Jong Pil Yun

30 papers A* 1C 1Misc 2Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
High-Resolution neural attenuation field for industrial computed tomography.
Expert Syst. Appl.
Woosang Shin, Iljeok Kim, Jonghyeon Lee, Seungchul Lee, Jong Pil Yun
2025 J jnl
An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing.
IEEE Access
Han Chang Lee, Byeong Hak Kim, Jong Pil Yun, Gyu Man Kim, Woojin Kim, Hong-In Won
2025 J jnl
Implicit dimension measurement for automated cross-sectional inspection of multi-lumen medical catheters.
J. Ind. Inf. Integr.
Woosang Shin, Jonghyeon Lee, Dong Yun Choi, Iljeok Kim, Jong Pil Yun
2025 Misc conf
Text Coherence Based Test-Time Adaptation for Collaborative Robot Segmentation.
IRI
Seung Yeop Ha, Jun-Seok Yun, Seung-Kyum Choi, Min Su Kim, Sanga Lee, Hong-In Won, Jong Pil Yun
2024 J jnl
Deep Feature Selection Framework for Quality Prediction in Injection Molding Process.
IEEE Trans. Ind. Informatics
Iljeok Kim, Juwon Na, Jong Pil Yun, Seungchul Lee
2024 J jnl
Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images.
Comput. Medical Imaging Graph.
Taehan Lee, Woosang Shin, Jong-Hyeon Lee, Sangmoon Lee, Han-Gyeol Yeom, Jong Pil Yun
2024 J jnl
Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data.
J. Ind. Inf. Integr.
Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, Woosang Shin, Sang Woo Kim
2023 A* conf
Anomaly Detection using Score-based Perturbation Resilience.
ICCV
Woosang Shin, Jonghyeon Lee, Taehan Lee, Sangmoon Lee, Jong Pil Yun
2023 J jnl
Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models.
IEEE Trans. Ind. Informatics
Minseon Gwak, Min Su Kim, Jong Pil Yun, PooGyeon Park
2022 J jnl
Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection.
IEEE Trans. Ind. Informatics
Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, Sang Woo Kim
2022 J jnl
Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals.
IEEE Trans. Ind. Informatics
Min Su Kim, Jong Pil Yun, PooGyeon Park
2021 J jnl
An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide.
IEEE Trans. Ind. Informatics
Min Su Kim, Jong Pil Yun, PooGyeon Park
2021 J jnl
An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map.
IEEE Access
Min Su Kim, Jong Pil Yun, PooGyeon Park
2021 J jnl
Automatic Brittle Fracture Ratio Estimation Using Convolutional Neural Network Regression Based on Classmap Regulation.
IEEE Access
Seung Hyun Jeong, Min Woo Woo, Gyogwon Koo, Jong-Hak Lee, Jong Pil Yun
2021 J jnl
Multichannel Object Detection for Detecting Suspected Trees With Pine Wilt Disease Using Multispectral Drone Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hae Gwang Park, Jong Pil Yun, Min Young Kim, Seung Hyun Jeong
2021 J jnl
Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number.
Expert Syst. Appl.
Gyogwon Koo, Jong Pil Yun, Hyeyeon Choi, Sang Woo Kim
2019 J jnl
Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test.
IEEE Access
Gyogwon Koo, Crino Shin, Hyeyeon Choi, Jong-Hak Lee, Sang Woo Kim, Jong Pil Yun
2019 — conf
Deep Rotating Kernel Convolution Neural Network.
IRC
Crino Shin, Jong Pil Yun
2019 C conf
Development of Autonomous Driving Systems Using State Estimator with Multi-rate Sampled-data.
ICCE
Yongsik Jin, Seungyong Han, Eungchang Mason Lee, Sang-Moon Lee, Crino Shin, Jong Pil Yun
2019 J jnl
Selective Distillation of Weakly Annotated GTD for Vision-Based Slab Identification System.
IEEE Access
Sang Jun Lee, Sang Woo Kim, Wookyong Kwon, Gyogwon Koo, Jong Pil Yun
2018 J jnl
Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System.
CoRR
Sang Jun Lee, Sang Woo Kim, Wookyong Kwon, Gyogwon Koo, Jong Pil Yun
2017 — conf
Dissipative reset adaptive observer for a class of singular systems.
ASCC
Yongsik Jin, Wookyong Kwon, Jong Pil Yun, Sangmoon Lee
2017 J jnl
End-to-end recognition of slab identification numbers using a deep convolutional neural network.
Knowl. Based Syst.
Sang Jun Lee, Jong Pil Yun, Gyogwon Koo, Sang Woo Kim
2017 — conf
Weakly supervised learning with convolutional neural networks for power line localization.
SSCI
Sang Jun Lee, Jong Pil Yun, Hyeyeon Choi, Wookyong Kwon, Gyogwon Koo, Sang Woo Kim
2017 Misc conf
WheelLogger: Driver Tracing Using Smart Watch.
WISA
Joon Young Park, Jong Pil Yun, Dong Hoon Lee
2015 — conf
An Improved Fuzzy Attribute-Based Authentication.
ICITCS
Jong Pil Yun, Hyoseung Kim, Dong Hoon Lee
2012 J jnl
Localizing slab identification numbers in factory scene images.
Expert Syst. Appl.
SungHoo Choi, Jong Pil Yun, Keunhwi Koo, Sang Woo Kim
2009 — conf
A text localization algorithm in images for automatic recognition of slab identification numbers.
ECC
SungHoo Choi, Jong Pil Yun, Keunhwi Koo, Jong Hyun Choi, Sang Woo Kim
2009 — conf
Pinhole detection in steel slab images using machine vision.
ICONS
Doo-Chul Choi, Jong Pil Yun, Yong-Ju Jeon, Sang Woo Kim
2007 — conf
Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation.
ICNC (5)
Nam-Geun Kim, Jong Pil Yun, Sang Woo Kim