activity
20202026
most citedLarge-scale Text-to-Image Generation Models for Visual Artists' Creative Works

181 citations · 310 across the 26 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.HC2024

Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation

Minsuk Chang, Soohyun Lee, Aeri Cho +4

We introduce a novel crowdsourcing method for identifying important areas in graphical images through punch-hole labeling. Traditional methods, such as gaze trackers and mouse-base…

cs.HC2024

PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets

Jaeyoung Kim, Sihyeon Lee, Hyeon Jeon +4

Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes. However, the intricate and irregular nature of clinical data associated with acute stroke,…

cs.HC2024

Offsetting Perceptual Bias in Visual Clustering: The Role of Point Size Adjustment in Variable Display Sizes

Taehyun Yang, Hyeon Jeon, Jinwook Seo

Scatterplots are frequently shared across different displays in collaborative and communicative visual analytics. However, variations in displays diversify scatterplot sizes. Such…

cs.HC2024

Combinational Nonuniform Timeslicing of Dynamic Networks

Seokweon Jung, DongHwa Shin, Hyeon Jeon +1

Dynamic networks represent the complex and evolving interrelationships between real-world entities. Given the scale and variability of these networks, finding an optimal slicing in…

cs.CV2024

Extracting Human Attention through Crowdsourced Patch Labeling

Minsuk Chang, Seokhyeon Park, Hyeon Jeon +3

In image classification, a significant problem arises from bias in the datasets. When it contains only specific types of images, the classifier begins to rely on shortcuts - simpli…

cs.HC2024★ 1 cited

CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models

Juhye Ha, Hyeon Jeon, DaEun Han +2

Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. How…