📰 Lab News & Updates
(July 2024) 🎉🎉🎉 A huge congratulations to Min-Woo Tae (2nd author) on the acceptance of paper, "Uncertainty-aware ensemble model for stride length estimation in gait analysis" for the publication in Expert System in Application.
(July 2024) 🎉🎉🎉 A huge congratulations to Jeong-Ho Lee on the acceptance of his paper, "Enhancing 3D hand pose estimation using SHaF: synthetic hand dataset including a forearm" for the publication in Applied Intelligence.
(July 2024) Yoo-Seok Oh joins MLPA lab! Welcome aboard, Yoo-Seok!
(July 2024) Da-Hun Chung joins MLPA lab! Welcome aboard, Da-Hun!
(March 2024) Jeong-Min Kim joins MLPA lab as short-term intern! Welcome aboard, Jeong-Min!
(August 2023) Min-seo Choi joins MLPA lab! Welcome aboard, Min-seo!
(July 2023) Ju-Yeol Yang joins MLPA lab! Welcome aboard, Ju-Yeol!
(June 2023) 🎉🎉🎉 A huge congratulations to Go-Eun Lee on the acceptance of her paper, "Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image" at MICCAI 2023.
(April 2023) 🎉🎉🎉 A huge congratulations to Jun-O Oh on the acceptance of his paper, "GazeCaps: Gaze Estimation with Self-Attention-Routed Capsule" at CVPR 2023 Gaze workshop.
📜Latest Published Papers
(2024) Selective denoising autoencoder for classification of noisy gas mixtures using 2D transition metal dichalcogenides. @Talanta
(2024) Shallow and reverse attention network for colon polyp segmentation. @Nature Scientific Reports
(2024) Uncertainty-aware ensemble model for stride length estimation in gait analysis. @Expert Systems with Applications
(2024) Enhancing 3D hand pose estimation using SHaF: synthetic hand dataset including a forearm. @Applied Intelligence
(2023) Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image. @MICCAI
🌏 International Joint Research Program
The International Joint Research Program, led by the MLPA Lab at Dankook University, is a collaborative research initiative focused on advancing computer vision-based AI and medical AI research. This program brings together prominent research teams from the University of British Columbia, University of Birmingham, University of Southern California, and California State University, Long Beach. By leveraging the expertise of each institution, the program aims to develop cutting-edge AI solutions with significant impacts on healthcare and medical imaging, emphasizing the power of global collaboration to drive innovation in AI technology and medical research.
Research Interest
