A Crack Detection of Wooden Cultural Assets using EfficientNet Model

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 125-128 , July 15, 2021

An Ensemble Deep Learning Model for Measuring Displacement in Cultural Asset Images

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 141-144 , July 15, 2021

Anomaly Detection Performance Improvement Technique through Weight Matrix-based Optical Flow Equalization

Hyunseok Lim, Inki Kim, Jaeyong Kang, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 145-146 , July 15, 2021

An Embedding Similarity-based Deep Learning Model for Detecting Displacement in Cultural Asset Images

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference pp. 133-136 , July 15, 2021

A Displacement Detection Model in Cultural Asset Images using Object-centric Augmentation

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 137-140 , July 15, 2021

Architectural Cultural Heritage Crack Detection Techniques Using Object Detection

Inki Kim, Hyunseok Lim, Beomjun Kim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 649-652 , July 15, 2021

Dataset Augmentation Technique for Crack Detection of Wood Building

Beomjun Kim, Hyunseok Lim, Inki Kim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 645-648 , July 15, 2021

A Bulge Detection Model in Cultural Asset images using Ensemble of Deep Features

Jaeyong Kang, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 128-132 , July 15, 2021

An Algorithm for Detecting Deformation of Wooden Buildings using Straight Line Detection

Mingyu Kim, Xufeng Hu, Inki Kim, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 653-654 , July 15, 2021

An EEG-fNIRS Hybridization Technique in the Multi-class Classification of Alzheimer's Disease Facilitated by Machine Learning

Thi Kieu Khanh Ho, Inki Kim, Younghoon Jeon, Jong-In Song, Jeonghwan Gwak* , in Proceedings of the Korean Society of Computer Information Conference, pp. 305-307 , July 15, 2021 , Excellent Paper Award

Ensemble Knowledge Distillation for Classification of 14 Thorax Diseases using Chest X-ray Images

Thi Kieu Khanh Ho, Younghoon Jeon, Jeonghwan Gwak* , in Proceedings of the Korean Society of Computer Information Conference, pp. 313-315 , July 15, 2021

Gait Analysis and Machine Learning-based Classification Model using Smart Insole for Alzheimer's Disease Severity Classification

YoungHoon Jeon, Thi Kieu Khanh Ho, Jeonghwan Gwak*, Jong-In Song , in Proceedings of the Korean Society of Computer Information Conference, pp. 317-320 , July 15, 2021

Anomaly detection system using ResUNet++ based image inpainting method

Jaeyong Kang, Hyunseok Lim, Dongwook Min, Zahid Ullah, Jeonghwan Gwak* , in Proceedings of Next Generation Computing Conference 2021 , Gwangju, Korea, May 5, 2021 , Best Paper Award

Embedding similarity-based crowd anomaly detection using object centric augmentation

Jaeyong Kang, Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak* , in Proceedings of Next Generation Computing Conference 2021 , Gwangju, Korea, May 5, 2021

Effective data preprocessing for a reconstruction model-based anomaly detection

Jaeyong Kang, Hyunseok Lim, Inki Kim, Zahid Ullah, Jeonghwan Gwak* , in Proceedings of Next Generation Computing Conference 2021 , Gwangju, Korea, May 5, 2021