI. Before that, 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.
๐ News
- (Sep 2025) ๐ง๐ปโ๐ซ Giving an invited talk about Neural Rendering: Creating Reality with AI @ Yonsei University.
- (Jul 2025) ๐ง๐ปโ๐ซ Giving an invited talk about Neural Rendering Using Vision and LiDAR and Its Application in Map Representation @ SOSLAB.
- (Jul 2025) ๐ง๐ปโ๐ซ Giving an invited talk about Recent Advances in Spatial AI: The Present and Future of Spatial Intelligence @ Gachon University.
- (Jun 2025) ๐ผ I have started a project related to 3D Reconstruction in collaboration with KETI.
- (Apr 2025) ๐ผ I have started a project related to Image Generation in collaboration with ETRI.
- (Apr 2025) ๐ง๐ปโ๐ซ Giving an invited talk about Neural Rendering: NeRF and 3D Gaussian Splatting @ KETI.
- (Mar 2025) ๐ง๐ปโ๐ซ Giving an invited talk about Match and Extend: Visual-Based Matching and 3D Reconstruction Technology @ ETRI.
- (Feb 2025) ๐ One paper has been accepted to ICRA 2025.
- (Nov 2024) ๐ One paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.6, JCR Top 1%).
- (Oct 2024) ๐ One paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TIV) (IF: 14.0, JCR Top 2%).
- (Oct 2024) ๐ One paper has been accepted to IEEE Access (IF: 3.4, JCR Top 40%).
- (Aug 2024) ๐ซ I am starting my assistant professorship in Kookmin University.
- (Jul 2024) ๐ One paper has been accepted to ECCVW 2024.
- (Jan 2024) ๐ง๐ปโ๐ซ Giving an invited talk about recent computer vision research trends @ Yonsei University. [slide]
- (Oct 2023) ๐ง๐ปโ๐ซ Giving an invited talk about image retrieval @ Jeonbuk National University. [slide]
- (Aug 2023) ๐ One paper has been accepted to BMVC 2023.
- (Feb 2023) ๐ One paper has been accepted to CVPR 2023.
- (Nov 2022) ๐ I won the Qualcomm Innovation Fellowship 2022.
- (Oct 2022) ๐ I won the Excellence Vision Research Award at the 1หขแต Yonsei AI Workshop.
- (Mar 2022) ๐ A paper titled โCorrelation Verification for Image Retrievalโ has been selected for Oral presentation in CVPR 2022.
- (Mar 2022) ๐ Two papers have been accepted to CVPR 2022.
- (Jul 2021) ๐ One paper has been accepted to ICCV 2021.
๐ Selected Publications
Google Scholar full list, โ denotes corresponding author
-
VG3T: Visual Geometry Grounded Gaussian Transformer
Junho Kim, Seongwon Leeโ
IEEE International Conference on Robotics and Automation (ICRA), 2026, Under reviewed
-
Fast Global Localization on Neural Radiance Field
Mangyu Kong, Jaewon Lee, Seongwon Leeโ , Euntai Kimโ
IEEE International Conference on Robotics and Automation (ICRA), May 2025
[arXiv]ย ย -
Correlation Verification for Image Retrieval and Its Memory Footprint Optimization
Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kimโ
Accepted, Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Nov 2024
[paper] -
Location-Aware Transformer Network for Birdโs Eye View Semantic Segmentation
Suhan Woo, Minseong Park, Youngjo Lee, Seongwon Lee, Euntai Kimโ
Accepted, Transactions on Intelligent Vehicles (TIV), Oct 2024
[paper] -
Language-only Efficient Prompt Learning for Zero-shot Composed Image Retrieval
Seongwon Lee, Yong-Ju Leeโ
European Conference on Computer Vision Workshop (ECCVW (Green-FOMO Workshop)), Oct 2024
-
RoomNeRF: Representing Empty Room as Neural Radiance Fields for View Synthesis
Mangyu Kong, Seongwon Lee, Euntai Kimโ
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 Kimโ
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
[page] [paper] [supp] [poster] [video]ย ย -
Correlation Verification for Image Retrieval
Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kimโ
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
Selected as an Oral Presentation (Oral Presentation Acceptance Rate: 342/8161 โ 4.2%)
Winner at Qualcomm Innovation Fellowship 2022
Excellence Vision Research Award at 1หขแต Yonsei AI Workshop
Encouragement Award at 2023-1 Graduate School of Yonsei University Thesis Award
[page] [paper] [supp] [poster] [video] [slide] [arXiv]ย ย -
WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
Suhyeon Lee, Hongje Seong, Seongwon Lee, Euntai Kimโ
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
Finalist at Qualcomm Innovation Fellowship 2022
[page] [paper] [supp] [arXiv]ย ย -
Hierarchical Memory Matching Network for Video Object Segmentation
Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kimโ
IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021
[page] [paper] [supp] [arXiv]ย ย
๐ 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)
๐ผ Projects
- (Apr 2025 - Nov 2025) Development of High-Fidelity Vehicle Representation via 3D Gaussian Splatting
- Funding from Korea Electronics Technology Institute (KETI)
- (Jun 2025 - Nov 2025) Development of Brain Signal Based Image Generation
- Funding from Electronics and Telecommunications Research Institute (ETRI)
- (Aug 2023 - Aug 2024) 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)
๐ป Academic Services
- Invited Talks
- (Sep 2025) Neural Rendering: Creating Reality with AI
- School of Electrical and Electronic Engineering, Yonsei University
- (Jul 2025) Neural Rendering Using Vision and LiDAR and Its Application in Map Representation
- SOSLAB
- (Jul 2025) Recent Advances in Computer Vision: Foundation Models, Vision-Language Models and 3D Neural Representations
- School of Computing, Gachon University
- (Apr 2025) Neural Rendering: NeRF and 3D Gaussian Splatting
- Korea Electronics Technology Institute (KETI)
- (Mar 2025) Match and Extend: Visual-Based Matching and 3D Reconstruction Technology
- Electronics and Telecommunications Research Institute (ETRI)
- (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
- (Sep 2025) Neural Rendering: Creating Reality with AI
- 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)
- Conference