1 citations · 1 across the 6 of their papers we have counts for
6 papers
SAM3Dual: A 3rd Place Solution to the MOSEv2 Track, 8th LSVOS Challenge
JeongRae Kim, Chaehyun Kim, Changwon Lim
We present SAM3Dual, our third-place solution to the MOSEv2 track of the 8th Large-scale Video Object Segmentation (LSVOS) Challenge at ECCV 2026. SAM3Dual is a training-free infer…
Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment
Yunseo Lee, Hyun Jun Kim, Heeseung Shin +1
Medical image captioning is a technique that accelerates early-stage diagnostic workflows and enhances the interpretability of medical diagnostic AI systems. However, unlike genera…
Clinically Structured Surrogate Rewards for Post-SFT Medical Image Captioning
Hyun Jun Kim, Heeseung Shin, Changwon Lim
Medical image captioning requires translating heterogeneous visual evidence into concise clinical descriptions, where errors in findings, assertion states, or anatomical relations…
SAM2Dual: Training-Free, Dual Memory for Long-Term Video Object Segmentation
JeongRae Kim, Changwon Lim
Long-term video object segmentation (VOS) remains challenging due to error accumulation under extended occlusions, re-appearance, and scene changes. Although SAM2 provides strong z…
Continuity-Driven Representation Learning for Industrial Defect Detection
Minjong Kim, Hyun Jun Kim, Jeongrae Kim +2
Industrial defect detection differs from natural-image object detection because inspection images are captured under controlled conditions and contain large normal-dominant regions…
Comparing effectiveness of regularization methods on text classification: Simple and complex model in data shortage situation
Jongga Lee, Jaeseung Yim, Seohee Park +1
Text classification is the task of assigning a document to a predefined class. However, it is expensive to acquire enough labeled documents or to label them. In this paper, we stud…