most citedBefore We Trust Them: Decision-Making Failures in Navigation of Foundation Models

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cs.CV2026

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…

cs.CV2026

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…

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.CV2025

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…

cs.CV2025

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng +5

With the availability of egocentric 3D hand-object interaction datasets, there is increasing interest in developing unified models for hand-object pose estimation and action recogn…