1 citations · 1 across the 8 of their papers we have counts for
8 papers
PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses
Minki Hong, Eunsoo Lee, Sohyun Park +1
Prompt design is a primary control interface for large language models (LLMs), yet standard evaluations largely reduce performance to answer correctness, obscuring why a prompt suc…
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…
VisDoT : Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought
Eunsoo Lee, Jeongwoo Lee, Minki Hong +2
Large vision-language models (LVLMs) struggle to reliably detect visual primitives in charts and align them with semantic representations, which severely limits their performance o…
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…
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…