3 papers
cs.CV2024
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays
Yeongjae Cho, Taehee Kim, Heejun Shin +2
Difference visual question answering (diff-VQA) is a challenging task that requires answering complex questions based on differences between a pair of images. This task is particul…
eess.IV2024
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
Heejun Shin, Taehee Kim, Jongho Lee +3
Cone beam computed tomography (CBCT) is an emerging medical imaging technique to visualize the internal anatomical structures of patients. During a CBCT scan, several projection im…
cs.CL2024
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model
Taehee Kim, Yeongjae Cho, Heejun Shin +2
Visual question answering (VQA) is a task where an image is given, and a series of questions are asked about the image. To build an efficient VQA algorithm, a large amount of QA da…