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📰 Lab News & Updates

(March 2026) Beom-Mo Kim joins MLPA lab! Welcome aboard, Beom-Mo!
(Jan 2026) Jong-Min Choi joins MLPA lab! Welcome aboard, Jong-Min!
(Sept 2025) Ho-Jun Lee joins MLPA lab! Welcome aboard, Ho-Jun!
(Feb 2025) Yeong-Hwan Kim joins MLPA lab! Welcome aboard, Yeong-Hwan!
(July 2024) 🎉🎉🎉 A huge congratulations to Min-Woo Tae 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!

📜Latest Published Papers

(2025) Roll Your Eyes: Gaze Redirection via Explicit 3D Eyeball Rotation @ ACM Multimedia 2025
(2025) LightHand99K: A Synthetic Dataset for Hand Pose Estimation With Wrist-Worn Cameras @ IEEE Access (vol 13)
(2025) Predicting acute kidney injury in trauma using extreme gradient boosting model: a temporal validation study. @Clinical Kidney Journal, sfaf002
(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

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