Nonlinear camera calibration using neural networks. - Doo-Hyun Choi; Se-Young Oh; Hea-Dong Chang; Kwang-Ick Kim (Neural Parallel Sci. Comput., 1994)

Enhancing reliability of a vehicle steering algorithm by combining computer vision and neural vision. - Doo-Hyun Choi; Se-Young Oh; Kwang-Ick Kim (ICNN, 1995)

A hybrid learning neural network architecture with locally activated hidden layer for fast and accurate mapping. - Se-Young Oh; Doo-Hyun Choi; In-Sook Lee (Neurocomputing, 1995)

Connectionist-nonconnectionist fusion architecture for high speed road following. - Doo-Hyun Choi; Se-Young Oh; Kwang-Ick Kim (Neural Parallel Sci. Comput., 1996)

Real-Time Neural Network Based Camera Localization and its Extension to Mobile Robot Control. - Doo-Hyun Choi; Se-Young Oh (Int. J. Neural Syst., 1997)

A New Fast Evolutionary Programming Algorithm for Continuous Function Optimization. - Doo-Hyun Choi; Se-Young Oh; Hyeon-Joong Cho (Neural Parallel Sci. Comput., 1999)

A new mutation rule for evolutionary programming motivated from backpropagation learning. - Doo-Hyun Choi; Se-Young Oh (IEEE Trans. Evol. Comput., 2000)

A new reinforcement learning vehicle control architecture for vision-based road following. - Se-Young Oh; Jeong-Hoon Lee; Doo-Hyun Choi (IEEE Trans. Veh. Technol., 2000)

New fitness-Based migration operator for evolutionary programming. - Doo-Hyun Choi (Neural Parallel Sci. Comput., 2001)

New weight learning strategy for fully connected feed-forward neural networks. - Doo-Hyun Choi (Neural Parallel Sci. Comput., 2001)

Cooperative mutation based evolutionary programming for continuous function optimization. - Doo-Hyun Choi (Oper. Res. Lett., 2002)

Iris Feature Extraction and Matching Based on Multiscale and Directional Image Representation. - Chul-Hyun Park; Joon-Jae Lee; Sang-Keun Oh; Young-Chul Song; Doo-Hyun Choi; Kil-Houm Park (Scale-Space, 2003)

Morphological Blob-Mura Defect Detection Method for TFT-LCD Panel Inspection. - Young-Chul Song; Doo-Hyun Choi; Kil-Houm Park (KES, 2004)

A Fuzzy Framework for Flashover Monitoring. - Chang-Gun Um; Chang-Gi Jung; Byung-Gil Han; Young-Chul Song; Doo-Hyun Choi (FSKD (2), 2005)

Color Image Enhancement Based on Single-Scale Retinex With a JND-Based Nonlinear Filter. - Doo-Hyun Choi; Ick Hoon Jang; Mi Hye Kim; Nam Chul Kim (ISCAS, 2007)

Color image enhancement using single-scale retinex based on an improved image formation model. - Doo-Hyun Choi; Ick Hoon Jang; Mi Hye Kim; Nam Chul Kim (EUSIPCO, 2008)

Modeling of Chemical Plant's Rectifying Towers Using Artificial Neural Networks. - Jong-Hwa Kim; Su-Yeon Jeong; Bok-Jin Oh; Doo-Hyun Choi; Jinhee Lee (CICSyN, 2011)

Performance Enhancement of YOLOv3 by Adding Prediction Layers with Spatial Pyramid Pooling for Vehicle Detection. - Kwang-Ju Kim; Pyong-Kun Kim; Yun-Su Chung; Doo-Hyun Choi (AVSS, 2018)

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Wenbo Li 001; Yi Wei 006; Marco Del Coco; Pierluigi Carcagnì; Arne Schumann; Bharti Munjal; Dinh-Quoc-Trung Dang; Doo-Hyun Choi; Erik Bochinski; et al. (AVSS, 2018)

Vehicle Color Recognition via Representative Color Region Extraction and Convolutional Neural Network. - Kwang-Ju Kim; Pyong-Kun Kim; Kil-Taek Lim; Yun-Su Chung; Yoon-Jeong Song; Soo In Lee; Doo-Hyun Choi (ICUFN, 2018)

Multi-Scale Detector for Accurate Vehicle Detection in Traffic Surveillance Data. - Kwang-Ju Kim; Pyong-Kun Kim; Yun-Su Chung; Doo-Hyun Choi (IEEE Access, 2019)

Hybrid direct combination color constancy algorithm using ensemble of classifier. - Shibudas Kattakkalil Subhashdas; Yeong-Ho Ha; Doo-Hyun Choi (Expert Syst. Appl., 2019)

Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory. - Hwa-Rang Kim; Kwang-Ju Kim; Kil-Taek Lim; Doo-Hyun Choi (BIBM, 2020)

Design of a Scalable and Fast YOLO for Edge-Computing Devices. - Byung-Gil Han; Joon-Goo Lee; Kil-Taek Lim; Doo-Hyun Choi (Sensors, 2020)

Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module. - Hwa-Rang Kim; Kwang-Ju Kim; Kil-Taek Lim; Doo-Hyun Choi (IEEE Access, 2021)

PAIP 2020: Microsatellite instability prediction in colorectal cancer. - Kyungmo Kim; Kyoungbun Lee; Sungduk Cho; Dong Un Kang; Seongkeun Park; Yunsook Kang; Hyunjeong Kim; Gheeyoung Choe; Kyung Chul Moon; Kyu Sang Lee; Jeong Hwan Park; Choyeon Hong; et al. (Medical Image Anal., 2023)