RCV

RCV Lab at the UOS aims to develop Robust and Generalizable visual perception and learning systems.
Our research spans 3D vision, vision-language models (VLM), vision-language-action (VLA) models, and efficient adaptation of foundation models, with a focus on improving robustness and generalization across diverse environments.

• 3D Vision and Point Cloud Understanding

• Robust and Efficient Adaptation of Foundation Models

• Vision-Language-Action (VLA) and Multimodal Learning

• 3D Reconstruction and Novel View Synthesis

News

• Oct. 2026: Our two papers have been accepted at WACV 2027!

• Mar. 2026: Our paper has been accepted at ICPR 2026!

• Mar. 2026: Our paper has been accepted at TPAMI!

• Feb. 2026: Our paper has been accepted at CVPR 2026 Findings!

• Feb. 2026: Our paper has been accepted at Neurocomputing!

• Jan. 2026: Our paper has been accepted at ICRA 2026!

• Mar. 2025: Kyunggyu Lee joined our Lab!

• Oct. 2024: Our paper has been accepted at WACV 2025!

• Mar. 2024: Minsu Kwon joined our Lab!

• Sep. 2023: Jongwon Park joined our Lab!

• July. 2023: Our website has been renewed!

• Mar. 2023: Hankyeol Lee joined our Lab!

• Feb. 2023: Our paper has been accepted at CVPR 2023!

• Mar. 2022: Geunyoung Jung joined our Lab!