Paper-Csai

Learning When to Correct: Selective Calibration for Monocular Kinematics
WACV2027
IEEE/CVF Winter Conference on Applications of Computer Vision 2027
Undergraduate first-author research
인용 원본문서
Learning When to Correct: Selective Calibration for Monocular Kinematics
Biomarker-Aware Mixture-of-Experts for Device-Invariant Personalized Skin Diagnosis
ACCV2026
Asian Conference on Computer Vision 2026
인용 원본문서
Biomarker-Aware Mixture-of-Experts for Device-Invariant Personalized Skin Diagnosis
SFXGraph: Causal-Compositional Graph Learning for Stylized Sound Effects in Webtoons
ACCV2026
Asian Conference on Computer Vision 2026
인용 원본문서
SFXGraph: Causal-Compositional Graph Learning for Stylized Sound Effects in Webtoons
Semantic Line Diffusion: Character-Consistent Line Art from Text-Annotated Storyboards
ECCV2026
European Conference on Computer Vision 2026
인용
Semantic Line Diffusion: Character-Consistent Line Art from Text-Annotated Storyboards
Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
MICCAI 2026 Early Accept; Top 9%
Medical Image Computing and Computer Assisted Intervention 2026
,,Jae Youn Hwang,Jong-Hye Woo
Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation
MICCAI 2026 Early Accept; Top 9%
Medical Image Computing and Computer Assisted Intervention 2026
,Jun-Young Kim,
Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation
PRIME: Ultra-Low-Rank Principal-Residual Model Merging
ACL 2026
Published: 2026.04.25 (Last Modified: 2026.04.25)
Seung-Ho Lee,,Bazarvaani Zuchi,Jeongmin Ahn,Insuk Seo,Donghyeon Jeon,Inho Kang,Seung-Hoon Na
인용 원본문서
PRIME: Ultra-Low-Rank Principal-Residual Model Merging
Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation
CVPR2026
Published: 2026.04.01 (Last Modified: 2026.04.25)
Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation
TCP: Context-Aware Pooling via Top-k% Activation Selection
AISTATS 2026 (Top AI & CV Conference)
Annual Conference on Artificial Intelligence and Statistics 2026
인용
TCP: Context-Aware Pooling via Top-k% Activation Selection
Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness
CHI 2026 (Top AI & CV Conference)
The ACM CHI conference on Human Factors in Computing Systems 2026
인용
Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness