most citedData-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

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cs.CV2026

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

Minjae Lee, Sungwoo Hur, Soojin Hwang +1

Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate subs…

cs.CV2025

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models

Dasol Choi, Jihwan Lee, Minjae Lee +1

While prior research on text-to-image generation has predominantly focused on biases in human depictions, demographic bias in generated objects remains relatively underexplored. We…