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Byoung Chul Ko
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2020 – today
- 2024
[j45]Dasom Ahn, Jong-Ha Lee
, Byoung Chul Ko:
Interpretable Information Visualization for Enhanced Temporal Action Detection in Videos. IEEE Access 12: 107385-107393 (2024)- [j44]Seon Bin Kim, Sangwon Kim, Dasom Ahn, Byoung Chul Ko:
BTD-RF: 3D scene reconstruction using block-term tensor decomposition. Appl. Intell. 54(8): 6319-6332 (2024) - [j43]Sangwon Kim, In-Su Jang, Byoung Chul Ko:
Domain-free fire detection using the spatial-temporal attention transform of the YOLO backbone. Pattern Anal. Appl. 27(2): 45 (2024) - [j42]Hyeongjin Kim, ByoungChul Ko:
Rethinking Attention Mechanisms in Vision Transformers with Graph Structures. Sensors 24(4): 1111 (2024) - [j41]Sangwon Kim, Byoung Chul Ko:
Neural Tree Decoder for Interpretation of Vision Transformers. IEEE Trans. Artif. Intell. 5(5): 2067-2078 (2024) - [c40]Seon-Bin Kim, ByoungChul Ko:
Segmentation-Guided Neural Radiance Fields for Foreground Object 3D Reconstruction. ICEIC 2024: 1-3 - [c39]Hyeongjin Kim, Sangwon Kim, Dasom Ahn, Jong Taek Lee, Byoung Chul Ko:
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency. ICML 2024 - [i4]Hyeongjin Kim, Sangwon Kim, Dasom Ahn, Jong Taek Lee, Byoung Chul Ko:
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency. CoRR abs/2405.12648 (2024) - 2023
- [j40]Hyeongjin Kim, Jong-Ha Lee, ByoungChul Ko:
Facial Expression Recognition in the Wild Using Face Graph and Attention. IEEE Access 11: 59774-59787 (2023) - [j39]Sangwon Kim, Jimi Lee, ByoungChul Ko:
SSL-MOT: self-supervised learning based multi-object tracking. Appl. Intell. 53(1): 930-940 (2023) - [j38]Dasom Ahn, Sangwon Kim, ByoungChul Ko:
STAR++: Rethinking spatio-temporal cross attention transformer for video action recognition. Appl. Intell. 53(23): 28446-28459 (2023) - [j37]So-Hyun Cho, Su-Min Lee, Na-Young Lee, ByoungChul Ko, Hojeong Kim, Dae-Jin Jang, Jong-Ha Lee:
High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid Cancer. Sensors 23(7): 3451 (2023) - [c38]Sangwon Kim, Dasom Ahn, ByoungChul Ko:
Cross-Modal Learning with 3D Deformable Attention for Action Recognition. ICCV 2023: 10231-10241 - [c37]Dasom Ahn, Sangwon Kim, Hyunsu Hong, ByoungChul Ko:
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition. WACV 2023: 3319-3328 - [i3]Hyeongjin Kim, Sangwon Kim, Jong Taek Lee, ByoungChul Ko:
Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network. CoRR abs/2311.01192 (2023) - 2022
- [j36]Sangwon Kim, Mira Jeong, ByoungChul Ko:
Lightweight surrogate random forest support for model simplification and feature relevance. Appl. Intell. 52(1): 471-481 (2022) - [j35]Sangwon Kim, Jae-Yeal Nam, ByoungChul Ko:
Facial Expression Recognition Based on Squeeze Vision Transformer. Sensors 22(10): 3729 (2022) - [j34]Seon-Bin Kim, Chanhyuk Jung, Byeong-Il Kim, ByoungChul Ko:
Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition. Sensors 22(23): 9249 (2022) - [c36]Sangwon Kim, Jae-Yeal Nam, ByoungChul Ko:
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder. ICML 2022: 11162-11172 - [i2]Dasom Ahn, Sangwon Kim, Hyunsu Hong, ByoungChul Ko:
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition. CoRR abs/2210.07503 (2022) - [i1]Sangwon Kim, Dasom Ahn, ByoungChul Ko:
Cross-Modal Learning with 3D Deformable Attention for Action Recognition. CoRR abs/2212.05638 (2022) - 2021
- [j33]Sangwon Kim, Mira Jeong, ByoungChul Ko:
Self-Supervised Keypoint Detection Based on Multi-Layer Random Forest Regressor. IEEE Access 9: 40850-40859 (2021) - [j32]Jimi Lee, Mira Jeong, ByoungChul Ko:
Graph Convolution Neural Network-Based Data Association for Online Multi-Object Tracking. IEEE Access 9: 114535-114546 (2021) - [j31]Sangwon Kim, ByoungChul Ko, Jae-Yeal Nam:
Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor Data. Sensors 21(9): 3004 (2021) - [c35]Sangwon Kim, In-Su Jang, ByoungChul Ko:
Image Registration Between Real Image and Virtual Image Based on Self-supervised Keypoint Learning. ACPR (2) 2021: 402-410 - 2020
- [j30]Sangwon Kim, ByoungChul Ko:
Building Deep Random Ferns Without Backpropagation. IEEE Access 8: 8533-8542 (2020) - [j29]Mira Jeong, Jae-Yeal Nam, ByoungChul Ko:
Lightweight Multilayer Random Forests for Monitoring Driver Emotional Status. IEEE Access 8: 60344-60354 (2020) - [j28]Jimi Lee, Sangwon Kim, ByoungChul Ko:
Online Multiple Object Tracking Using Rule Distillated Siamese Random Forest. IEEE Access 8: 182828-182841 (2020) - [j27]Minji Park, ByoungChul Ko:
Two-Step Real-Time Night-Time Fire Detection in an Urban Environment Using Static ELASTIC-YOLOv3 and Temporal Fire-Tube. Sensors 20(8): 2202 (2020) - [j26]Sangwon Kim, Mira Jeong, ByoungChul Ko:
Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest. Sensors 20(18): 5141 (2020) - [j25]Mira Jeong, Minji Park, Jae-Yeal Nam, ByoungChul Ko:
Light-Weight Student LSTM for Real-Time Wildfire Smoke Detection. Sensors 20(19): 5508 (2020) - [c34]Jimi Lee, Jae-Yeal Nam, ByoungChul Ko:
Multiple pedestrian tracking using Siamese random forests and shallow Convolutional Neural Networks. Autonomous Vehicles and Machines 2020: 1-5 - [c33]Minji Park, Donghyun Son, ByoungChul Ko:
Two-Step Cascading Algorithm for Camera-based Night Fire Detection. Image Processing: Algorithms and Systems 2020
2010 – 2019
- 2019
- [j24]Sang Jun Kim, Sooyeong Kwak, ByoungChul Ko:
Fast Pedestrian Detection in Surveillance Video Based on Soft Target Training of Shallow Random Forest. IEEE Access 7: 12415-12426 (2019) - [j23]DuYeong Heo, Jae-Yeal Nam, ByoungChul Ko:
Estimation of Pedestrian Pose Orientation Using Soft Target Training Based on Teacher-Student Framework. Sensors 19(5): 1147 (2019) - [j22]Sangwon Kim, Jae-Yeal Nam, ByoungChul Ko:
Fast Depth Estimation in a Single Image Using Lightweight Efficient Neural Network. Sensors 19(20): 4434 (2019) - [c32]Sang Jun Kim, Sangwon Kim, Deokwoo Lee, ByoungChul Ko:
Depth-map estimation using combination of global deep network and local deep random forest. 3DMPD 2019: 1-5 - [c31]Sangwon Kim, Mira Jeong, Deokwoo Lee, ByoungChul Ko:
Deep Coupling of Random Ferns. CVPR Workshops 2019: 5-8 - [c30]Mira Jeong, Minji Park, ByoungChul Ko:
Intelligent Driver Emotion Monitoring Based on Lightweight Multilayer Random Forests. INDIN 2019: 280-283 - 2018
- [j21]Sang Jun Kim, Jae-Yeal Nam, ByoungChul Ko:
Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera. IEEE Access 6: 48675-48687 (2018) - [j20]ByoungChul Ko:
A Brief Review of Facial Emotion Recognition Based on Visual Information. Sensors 18(2): 401 (2018) - [j19]Mira Jeong, ByoungChul Ko:
Driver's Facial Expression Recognition in Real-Time for Safe Driving. Sensors 18(12): 4270 (2018) - [j18]Mira Jeong, ByoungChul Ko, Sooyeong Kwak, Jae-Yeal Nam:
Driver Facial Landmark Detection in Real Driving Situations. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2753-2767 (2018) - [c29]Duyoung Heo, Eunju Lee, ByoungChul Ko:
Pedestrian Detection at Night Using Deep Neural Networks and Saliency Maps. Autonomous Vehicles and Machines 2018: 1-9 - [c28]Sang Jun Kim, Jae-Yeal Nam, ByoungChul Ko:
Multiple pedestrian tracking in moving vehicle using online learning of random ferns and feature descriptor of pre-trained shallow Convolutional Neural Networks. Autonomous Vehicles and Machines 2018: 1-4 - 2017
- [j17]Mira Jeong, ByoungChul Ko, Jae-Yeal Nam:
Early Detection of Sudden Pedestrian Crossing for Safe Driving During Summer Nights. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1368-1380 (2017) - [j16]Joon Young Kwak, ByoungChul Ko, Jae-Yeal Nam:
Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night. IEEE Trans. Intell. Transp. Syst. 18(1): 69-81 (2017) - 2016
- [c27]Joon Young Kwak, Eun-Ju Lee, ByoungChul Ko, Mira Jeong:
Pedestrian's Intention Prediction Based on Fuzzy Finite Automata and Spatial-temporal Features. Video Surveillance and Transportation Imaging Applications 2016: 1-6 - [c26]Mira Jeong, Joon Young Kwak, ByoungChul Ko, Jae-Yeal Nam:
Facial landmark detection based on an ensemble of local weighted regressors during real driving situation. ICPR 2016: 2198-2203 - [c25]ByoungChul Ko, Joon Young Kwak, Jae-Yeal Nam:
Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night. Intelligent Vehicles Symposium 2016: 78-79 - 2015
- [j15]ByoungChul Ko, Hyeong Hun Kim, Jae-Yeal Nam:
Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers. Sensors 15(6): 13763-13777 (2015) - [j14]ByoungChul Ko, Ji-Hun Jung, Jae-Yeal Nam:
View-independent object detection using shared local features. J. Vis. Lang. Comput. 28: 56-70 (2015) - [j13]ByoungChul Ko, June Hyeok Hong, Jae-Yeal Nam:
Human action recognition in still images using action poselets and a two-layer classification model. J. Vis. Lang. Comput. 28: 163-175 (2015) - [c24]JaWon Gim, MinCheol Hwang, ByoungChul Ko, Jae-Yeal Nam:
Real-Time Speed-Limit Sign Detection and Recognition Using Spatial Pyramid Feature and Boosted Random Forest. ICIAR 2015: 437-445 - [c23]Joon Young Kwak, ByoungChul Ko, Jae-Yeal Nam:
Multi-person Tracking Based on Body Parts and Online Random Ferns Learning of Thermal Images. WACV 2015: 41-46 - 2014
- [j12]ByoungChul Ko, Mira Jeong, Jae-Yeal Nam:
Fast Human Detection for Intelligent Monitoring Using Surveillance Visible Sensors. Sensors 14(11): 21247-21257 (2014) - 2013
- [j11]ByoungChul Ko, JunOh Park, Jae-Yeal Nam:
Spatiotemporal bag-of-features for early wildfire smoke detection. Image Vis. Comput. 31(10): 786-795 (2013) - [c22]JunOh Park, ByoungChul Ko, Jae-Yeal Nam, Soo Yeong Kwak:
Wildfire smoke detection using spatiotemporal bag-of-features of smoke. WACV 2013: 200-205 - 2012
- [j10]ByoungChul Ko, Ji-Hyeon Lee, Jae-Yeal Nam:
Automatic medical image annotation and keyword-based image retrieval using relevance feedback. J. Digit. Imaging 25(4): 454-465 (2012) - [c21]Deok-Yeon Kim, Joon Young Kwak, ByoungChul Ko, Jae-Yeal Nam:
Human Detection Using Wavelet-Based CS-LBP and a Cascade of Random Forests. ICME 2012: 362-367 - 2011
- [j9]ByoungChul Ko, Seong-Hoon Kim, Jae-Yeal Nam:
X-ray Image Classification Using Random Forests with Local Wavelet-Based CS-Local Binary Patterns. J. Digit. Imaging 24(6): 1141-1151 (2011) - [j8]ByoungChul Ko, SunJae Ham, Jae-Yeal Nam:
Modeling and Formalization of Fuzzy Finite Automata for Detection of Irregular Fire Flames. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1903-1912 (2011) - [c20]Joon Young Kwak, ByoungChul Ko, Jae-Yeal Nam:
Forest Smoke Detection Using CCD Camera and Spatial-temporal Variation of Smoke Visual Patterns. CGIV 2011: 141-144 - [c19]Ji-Hyeon Lee, Deok-Yeon Kim, ByoungChul Ko, Jae-Yeal Nam:
Keyword Annotation of Medical Image with Random Forest Classifier and Confidence Assigning. CGIV 2011: 156-159 - [c18]ByoungChul Ko, Joon Young Kwak, June Hyeok Hong, Jae-Yeal Nam:
Current trend in natural disaster warning systems based on computer vision techniques. ACPR 2011: 648-652 - [c17]JaWon Gim, JunOh Park, Ji-Hyeon Lee, ByoungChul Ko, Jae-Yeal Nam:
A novel framework for white blood cell segmentation based on stepwise rules and morphological features. Image Processing: Machine Vision Applications 2011: 78770H - [c16]SunJae Ham, ByoungChul Ko, Jae-Yeal Nam:
Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models. Image Processing: Machine Vision Applications 2011: 78770A - 2010
- [c15]Seong-Hoon Kim, Ji-Hyun Lee, ByoungChul Ko, Jae-Yeal Nam:
X-ray image classification using Random Forests with Local Binary Patterns. ICMLC 2010: 3190-3194 - [c14]SunJae Ham, ByoungChul Ko, Jae-Yeal Nam:
Fire-Flame Detection Based on Fuzzy Finite Automation. ICPR 2010: 3919-3922
2000 – 2009
- 2009
- [j7]ByoungChul Ko, MiSuk Seo, Jae-Yeal Nam:
Microscopic Cell Nuclei Segmentation Based on Adaptive Attention Window. J. Digit. Imaging 22(3): 259-274 (2009) - [c13]JeongHee Shim, KiHee Park, ByoungChul Ko, Jae-Yeal Nam:
X-Ray Image Classification and Retrieval Using Ensemble Combination of Visual Descriptors. PSIVT 2009: 738-747 - 2007
- [j6]Soo Yeong Kwak, ByoungChul Ko, Hyeran Byun:
Salient human detection for robot vision. Pattern Anal. Appl. 10(4): 291-299 (2007) - [c12]ByoungChul Ko, MiSuk Seo, Jae-Yeal Nam:
Microscopic Image Segmentation for the Clinical Support System. CGIV 2007: 489-494 - 2006
- [c11]MiSuk Seo, ByoungChul Ko, Hong Chung, Jae-Yeal Nam:
ROI-Based Medical Image Retrieval Using Human-Perception and MPEG-7 Visual Descriptors. CIVR 2006: 231-240 - [c10]ByoungChul Ko, Jae-Yeal Nam:
Automatic Object-of-Interest segmentation from natural images. ICPR (4) 2006: 45-48 - 2005
- [j5]ByoungChul Ko, Hyeran Byun:
FRIP: a region-based image retrieval tool using automatic image segmentation and stepwise Boolean AND matching. IEEE Trans. Multim. 7(1): 105-113 (2005) - 2004
- [c9]ByoungChul Ko, Soo Yeong Kwak, Hyeran Byun:
SVM-based Salient Region(s) Extraction Method for Image Retrieval. ICPR (2) 2004: 977-980 - [c8]Soo Yeong Kwak, ByoungChul Ko, Hyeran Byun:
Automatic Salient-Object Extraction Using the Contrast Map and Salient Points. PCM (2) 2004: 138-145 - 2003
- [j4]Hyeran Byun, ByoungChul Ko:
Robust Face Detection and Tracking for Real-Life Applications. Int. J. Pattern Recognit. Artif. Intell. 17(6): 1035-1055 (2003) - [j3]ByoungChul Ko, Hyeran Byun:
Extracting Salient Regions And Learning Importance Scores In Region-Based Image Retrieval. Int. J. Pattern Recognit. Artif. Intell. 17(8): 1349-1367 (2003) - 2002
- [j2]ByoungChul Ko, Hyeran Byun:
Query-by-Gesture: An Alternative Content-Based Image Retrieval Query Scheme. J. Vis. Lang. Comput. 13(4): 375-390 (2002) - [c7]ByoungChul Ko, Hyeran Byun:
Multiple Regions and Their Spatial Relationship-Based Image Retrieval. CIVR 2002: 81-90 - [c6]ByoungChul Ko, Hyeran Byun:
Probabilistic Neural Networks Supporting Multi-Class Relevance Feedback in Region-Based Image Retrieval. ICPR (4) 2002: 138-141 - [c5]ByoungChul Ko, Hyeran Byun:
Integrated Region-Based Image Retrieval Using Region??s Spatial Relationships. ICPR (1) 2002: 196-199 - [c4]InYoung Jang, ByoungChul Ko, Hyeran Byun, Yeongwoo Choi:
Automatic text extraction in news images using morphology. VCIP 2002: 521-530 - 2001
- [j1]ByoungChul Ko, Jing Peng, Hyeran Byun:
Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. Pattern Anal. Appl. 4(2-3): 174-184 (2001) - [c3]ByoungChul Ko, Jing Peng, Hyeran Byun:
A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. ICME 2001 - 2000
- [c2]ByoungChul Ko, Hae-Sung Lee, Hyeran Byun:
Region-Based Image Retrieval System Using Efficient Feature Description. ICPR 2000: 4283-4286 - [c1]ByoungChul Ko, Hae-Sung Lee, Hyeran Byun:
Image Retrieval Using Flexible Image Subblocks. SAC (2) 2000: 574-578
Coauthor Index
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