1 citations · 1 across the 7 of their papers we have counts for
8 papers
BBR-Net: Boundary-Balanced Replay for Continual Medical Image Segmentation
Zahid Ullah, Sieun Choi, Jihie Kim
Continual learning for medical image segmentation remains challenging under domain shift because replay-based methods often preserve appearance information without explicitly model…
Elderly-Contextual Data Augmentation via Speech Synthesis for Elderly ASR
Minsik Lee, Seoi Hong, Chongmin Lee +4
Despite recent progress in automatic speech recognition (ASR), elderly ASR (EASR) remains challenging due to limited training data and the distinct acoustic and linguistic characte…
SEA: Evaluating Sketch Abstraction Efficiency via Element-level Commonsense Visual Question Answering
Jiho Park, Sieun Choi, Jaeyoon Seo +3
A sketch is a distilled form of visual abstraction that conveys core concepts through simplified yet purposeful strokes while omitting extraneous detail. Despite its expressive pow…
Contour-Guided Query-Based Feature Fusion for Boundary-Aware and Generalizable Cardiac Ultrasound Segmentation
Zahid Ullah, Sieun Choi, Jihie Kim
Accurate cardiac ultrasound segmentation is essential for reliable assessment of ventricular function in intelligent healthcare systems. However, echocardiographic images are chall…
Toward Trustworthy Portrait Editing: Evaluation of Demographic Misrepresentation in I2I Models
Huichan Seo, Minki Hong, Sieun Choi +2
Instruction-guided image-to-image (I2I) editors are increasingly used in consumer and professional visual workflows, where trustworthiness depends not only on prompt compliance but…
Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models
Jua Han, Jaeyoon Seo, Jungbin Min +4
High success rates on navigation-related tasks do not necessarily translate into reliable decision making by foundation models. To examine this gap, we evaluate current models on s…
StableSketcher: Enhancing Diffusion Model for Pixel-based Sketch Generation via Visual Question Answering Feedback
Jiho Park, Sieun Choi, Jaeyoon Seo +1
Although recent advancements in diffusion models have significantly enriched the quality of generated images, challenges remain in synthesizing pixel-based human-drawn sketches, a…
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
Huichan Seo, Sieun Choi, Minki Hong +8
Generative image models produce striking visuals yet often misrepresent culture. Prior work has examined cultural bias mainly in text-to-image (T2I) systems, leaving image-to-image…