An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing - Han Chang Lee; Byeong Hak Kim; Jong Pil Yun; Gyu Man Kim; Woojin Kim; Hong-In Won (IEEE Access, 2025)

Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images - Taehan Lee; Woosang Shin; Jong-Hyeon Lee; Sangmoon Lee; Han-Gyeol Yeom; Jong Pil Yun (Comput. Medical Imaging Graph., 2024)

Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data - Hyeyeon Choi; Jong Pil Yun; Bum Jun Kim; Hyeonah Jang; WooSang Shin; Sang Woo Kim (J. Ind. Inf. Integr., 2024)

Deep Feature Selection Framework for Quality Prediction in Injection Molding Process - Iljeok Kim; Juwon Na; Jong Pil Yun; Seungchul Lee (IEEE Trans. Ind. Informatics, 2024)

Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models - Minseon Gwak; Min Su Kim; Jong Pil Yun; PooGyeon Park (IEEE Trans. Ind. Informatics, 2023)

Anomaly Detection using Score-based Perturbation Resilience - Woosang Shin; Jonghyeon Lee; Taehan Lee; Sangmoon Lee; Jong Pil Yun (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection - Hyeyeon Choi; Jong Pil Yun; Bum Jun Kim; Hyeonah Jang; Sang Woo Kim (IEEE Trans. Ind. Informatics, 2022)

Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals - Min Su Kim; Jong Pil Yun; PooGyeon Park (IEEE Trans. Ind. Informatics, 2022)

An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map - Min Su Kim; Jong Pil Yun; PooGyeon Park (IEEE Access, 2021)

Automatic Brittle Fracture Ratio Estimation Using Convolutional Neural Network Regression Based on Classmap Regulation - Seung Hyun Jeong; Min Woo Woo; Gyogwon Koo; Jong-Hak Lee; Jong Pil Yun (IEEE Access, 2021)

Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number - Gyogwon Koo; Jong Pil Yun; Hyeyeon Choi; Sang Woo Kim (Expert Syst. Appl., 2021)

Multichannel Object Detection for Detecting Suspected Trees With Pine Wilt Disease Using Multispectral Drone Imagery - Hae Gwang Park; Jong Pil Yun; Min Young Kim; Seung Hyun Jeong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide - Min Su Kim; Jong Pil Yun; PooGyeon Park (IEEE Trans. Ind. Informatics, 2021)

Selective Distillation of Weakly Annotated GTD for Vision-Based Slab Identification System - Sang Jun Lee; Sang Woo Kim; Wookyong Kwon; Gyogwon Koo; Jong Pil Yun (IEEE Access, 2019)

Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test - Gyogwon Koo; Crino Shin; Hyeyeon Choi; Jong-Hak Lee; Sang Woo Kim; Jong Pil Yun (IEEE Access, 2019)

Development of Autonomous Driving Systems Using State Estimator with Multi-rate Sampled-data - Yongsik Jin; Seungyong Han; Eungchang Mason Lee; Sang-Moon Lee; Crino Shin; Jong Pil Yun (IEEE International Conference on Consumer Electronics, ICCE 2019, Las Vegas, NV, USA, January 11-13, 2019, 2019)

Deep Rotating Kernel Convolution Neural Network - Crino Shin; Jong Pil Yun (3rd IEEE International Conference on Robotic Computing, IRC 2019, Naples, Italy, February 25-27, 2019, 2019)

Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System - Sang Jun Lee; Sang Woo Kim; Wookyong Kwon; Gyogwon Koo; Jong Pil Yun (CoRR, 2018)

End-to-end recognition of slab identification numbers using a deep convolutional neural network - Sang Jun Lee; Jong Pil Yun; Gyogwon Koo; Sang Woo Kim (Knowl. Based Syst., 2017)

Dissipative reset adaptive observer for a class of singular systems - Yongsik Jin; Wookyong Kwon; Jong Pil Yun; Sangmoon Lee (11th Asian Control Conference, ASCC 2017, Gold Coast, Australia, December 17-20, 2017, 2017)

Weakly supervised learning with convolutional neural networks for power line localization - Sang Jun Lee; Jong Pil Yun; Hyeyeon Choi; Wookyong Kwon; Gyogwon Koo; Sang Woo Kim (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017, 2017)

WheelLogger: Driver Tracing Using Smart Watch - Joon Young Park; Jong Pil Yun; Dong Hoon Lee (Information Security Applications - 18th International Conference, WISA 2017, Jeju Island, Korea, August 24-26, 2017, Revised Selected Papers, 2017)

An Improved Fuzzy Attribute-Based Authentication - Jong Pil Yun; Hyoseung Kim; Dong Hoon Lee (5th International Conference on IT Convergence and Security, ICITCS 2015, Kuala Lumpur, Malaysia, August 24-27, 2015, 2015)

Localizing slab identification numbers in factory scene images - SungHoo Choi; Jong Pil Yun; Keunhwi Koo; Sang Woo Kim (Expert Syst. Appl., 2012)

A text localization algorithm in images for automatic recognition of slab identification numbers - SungHoo Choi; Jong Pil Yun; Keunhwi Koo; Jong Hyun Choi; Sang Woo Kim (10th European Control Conference, ECC 2009, Budapest, Hungary, 23-26 August 2009, 2009)

Pinhole detection in steel slab images using machine vision - Doo-Chul Choi; Jong Pil Yun; Yong-Ju Jeon; Sang Woo Kim (2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, ICONS 2009, Istanbul, Turkey, September 21-23, 2009, 2009)

Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation - Nam-Geun Kim; Jong Pil Yun; Sang Woo Kim (Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 5, 2007)