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cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
Zahid Ullah, Minki Hong, Tahir Mahmood +1
Deep learning has become a powerful tool for medical image analysis; however, conventional Convolutional Neural Networks (CNNs) often fail to capture the fine-grained and complex f…