3 papers
cs.CV2026
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
Seohyoung Park, Jaeyeol Lim, Seoyoung Ju +3
Developing robust models to accurately predict the trajectories of surrounding agents is fundamental to autonomous driving safety. However, most public datasets, such as the Waymo…
cs.CV2026
MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning
Kyeonghun Kim, Hyeonseok Jung, Youngung Han +14
Training deep learning models for three-dimensional (3D) medical imaging, such as Computed Tomography (CT), is fundamentally challenged by the scarcity of labeled data. While pre-t…
cs.CV2026
FOSCU: Feasibility of Synthetic MRI Generation via Duo-Diffusion Models for Enhancement of 3D U-Nets in Hepatic Segmentation
Youngung Han, Kyeonghun Kim, Seoyoung Ju +8
Medical image segmentation faces fundamental challenges including restricted access, costly annotation, and data shortage to clinical datasets through Picture Archiving and Communi…