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Spatial Intelligence Lab.
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The Spatial Intelligence Lab at Chung-Ang University (CAU) advances research and education in computer science and artificial intelligence, focusing on 3D vision, machine learning, robotics, and multi-modal large language models (LLMs), aiming to augment human capabilities/intelligence.
Research Interest
focuses on building robust methods to understand and reconstruct the 3D world from visual data.
how visual and textual information can be integrated to build powerful visual foundation models, and its’ applications.
incorporate invariance and equivariance principles into modern deep learning systems.
aims to integrate computer vision, spatial reasoning, and machine learning to enable physically embodied AI systems.
how advances in computer vision and multi-modal learning can be deployed in real-world systems such as AR/VR and autonomous driving.
Latest Preprints & Research
(2025).
Exaone 4.0 VL: Vision-Language Foundation Model for Enterprise AI Agent.
LG AI Talk Concert 2025.
(2024).
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction.
In NeurIPS 2024.
(2023).
Learning Rotation-Equivariant Features for Visual Correspondence.
In CVPR 2023.
(2022).
Self-Supervised Equivariant Learning for Oriented Keypoint Detection.
In CVPR 2022.
(2021).
Self-supervised Learning of Image Scale and Orientation Estimation.
In BMVC 2021.