Welcome to the Computational Intelligence Laboratory (CILAB). We focus on advancing computer vision and its integration with robotics. Our mission is to develop cutting-edge technologies that enable machines to perceive, understand, and interact with the world through visual data. Our research covers a broad range of topics, including multimodal perception, 3D reconstruction, and image search and matching. By exploring these areas, we aim to create intelligent and adaptable robotic systems capable of performing complex tasks in real-world environments.
Join us as we push the boundaries of robotic intelligence through advancements in computer vision. We are committed to enhancing robot perception, enabling machines to interpret complex visual environments and interact with the physical world naturally and intuitively. Our work in visual processing, 3D understanding, and robot navigation strives to create systems that seamlessly integrate into human environments, performing tasks with precision and autonomy.
2026. 03. Our lab has been awarded a research grant from BStar Robotics for the project Vision-based Cargo and Cargo Label Recognition on Robots in Logistics Warehouse Environments.
2026. 03. Our lab has been awarded the NRF Young Researcher Program (Type B) grant from the Ministry of Science and ICT, supporting research on Vision-Language Navigation Agents via Cyclic Expansion of Web-Scale Video, Augmented Simulation, and the Real World through February 2029.
2026. 02. Two papers have been accepted to CVPR 2026.
2026. 01. One paper has been accepted to ICRA 2026.
2025. 09. One paper has been published in IEEE Transactions on Intelligent Vehicles (TIV) (IF: 14.0, JCR Top 2%).
2025. 06. Our lab has been awarded a research grant from Electronics and Telecommunications Research Institute (ETRI) for the project Development of Brain Signal Based Image Generation.
2025. 04. Our lab has been awarded a research grant from Korea Electronics Technology Institute (KETI) for the project Development of High-Fidelity Vehicle Representation via 3D Gaussian Splatting.
2025. 03. One paper has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.6, JCR Top 1%).
2025. 02. One paper has been accepted to ICRA 2025.
2024. 10. One paper has been accepted to IEEE Access (IF: 3.4, JCR Top 40%).
2024. 08. KMU CILAB is now open!
2023. 08. One paper has been accepted to BMVC 2023.
Computational Intelligence Laboratory
School of Electrical Engineering
College of Creative Engineering
Kookmin University
Future Hall 408, Kookmin University,
77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Korea
+82-2-910-4688
