3 papers
cs.RO2026
AdaVLA: Adaptive Step Flow Matching for Training-free Acceleration of Vision-Language-Action Models
Sunghwan Han, Youngtae Han, Youngmin Yi
Vision-Language-Action (VLA) models, built upon Vision-Language Models (VLMs), have significantly enhanced robotic capabilities by leveraging internet-scale knowledge and multimoda…
cs.CV2026
DSD-GS: Dynamic-Static Decomposition of Gaussian Splatting for Efficient and High-Fidelity Dynamic Scene Reconstruction
Youngtae Han, Sung-hwan Han, Youngmin Yi
Dynamic scene reconstruction and novel view synthesis are fundamental to next-generation visual intelligence applications such as virtual reality, robotics, and digital twins. Howe…
cs.CV2025
Adaptive Camera Sensor for Vision Models
Eunsu Baek, Sunghwan Han, Taesik Gong +1
Domain shift remains a persistent challenge in deep-learning-based computer vision, often requiring extensive model modifications or large labeled datasets to address. Inspired by…