YOLO models based Bounding-Box Ensemble Method for Patient Detection In Homecare Place Image

Junhwi Park, Beomjun Kim, Inki Kim, Jeonghwan Gwak,* , in Proceedings of Korea Information Processing Society , November 3. 2022

Pothole Detection Method based on an Ensemble of Pretrained Deep Learning Models

Inki Kim, Bumjin Park, Beomjun Kim, Jeonghwan Gwak* , in Proceedings of the Korea Society of Internet Information Spring Conference , April 30, 2022 , Excellent Paper Award

Performance Analysis of Pothole Detection and Segmentation using Road Images based on Mask R-CNN

Beomjun Kim, Minjun Song, Inki Kim, Jeonghwan Gwak* , in Proceedings of the Korea Society of Internet Information Spring Conference , April 30, 2022

Attention U-Net Based Palm Line Segmentation for Biometrics

Inki Kim, Beomjun Kim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 89-92 , January 15 2022

A Palm Information-based Identity Recognition Deep Learning Model using a Multi-channel Image

Beomjun Kim, Inki Kim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 93-96 , January 15, 2022 , Excellent Paper Award

Mask detection technique in complex scenes using an ensemble of YOLO models

Xufeng Hu, Hyunseok Lim, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 97-98 , January 15, 2022

Anomaly Behavior Detection Method Using Mask R-CNN Based Aspect Ratio

Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 99-102 , January 15, 2022

Implementation of hand motion recognition-based rock-paper-scissors game using ResNet50 transfer learning

Changjoon Park, Changki Kim, Seongkyu Son, KyoungJin Lee, Heekyung Yoo, Jeonghwan Gwak* , Proceedings of the Korean Society of Computer Information Conference, pp. 77-80 , January 15, 2022

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