Region-Based Image Retrieval System Using Efficient Feature Description. - ByoungChul Ko; Hae-Sung Lee; Hyeran Byun (ICPR, 2000)

Image Retrieval Using Flexible Image Subblocks. - ByoungChul Ko; Hae-Sung Lee; Hyeran Byun (SAC (2), 2000)

A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. - ByoungChul Ko; Jing Peng; Hyeran Byun (ICME, 2001)

Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. - ByoungChul Ko; Jing Peng; Hyeran Byun (Pattern Anal. Appl., 2001)

Multiple Regions and Their Spatial Relationship-Based Image Retrieval. - ByoungChul Ko; Hyeran Byun (CIVR, 2002)

Integrated Region-Based Image Retrieval Using Region??s Spatial Relationships. - ByoungChul Ko; Hyeran Byun (ICPR (1), 2002)

Probabilistic Neural Networks Supporting Multi-Class Relevance Feedback in Region-Based Image Retrieval. - ByoungChul Ko; Hyeran Byun (ICPR (4), 2002)

Automatic text extraction in news images using morphology. - InYoung Jang; ByoungChul Ko; Hyeran Byun; Yeongwoo Choi (VCIP, 2002)

Query-by-Gesture: An Alternative Content-Based Image Retrieval Query Scheme. - ByoungChul Ko; Hyeran Byun (J. Vis. Lang. Comput., 2002)

Robust Face Detection and Tracking for Real-Life Applications. - Hyeran Byun; ByoungChul Ko (Int. J. Pattern Recognit. Artif. Intell., 2003)

Extracting Salient Regions And Learning Importance Scores In Region-Based Image Retrieval. - ByoungChul Ko; Hyeran Byun (Int. J. Pattern Recognit. Artif. Intell., 2003)

SVM-based Salient Region(s) Extraction Method for Image Retrieval. - ByoungChul Ko; Soo Yeong Kwak; Hyeran Byun (ICPR (2), 2004)

Automatic Salient-Object Extraction Using the Contrast Map and Salient Points. - Soo Yeong Kwak; ByoungChul Ko; Hyeran Byun (PCM (2), 2004)

FRIP: a region-based image retrieval tool using automatic image segmentation and stepwise Boolean AND matching. - ByoungChul Ko; Hyeran Byun (IEEE Trans. Multim., 2005)

ROI-Based Medical Image Retrieval Using Human-Perception and MPEG-7 Visual Descriptors. - MiSuk Seo; ByoungChul Ko; Hong Chung; Jae-Yeal Nam (CIVR, 2006)

Automatic Object-of-Interest segmentation from natural images. - ByoungChul Ko; Jae-Yeal Nam (ICPR (4), 2006)

Microscopic Image Segmentation for the Clinical Support System. - ByoungChul Ko; MiSuk Seo; Jae-Yeal Nam (CGIV, 2007)

Salient human detection for robot vision. - Soo Yeong Kwak; ByoungChul Ko; Hyeran Byun (Pattern Anal. Appl., 2007)

X-Ray Image Classification and Retrieval Using Ensemble Combination of Visual Descriptors. - JeongHee Shim; KiHee Park; ByoungChul Ko; Jae-Yeal Nam (PSIVT, 2009)

Microscopic Cell Nuclei Segmentation Based on Adaptive Attention Window. - ByoungChul Ko; MiSuk Seo; Jae-Yeal Nam (J. Digit. Imaging, 2009)

X-ray image classification using Random Forests with Local Binary Patterns. - Seong-Hoon Kim; Ji-Hyun Lee; ByoungChul Ko; Jae-Yeal Nam (ICMLC, 2010)

Fire-Flame Detection Based on Fuzzy Finite Automation. - SunJae Ham; ByoungChul Ko; Jae-Yeal Nam (ICPR, 2010)

Forest Smoke Detection Using CCD Camera and Spatial-temporal Variation of Smoke Visual Patterns. - Joon Young Kwak; ByoungChul Ko; Jae-Yeal Nam (CGIV, 2011)

Keyword Annotation of Medical Image with Random Forest Classifier and Confidence Assigning. - Ji-Hyeon Lee; Deok-Yeon Kim; ByoungChul Ko; Jae-Yeal Nam (CGIV, 2011)

Current trend in natural disaster warning systems based on computer vision techniques. - ByoungChul Ko; Joon Young Kwak; June Hyeok Hong; Jae-Yeal Nam (ACPR, 2011)

A novel framework for white blood cell segmentation based on stepwise rules and morphological features. - JaWon Gim; JunOh Park; Ji-Hyeon Lee; ByoungChul Ko; Jae-Yeal Nam (Image Processing: Machine Vision Applications, 2011)

Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models. - SunJae Ham; ByoungChul Ko; Jae-Yeal Nam (Image Processing: Machine Vision Applications, 2011)

X-ray Image Classification Using Random Forests with Local Wavelet-Based CS-Local Binary Patterns. - ByoungChul Ko; Seong-Hoon Kim; Jae-Yeal Nam (J. Digit. Imaging, 2011)

Modeling and Formalization of Fuzzy Finite Automata for Detection of Irregular Fire Flames. - ByoungChul Ko; SunJae Ham; Jae-Yeal Nam (IEEE Trans. Circuits Syst. Video Technol., 2011)

Human Detection Using Wavelet-Based CS-LBP and a Cascade of Random Forests. - Deok-Yeon Kim; Joon Young Kwak; ByoungChul Ko; Jae-Yeal Nam (ICME, 2012)

Automatic medical image annotation and keyword-based image retrieval using relevance feedback. - ByoungChul Ko; Ji-Hyeon Lee; Jae-Yeal Nam (J. Digit. Imaging, 2012)

Wildfire smoke detection using spatiotemporal bag-of-features of smoke. - JunOh Park; ByoungChul Ko; Jae-Yeal Nam; Soo Yeong Kwak (WACV, 2013)

Spatiotemporal bag-of-features for early wildfire smoke detection. - ByoungChul Ko; JunOh Park; Jae-Yeal Nam (Image Vis. Comput., 2013)

Fast Human Detection for Intelligent Monitoring Using Surveillance Visible Sensors. - ByoungChul Ko; Mira Jeong; Jae-Yeal Nam (Sensors, 2014)

Real-Time Speed-Limit Sign Detection and Recognition Using Spatial Pyramid Feature and Boosted Random Forest. - JaWon Gim; MinCheol Hwang; ByoungChul Ko; Jae-Yeal Nam (ICIAR, 2015)

Multi-person Tracking Based on Body Parts and Online Random Ferns Learning of Thermal Images. - Joon Young Kwak; ByoungChul Ko; Jae-Yeal Nam (WACV, 2015)

Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers. - ByoungChul Ko; Hyeong Hun Kim; Jae-Yeal Nam (Sensors, 2015)

Human action recognition in still images using action poselets and a two-layer classification model. - ByoungChul Ko; June Hyeok Hong; Jae-Yeal Nam (J. Vis. Lang. Comput., 2015)

View-independent object detection using shared local features. - ByoungChul Ko; Ji-Hun Jung; Jae-Yeal Nam (J. Vis. Lang. Comput., 2015)

Pedestrian's Intention Prediction Based on Fuzzy Finite Automata and Spatial-temporal Features. - Joon Young Kwak; Eun-Ju Lee; ByoungChul Ko; Mira Jeong (Video Surveillance and Transportation Imaging Applications, 2016)

Facial landmark detection based on an ensemble of local weighted regressors during real driving situation. - Mira Jeong; Joon Young Kwak; ByoungChul Ko; Jae-Yeal Nam (ICPR, 2016)

Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night. - ByoungChul Ko; Joon Young Kwak; Jae-Yeal Nam (Intelligent Vehicles Symposium, 2016)

Early Detection of Sudden Pedestrian Crossing for Safe Driving During Summer Nights. - Mira Jeong; ByoungChul Ko; Jae-Yeal Nam (IEEE Trans. Circuits Syst. Video Technol., 2017)

Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night. - Joon Young Kwak; ByoungChul Ko; Jae-Yeal Nam (IEEE Trans. Intell. Transp. Syst., 2017)

Pedestrian Detection at Night Using Deep Neural Networks and Saliency Maps. - Duyoung Heo; Eunju Lee; ByoungChul Ko (Autonomous Vehicles and Machines, 2018)

Multiple pedestrian tracking in moving vehicle using online learning of random ferns and feature descriptor of pre-trained shallow Convolutional Neural Networks. - Sang Jun Kim; Jae-Yeal Nam; ByoungChul Ko (Autonomous Vehicles and Machines, 2018)

Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera. - Sang Jun Kim; Jae-Yeal Nam; ByoungChul Ko (IEEE Access, 2018)

Driver's Facial Expression Recognition in Real-Time for Safe Driving. - Mira Jeong; ByoungChul Ko (Sensors, 2018)

A Brief Review of Facial Emotion Recognition Based on Visual Information. - ByoungChul Ko (Sensors, 2018)

Driver Facial Landmark Detection in Real Driving Situations. - Mira Jeong; ByoungChul Ko; Sooyeong Kwak; Jae-Yeal Nam (IEEE Trans. Circuits Syst. Video Technol., 2018)

Depth-map estimation using combination of global deep network and local deep random forest. - Sang Jun Kim; Sangwon Kim; Deokwoo Lee; ByoungChul Ko (3DMPD, 2019)

Deep Coupling of Random Ferns. - Sangwon Kim; Mira Jeong; Deokwoo Lee; ByoungChul Ko (CVPR Workshops, 2019)

Intelligent Driver Emotion Monitoring Based on Lightweight Multilayer Random Forests. - Mira Jeong; Minji Park; ByoungChul Ko (INDIN, 2019)

Fast Pedestrian Detection in Surveillance Video Based on Soft Target Training of Shallow Random Forest. - Sang Jun Kim; Sooyeong Kwak; ByoungChul Ko (IEEE Access, 2019)

Estimation of Pedestrian Pose Orientation Using Soft Target Training Based on Teacher-Student Framework. - DuYeong Heo; Jae-Yeal Nam; ByoungChul Ko (Sensors, 2019)

Fast Depth Estimation in a Single Image Using Lightweight Efficient Neural Network. - Sangwon Kim; Jae-Yeal Nam; ByoungChul Ko (Sensors, 2019)

Multiple pedestrian tracking using Siamese random forests and shallow Convolutional Neural Networks. - Jimi Lee; Jae-Yeal Nam; ByoungChul Ko (Autonomous Vehicles and Machines, 2020)

Two-Step Cascading Algorithm for Camera-based Night Fire Detection. - Minji Park; Donghyun Son; ByoungChul Ko (Image Processing: Algorithms and Systems, 2020)

Lightweight Multilayer Random Forests for Monitoring Driver Emotional Status. - Mira Jeong; Jae-Yeal Nam; ByoungChul Ko (IEEE Access, 2020)

Building Deep Random Ferns Without Backpropagation. - Sangwon Kim; ByoungChul Ko (IEEE Access, 2020)

Online Multiple Object Tracking Using Rule Distillated Siamese Random Forest. - Jimi Lee; Sangwon Kim; ByoungChul Ko (IEEE Access, 2020)

Light-Weight Student LSTM for Real-Time Wildfire Smoke Detection. - Mira Jeong; Minji Park; Jae-Yeal Nam; ByoungChul Ko (Sensors, 2020)

Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest. - Sangwon Kim; Mira Jeong; ByoungChul Ko (Sensors, 2020)

Two-Step Real-Time Night-Time Fire Detection in an Urban Environment Using Static ELASTIC-YOLOv3 and Temporal Fire-Tube. - Minji Park; ByoungChul Ko (Sensors, 2020)

Image Registration Between Real Image and Virtual Image Based on Self-supervised Keypoint Learning. - Sangwon Kim; In-Su Jang; ByoungChul Ko (ACPR (2), 2021)

Self-Supervised Keypoint Detection Based on Multi-Layer Random Forest Regressor. - Sangwon Kim; Mira Jeong; ByoungChul Ko (IEEE Access, 2021)

Graph Convolution Neural Network-Based Data Association for Online Multi-Object Tracking. - Jimi Lee; Mira Jeong; ByoungChul Ko (IEEE Access, 2021)

Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor Data. - Sangwon Kim; ByoungChul Ko; Jae-Yeal Nam (Sensors, 2021)

ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder. - Sangwon Kim; Jae-Yeal Nam; ByoungChul Ko (ICML, 2022)

Lightweight surrogate random forest support for model simplification and feature relevance. - Sangwon Kim; Mira Jeong; ByoungChul Ko (Appl. Intell., 2022)

Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition. - Seon-Bin Kim; Chanhyuk Jung; Byeong-Il Kim; ByoungChul Ko (Sensors, 2022)

Facial Expression Recognition Based on Squeeze Vision Transformer. - Sangwon Kim; Jae-Yeal Nam; ByoungChul Ko (Sensors, 2022)

Cross-Modal Learning with 3D Deformable Attention for Action Recognition. - Sangwon Kim; Dasom Ahn; ByoungChul Ko (ICCV, 2023)

STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition. - Dasom Ahn; Sangwon Kim; Hyunsu Hong; ByoungChul Ko (WACV, 2023)

Facial Expression Recognition in the Wild Using Face Graph and Attention. - Hyeongjin Kim; Jong-Ha Lee; ByoungChul Ko (IEEE Access, 2023)

SSL-MOT: self-supervised learning based multi-object tracking. - Sangwon Kim; Jimi Lee; ByoungChul Ko (Appl. Intell., 2023)

Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network. - Hyeongjin Kim; Sangwon Kim; Jong Taek Lee; ByoungChul Ko (CoRR, 2023)

High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid Cancer. - So-Hyun Cho; Su-Min Lee; Na-Young Lee; ByoungChul Ko; Hojeong Kim; Dae-Jin Jang; Jong-Ha Lee (Sensors, 2023)

STAR++: Rethinking spatio-temporal cross attention transformer for video action recognition. - Dasom Ahn; Sangwon Kim; ByoungChul Ko (Appl. Intell., 2023)

EQ-CBM: A Probabilistic Concept Bottleneck with Energy-Based Models and Quantized Vectors. - Sangwon Kim; Dasom Ahn; Byoung Chul Ko; In-Su Jang; Kwang-Ju Kim (ACCV (7), 2024)

Segmentation-Guided Neural Radiance Fields for Foreground Object 3D Reconstruction. - Seon-Bin Kim; ByoungChul Ko (ICEIC, 2024)

Active Contrastive Learning With Noisy Labels in Fine-Grained Classification. - Byeong-Il Kim; ByoungChul Ko (ICEIC, 2024)

Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency. - Hyeongjin Kim; Sangwon Kim; Dasom Ahn; Jong Taek Lee; Byoung Chul Ko (ICML, 2024)

Interpretable Information Visualization for Enhanced Temporal Action Detection in Videos. - Dasom Ahn; Jong-Ha Lee; Byoung Chul Ko (IEEE Access, 2024)

Concept graph embedding models for enhanced accuracy and interpretability. - Sangwon Kim; Byoung Chul Ko (Mach. Learn. Sci. Technol., 2024)

Rethinking Attention Mechanisms in Vision Transformers with Graph Structures. - Hyeongjin Kim; ByoungChul Ko (Sensors, 2024)

BTD-RF: 3D scene reconstruction using block-term tensor decomposition. - Seon Bin Kim; Sangwon Kim; Dasom Ahn; Byoung Chul Ko (Appl. Intell., 2024)

Neural Tree Decoder for Interpretation of Vision Transformers. - Sangwon Kim; Byoung Chul Ko (IEEE Trans. Artif. Intell., 2024)

Domain-free fire detection using the spatial-temporal attention transform of the YOLO backbone. - Sangwon Kim; In-Su Jang; Byoung Chul Ko (Pattern Anal. Appl., 2024)

Conditional Point Cloud Generation from Sketch Using Point-Voxel Representation. - Hye Rim Kim; Byoung Chul Ko (ICEIC, 2025)

Semantic Image Retrieval Using Scene Graphs and Natural Language Queries. - Jaehoon Kim; Byoung Chul Ko (ICEIC, 2025)

Semantic scene graph generation based on an edge dual scene graph and message passing neural network. - Hyeongjin Kim; Byoung Chul Ko (Image Vis. Comput., 2025)

Balanced clustering contrastive learning for long-tailed visual recognition. - Byeong-Il Kim; Byoung Chul Ko (Pattern Anal. Appl., 2025)

AuGQ: Augmented quantization granularity to overcome accuracy degradation for sub-byte quantized deep neural networks. - Ahmed Mujtaba; Wai-Kong Lee; Byoung Chul Ko; Hyung Jin Chang; Seong Oun Hwang (Appl. Intell., 2025)