Iām 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.
š Selected Publications
Google Scholar full list, * denotes corresponding author
RayOcc: Occlusion-Agnostic Ray Occupancy Estimation via Gaussian Mixture Intensity
Junho Kim, Seongwon Lee*
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026
VG3T: Visual Geometry Grounded Gaussian Transformer
Junho Kim, Seongwon Lee*
IEEE International Conference on Robotics and Automation (ICRA), Jun 2026
Location-Aware Transformer Network for Bird's Eye View Semantic Segmentation
Suhan Woo, Minseong Park, Youngjo Lee, Seongwon Lee, Euntai Kim*
Transactions on Intelligent Vehicles (TIV), Sep 2025
Correlation Verification for Image Retrieval and Its Memory Footprint Optimization
Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kim*
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Mar 2025
Language-only Efficient Prompt Learning for Zero-shot Composed Image Retrieval
Seongwon Lee, Yong-Ju Lee*
European Conference on Computer Vision Workshop (ECCVW (Green-FOMO Workshop)), Oct 2024
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, 4.2%)
Winner at Qualcomm Innovation Fellowship 2022
Excellence Vision Research Award at 1st Yonsei AI Workshop
Encouragement Award at 2023-1 Graduate School of Yonsei University Thesis Award
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
![[poster]](https://cvpr2023.thecvf.com/media/PosterPDFs/CVPR%202023/22752.png?t=1686640998.037478){kind=link}
š 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)
š¼ Projects
- (Jul 2026 - Jun 2029) Basic Research Laboratory for Next-Generation Hyper-Cognitive and Hyper-Adaptive Action Foundation Models
- Funding from Basic Research Laboratory (BRL) Program, National Research Foundation of Korea (NRF)
- (May 2026 - Nov 2026) Demonstration of Digital Twin Learning and Scene Composition Technologies Based on 3D Reconstruction
- Funding from Electronics and Telecommunications Research Institute (ETRI)
- (Mar 2026 - Present) Vision-based Cargo and Cargo Label Recognition on Robots in Logistics Warehouse Environments
- Funding from BStar Robotics
- (Mar 2026 - Present) Vision-Language Navigation Agents via Cyclic Expansion of Web-Scale Video, Augmented Simulation, and the Real World
- Funding from National Research Foundation of Korea (NRF)
- (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)
š 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/RSJ International Conference on Intelligent Robots and Systems (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