3 papers
eess.IV2025
Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining
YaÅar Utku Alçalar, Junno Yun, Mehmet Akçakaya
Diffusion/score-based models have recently emerged as powerful generative priors for solving inverse problems, including accelerated MRI reconstruction. While their flexibility all…
cs.CV2024
Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
Junno Yun, Mehmet Akçakaya
Infrared (IR) imaging is commonly used in various scenarios, including autonomous driving, fire safety and defense applications. Thus, semantic segmentation of such images is of gr…
cs.CV2024
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning
Hyung-Il Kim, Kimin Yun, Jun-Seok Yun +1
Recently, foundation models trained on massive datasets to adapt to a wide range of tasks have attracted considerable attention and are actively being explored within the computer…