activity
20222025
most citedEPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment

Jinhee Kim, Taesung Kim, Taewoo Kim +5

In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to predict this potential by identi…

cs.CV2025

Good Noise Makes Good Edits: A Training-Free Diffusion-Based Video Editing with Image and Text Prompts

Saemee Choi, Sohyun Jeong, Hyojin Jang +2

We propose VINO, the first zero-shot, training-free video editing method conditioned on both image and text. Our approach introduces -start sampling and dilated dual masking to…

cs.CV2024

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision

Jinhee Kim, Taesung Kim, Jaegul Choo

Recent advances in interactive keypoint estimation methods have enhanced accuracy while minimizing user intervention. However, these methods require user input for error correction…

cs.LG2024★ 1 cited

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

Jinhee Kim, Taesung Kim, Jaegul Choo

Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across diverse applications. In this work, we explore the effectiveness of LLMs for gener…

cs.CV2022

Morphology-Aware Interactive Keypoint Estimation

Jinhee Kim, Taesung Kim, Taewoo Kim +5

Diagnosis based on medical images, such as X-ray images, often involves manual annotation of anatomical keypoints. However, this process involves significant human efforts and can…