3 papers
cs.CV2026
Instruction-Free Tuning of Large Vision Language Models for Medical Instruction Following
Myeongkyun Kang, Soopil Kim, Xiaoxiao Li +1
Large vision language models (LVLMs) have demonstrated impressive performance across a wide range of tasks. These capabilities largely stem from visual instruction tuning, which fi…
cs.CV2026
LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray
Myeongkyun Kang, Yanting Yang, Xiaoxiao Li
Fine-grained representation learning is crucial for retrieval and phrase grounding in chest X-rays, where clinically relevant findings are often spatially confined. However, the la…
eess.IV2021
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing
Myeongkyun Kang, Philip Chikontwe, Miguel Luna +3
Following the pandemic outbreak, several works have proposed to diagnose COVID-19 with deep learning in computed tomography (CT); reporting performance on-par with experts. However…