Color Image Enhancement Based on Land's Color Constancy Algorithm. - Jeong-Yeop Kim; Sung-Ho Bae; Eung-Joo Lee; Yeong-Ho Ha (CIC, 1994)

Color Quantization and Dithering Method Based on HVS Characteristics. - Chae-Soo Lee; Kyeong-Man Kim; Eung-Joo Lee; Yeong-Ho Ha (CIC, 1995)

Color image quantization using weighted distortion measure of HVS color activity. - Kyeong-Man Kim; Chae-Soo Lee; Eung-Joo Lee; Yeong-Ho Ha (ICIP (3), 1996)

Automatic favorite-color control for reference color. - Eung-Joo Lee; Ki-Ho Hyun; Yeong-Ho Ha (Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts, 1998)

Cooperative Relaxation Algorithm of Range Images Using Surface Curvatures. - Eung-Joo Lee; Ki-Ho Hyun; Gak Min; Ki-Ryong Kwon; In-Gab Jeong (MVA, 1998)

Gamut mapping using variable anchor points. - Chae-Soo Lee; Kyeong-Man Kim; Eung-Joo Lee; Yeong-Ho Ha (Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts, 1999)

Tone reproduction technique using neural network in inkjet printers. - Cheol-Hee Lee; Eui-Yoon Chung; Chae-Soo Lee; Eung-Joo Lee; Yeong-Ho Ha (KES, 1999)

Digital halftoning based on color correction using neural network with uniform color samples and vector error diffusion. - Cheol-Hee Lee; Wonhee Choe; Eung-Joo Lee; Yeong-Ho Ha (Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts, 2000)

Highly Reliable Stochastic Perceptual Watermarking Model Based on Multiwavelet Transform. - Ki-Ryong Kwon; Ji-Hwan Park; Eung-Joo Lee; Ahmed H. Tewfik (IWDW, 2003)

Copyright protection of architectural CAD drawing using the multiple watermarking scheme. - Ki-Ryong Kwon; Bong-Ju Jang; Eung-Joo Lee; Young Huh (ICME, 2004)

Automatic Face Analysis System Based on Face Recognition and Facial Physiognomy. - Eung-Joo Lee; Ki-Ryong Kwon (ICHIT, 2006)

Watermarking for 3D CAD Drawings Based on Three Components. - Ki-Ryong Kwon; Suk Hwan Lee; Eung-Joo Lee; Seong Geun Kwon (SSPR/SPR, 2006)

Mobile 3D Game Contents Watermarking Based on Buyer-Seller Watermarking Protocol. - Seong Geun Kwon; Suk Hwan Lee; Ki-Ryong Kwon; Eung-Joo Lee; Soo-Yol Ok; Sung-Ho Bae (IEICE Trans. Inf. Syst., 2008)

Real-Time Human Recognition by Their Walk. - Anh Viet Nguyen; Eung-Joo Lee (ACIIDS, 2009)

Robust 3D mesh hashing based on shape features. - Suk Hwan Lee; Eung-Joo Lee; Ki-Ryong Kwon (ICME, 2010)

3D Face Recognition Using Face Feature Points Based on Parallel Stereo Vision. - Li Wei; Eung-Joo Lee (J. Digit. Content Technol. its Appl., 2010)

Multi-pose Face Recognition Using Head Pose Estimation and PCA Approach. - Li Wei; Eung-Joo Lee (J. Digit. Content Technol. its Appl., 2010)

Intelligent Music Player Based on Human Motion Recognition. - Wenkai Xu; Soo-Yol Ok; Eung-Joo Lee (FGIT-MulGraB (1), 2011)

Human multimedia display interface based on human activity recognition. - Yiting Shang; Eung-Joo Lee (ICDIP, 2011)

Real-time recognition of humans by their walk. - Li Wei; Anh Viet Nguyen; Eung-Joo Lee (Int. J. Intell. Inf. Database Syst., 2011)

A Watermarking Scheme for Coding DNA Sequences Using Codon Circular Code. - Suk Hwan Lee; Eung-Joo Lee; Won-Joo Hwang; Ki-Ryong Kwon (BIONETICS, 2012)

Watermarking scheme for copyright protection of 3d animated model. - Suk Hwan Lee; Seong Geun Kwon; Eung-Joo Lee; Kwang-Seok Moon; Won-Joo Hwang; Ki-Ryong Kwon (CCNC, 2012)

T-DMB Receiver Model for Emergency Alert Service. - Seong Geun Kwon; Suk Hwan Lee; Eung-Joo Lee; Ki-Ryong Kwon (ICCSA (4), 2012)

A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm. - Wenkai Xu; Eung-Joo Lee (KSII Trans. Internet Inf. Syst., 2013)

Coding DNA Sequence Watermarking. - Suk-Hwan Lee; Won-Joo Hwang; Eung-Joo Lee; Ki-Ryong Kwon (FCC, 2014)

A Novel Method for Hand Posture Recognition Based on Depth Information DescriptorT. - Wenkai Xu; Eung-Joo Lee (KSII Trans. Internet Inf. Syst., 2015)

A Robust Method for Partially Occluded Face Recognition. - Wenkai Xu; Suk-Hwan Lee; Eung-Joo Lee (KSII Trans. Internet Inf. Syst., 2015)

MultiView-Based Hand Posture Recognition Method Based on Point Cloud. - Wenkai Xu; Ick-Soo Lee; Suk-Kwan Lee; Bo Lu 002; Eung-Joo Lee (KSII Trans. Internet Inf. Syst., 2015)

Automatic Fault Diagnosis of Drills Using Artificial Neural Networks. - Caleb Vununu; Ki-Ryong Kwon; Eung-Joo Lee; Kwang-Seok Moon; Suk-Hwan Lee (ICMLA, 2017)

A crypto-marking method for secure vector map. - Bong-Joo Jang; Suk-Hwan Lee; Eung-Joo Lee; Sanghun Lim; Ki-Ryong Kwon (Multim. Tools Appl., 2017)

Selective Encryption Algorithm for 3D Printing Model Based on Clustering and DCT Domain. - Giao N. Pham; Ki-Ryong Kwon; Eung-Joo Lee; Suk-Hwan Lee (J. Comput. Sci. Eng., 2017)

The Key to The Future Development of Interactive Art - Virtual Reality Technology. - Junyi Wang; Yuanyuan Wang; Ning Zhang; Eung-Joo Lee; Yabin Li; Gang Liao (J. Multim. Inf. Syst., 2018)

Reversible DNA data hiding using multiple difference expansions for DNA authentication and storage. - Suk-Hwan Lee; Eung-Joo Lee; Won-Joo Hwang; Ki-Ryong Kwon (Multim. Tools Appl., 2018)

Segmentation of surgical instruments in laparoscopic videos: training dataset generation and deep-learning-based framework. - Eung-Joo Lee; William Plishker; Xinyang Liu; Timothy D. Kane; Shuvra S. Bhattacharyya; Raj Shekhar (Image-Guided Procedures, 2019)

Hyperspectral Video Processing on Resource-Constrained Platforms. - Honglei Li 005; Lei Pan 005; Eung-Joo Lee; Zhu Li 001; Matthew J. Hoffman 001; Anthony Vodacek; Shuvra S. Bhattacharyya (WHISPERS, 2019)

MRI-compatible needle guidance toolkit to streamline arthrography procedures: phantom accuracy study. - Reza Monfaredi; Pavel Yarmolenko; Eung-Joo Lee; Viktoriya Beskin; Kevin Cleary; Karun Sharma (Image-Guided Procedures, 2020)

Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging. - Yaesop Lee; Jing Xie; Eung-Joo Lee; Srijesh Sudarsanan; Da-Ting Lin; Rong Chen 005; Shuvra S. Bhattacharyya (Frontiers Comput. Neurosci., 2020)

Dual Attention-Guided Multiscale Dynamic Aggregate Graph Convolutional Networks for Skeleton-Based Human Action Recognition. - Zeyuan Hu 002; Eung-Joo Lee (Symmetry, 2020)

DCT-based Hyperspectral Image Classification on Resource-Constrained Platforms. - Eung-Joo Lee; Yi-Ting Shen; Lei Pan 005; Zhu Li 001; Shuvra S. Bhattacharyya (WHISPERS, 2021)

Deep Super-Resolution Imaging Technology: Toward Optical Super-Vision. - Seok Bong Yoo; Eung-Joo Lee (IEEE Consumer Electron. Mag., 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning. - Eung-Joo Lee; William Plishker; Nobuhiko Hata; Paul B. Shyn; Stuart G. Silverman; Shuvra S. Bhattacharyya; Raj Shekhar (J. Digit. Imaging, 2021)

Gait Programming of Quadruped Bionic Robot. - Mingying Li; Chengbiao Jia; Eung-Joo Lee; Yiran Feng (J. Multim. Inf. Syst., 2021)

An Image Quality Evaluation Model for Optical Strip Signal-to-Noise Ratio in the Target Area of High Temperature Forgings. - Hongtao Ma; Yuyang Zhao; Yiran Feng; Eung-Joo Lee; Xueheng Tao (J. Multim. Inf. Syst., 2021)

Hi-EADN: Hierarchical Excitation Aggregation and Disentanglement Frameworks for Action Recognition Based on Videos. - Zeyuan Hu 002; Eung-Joo Lee (Symmetry, 2021)

Deep-Learning Based Image Analysis on Resource-Constrained Systems. - Eung-Joo Lee (2021)

Real-time Face Tracking Based on a Configurable Ensemble of Detectors. - Eung-Joo Lee; Alexander Mattingly; Heesung Kwon; Benjamin S. Riggan; Shuvra S. Bhattacharyya (IEEECONF, 2022)

Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. - Yaesop Lee; Hyungtae Lee; Eung-Joo Lee; Heesung Kwon; Shuvra S. Bhattacharyya (AIPR, 2022)

EADTC: An Approach to Interpretable and Accurate Crime Prediction. - Yujunrong Ma; Kiminori Nakamura; Eung-Joo Lee; Shuvra S. Bhattacharyya (SMC, 2022)

Validation of object detection in UAV-based images using synthetic data. - Eung-Joo Lee; Damon M. Conover; Shuvra S. Bhattacharyya; Heesung Kwon; Jason Hill; Kenneth Evensen (CoRR, 2022)

A Literature Review on the Smart Wheelchair Systems. - Yane Kim; Bharath Velamala; Youngseo Choi; Yujin Kim; Hyunkin Kim; Nishad Kulkarni; Eung-Joo Lee (CoRR, 2023)

Toward Robust Partial-Image Based Template Matching Techniques for MRI-Guided Interventions. - Eung-Joo Lee; Setareh Farzinfard; Pavel Yarmolenko; Kevin Cleary; Reza Monfaredi (J. Digit. Imaging, 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. - Eung-Joo Lee; Vivek Kumar Singh 008; Elham Yousef Kalafi; Peng Guo; Arinc Ozturk; Theodore T. Pierce; Brian A. Telfer; Anthony E. Samir; Laura J. Brattain (CLIP@MICCAI, 2024)

Child FER: Domain-Agnostic Facial Expression Recognition in Children Using a Secondary Image Diffusion Model. - Eungi Lee; Eung-Joo Lee; Syed Muhammad Anwar; Seok Bong Yoo (ICASSP, 2024)

Multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning. - Aravind Shrenivas Murali; Marino Chuquilín; Eung-Joo Lee (DFUC@MICCAI, 2024)

Development of a Modular Real-time Shared-control System for a Smart Wheelchair. - Vaishanth Ramaraj; Atharva Paralikar; Eung-Joo Lee; Syed Muhammad Anwar; Reza Monfaredi (J. Signal Process. Syst., 2024)

Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. - Yicheng Leng; Syed Muhammad Anwar; Islem Rekik; Sen He 002; Eung-Joo Lee (ISBI, 2025)

Multimodal Learning for Enhanced Detection in Oral Cancer Screening. - Jiayi Zhang; Yuchen Tian; Bofan Song; Eung-Joo Lee (ISBI, 2025)

Deep Learning-Based Medical Object Detection: A Survey. - Mohammadreza Saraei; Mehrshad Lalinia; Eung-Joo Lee (IEEE Access, 2025)

ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification. - Mohammadreza Saraei; Igor Kozak; Eung-Joo Lee (CoRR, 2025)

Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking. - Jisu Kim; Alexander Mattingly; Eung-Joo Lee; Benjamin S. Riggan (CoRR, 2025)