3 papers
cs.AI2026
Rationale-Guided Learning for Multimodal Emotion Recognition
Sujung Oh, Jung Uk Kim, Sangmin Lee
Multimodal emotion recognition in conversation (MERC) requires understanding complex interactions between verbal and non-verbal cues. However, most existing approaches fundamentall…
cs.CV2026
From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
Evren Ãetinkaya, Sangmin Lee, Jung Uk Kim +2
Visual prompting has emerged as a powerful method for adapting pre-trained models to new domains without updating model parameters. However, existing prompting methods typically op…
cs.CV2024
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
Joonhyeon Song, Seohwan Yun, Seongho Yoon +2
This work proposes a novel approach beyond supervised learning for effective pathological image analysis, addressing the challenge of limited robust labeled data. Pathological diag…