Robot Vision Lab
Seoul National University
Robot Vision Lab
Seoul National University
We work on various problems in geometric and semantic computer vision and machine learning, with applications to mobile robots, automotives, and augmented/virtual reality.
Some of the current research topics are listed below.
We work on various problems in geometric and semantic computer vision and machine learning, with applications to mobile robots, automotives, and augmented/virtual reality.
Some of the current research topics are listed below.
Geometric vision:
Geometric vision:
- Visual SLAM (Simultaneous Localization and Mapping)
- Visual Inertial Odometry
- Multi-view Stereo Depth Estimation
- Large-scale 3D Reconstruction
Semantic vision:
Semantic vision:
- Visual Tracking of Single/Multiple Objects
- Semantic Scene Segmentation
- Scene Understanding for Autonomous Vehicles
News
News
- Collaboration work with prof. Ayoung Kim on the camera calibration method for thermal cameras is accepted at CVPR 2024.
- Gramian Attention paper co-authored by prof. Jongbin Ryu and dr. Dongyoon Han is accepted at ICCV 2023.
- Prof. Lim moved to the Department of Mechanical Engineering, Seoul National University. Sep.2023.
- One paper accepted at BMVC, 2023.
- Prof. Lim received the Longuet-Higgins Prize at CVPR 2023. The Longuet-Higgins Prize is a test-of-time award that is given to the most influential paper published at CVPR 2013 - ten years ago. [read more]
- One paper accepted at WACV, 2023.
- One paper accepted at IROS, 2022.
- OmniSLAM, our ICRA20 paper, nominated for the finalist of the Best Paper Award in Robot Vision!