Modeling of saccadic movements using neural networks. - Minho Lee 001; Sang-Woo Ban; Jun-Ki Cho; Chang-Jin Seo; Soon Ki Jung (IJCNN, 1999)

Multiagent-Based Distance Learning Framework Using CORBA. - Mok-Dong Chung; Sang-Woo Ban; Suk-Min Kang; An-Na Kim (IMSA, 1999)

Implementation of Visual Attention System Using Bottom-up Saliency Map Model. - Sang-Jae Park; Sang-Woo Ban; Jang-Kyoo Shin; Minho Lee 001 (ICANN, 2003)

Face detection using biologically motivated saliency map model. - Sang-Woo Ban; Jang-Kyoo Shin; Minho Lee 001 (IJCNN, 2003)

Biologically Motivated Trainable Selective Attention Model Using Adaptive Resonance Theory Network. - Sang-Bok Choi; Sang-Woo Ban; Minho Lee 001; Jang-Kyoo Shin; Dae-Wha Seo; Hyun Seung Yang (BioADIT, 2004)

A Biologically Inspired Active Stereo Vision System Using a Bottom-Up Saliency Map Model. - Bum-Soo Jung; Sang-Bok Choi; Sang-Woo Ban; Minho Lee 001 (ICAISC, 2004)

Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism. - Sang-Bok Choi; Sang-Woo Ban; Minho Lee 001 (ICONIP, 2004)

Biologically Motivated Visual Selective Attention for Face Localization. - Sang-Woo Ban; Minho Lee 001 (WAPCV, 2004)

A face detection using biologically motivated bottom-up saliency map model and top-down perception model. - Sang-Woo Ban; Minho Lee 001; Hyun Seung Yang (Neurocomputing, 2004)

Novelty Analysis in Dynamic Scene for Autonomous Mental Development. - Sang-Woo Ban; Minho Lee 001 (ICANN (1), 2005)

Autonomous Robot Vision System for Environment Recognition. - Woong-Jae Won; Sang-Woo Ban; Minho Lee 001 (IAS, 2006)

Selective Motion Analysis Based on Dynamic Visual Saliency Map Model. - Inwon Lee; Sang-Woo Ban; Kunihiko Fukushima; Minho Lee 001 (ICAISC, 2006)

Biologically Motivated Face Selective Attention System. - Woong-Jae Won; Sang-Woo Ban; Jaekyoung Moon; Minho Lee 001 (IJCNN, 2006)

Selective attention-based novelty scene detection in dynamic environments. - Sang-Woo Ban; Minho Lee 001 (Neurocomputing, 2006)

Biologically motivated vergence control system using human-like selective attention model. - Sang-Bok Choi; Bum-Soo Jung; Sang-Woo Ban; Hirotaka Niitsuma; Minho Lee 001 (Neurocomputing, 2006)

Incremental Feature Extraction and Object Representation Based on Dynamic Visual Selective Attention. - Jiyoung Yeo; Sang-Woo Ban; Inwon Lee; Minho Lee 001 (IC-AI, 2007)

Stereo Saliency Map Considering Affective Factors in a Dynamic Environment. - Young-Min Jang; Sang-Woo Ban; Minho Lee 001 (ICONIP (2), 2007)

Incremental Knowledge Representation Based on Visual Selective Attention. - Minho Lee 001; Sang-Woo Ban (ICONIP (2), 2007)

Biologically Motivated Face Selective Attention Model. - Woong-Jae Won; Young-Min Jang; Sang-Woo Ban; Minho Lee 001 (ICONIP (1), 2007)

Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention. - Sang-Woo Ban; Minho Lee 001 (IJCNN, 2007)

Biologically Motivated Incremental Object Perception Based on Selective Attention. - Woong-Jae Won; Jiyoung Yeo; Sang-Woo Ban; Minho Lee 001 (Int. J. Pattern Recognit. Artif. Intell., 2007)

Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car. - Sungmoon Jeong; Sang-Woo Ban; Minho Lee 001 (ICMLA, 2008)

Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART. - Byungku Hwang; Sang-Woo Ban; Minho Lee 001 (IDEAL, 2008)

Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention. - Bumhwi Kim; Sang-Woo Ban; Minho Lee 001 (IDEAL, 2008)

Dynamic visual selective attention model. - Sang-Woo Ban; Inwon Lee; Minho Lee 001 (Neurocomputing, 2008)

Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment. - Sungmoon Jeong; Sang-Woo Ban; Minho Lee 001 (Neural Networks, 2008)

Multiple Occluded Face Detection Based on Binocular Saliency Map. - Bumhwi Kim; Sang-Woo Ban; Minho Lee 001 (ICONIP (1), 2009)

(2D)2PCA-ICA: A New Approach for Face Representation and Recognition. - Dongmin Jeong; Sang-Woo Ban; Minho Lee 001 (SMC, 2009)

Office-mate: Selective attention and incremental object perception. - Minho Lee 001; Young-Min Jang; Sang-Woo Ban (SMC, 2009)

Self-Motivated Autonomous Robot With A Trainable Selective Attention Model. - Woong-Jae Won; Sang-Woo Ban; Minho Lee 001 (Intell. Autom. Soft Comput., 2009)

Visual Selective Attention Model Considering Bottom-Up Saliency and Psychological Distance. - Young-Min Jang; Sang-Woo Ban; Minho Lee 001 (ICONIP (1), 2010)

Input and Output Mapping Sensitive Auto-Associative Multilayer Perceptron for Computer Interface System Based on Image Processing of Laser Pointer Spot. - Chanwoong Jung; Sang-Woo Ban; Sungmoon Jeong; Minho Lee 001 (ICONIP (2), 2010)

Top-down visual selective attention model combined with bottom-up saliency map for incremental object perception. - Sang-Woo Ban; Bumhwi Kim; Minho Lee 001 (IJCNN, 2010)

Human Augmented Cognition Based on Integration of Visual and Auditory Information. - Woong-Jae Won; Wono Lee; Sang-Woo Ban; Minook Kim; Hyung-Min Park; Minho Lee 001 (PRICAI, 2010)

Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model. - Wono Lee; Giyoung Lee; Sang-Woo Ban; Il-Kyun Jung; Minho Lee 001 (ICONIP (3), 2011)

Mobile Embedded Health-Care System Working on Wireless Sensor Network. - Hye-Jin Lee; Dong-Oh Kim; Bub-Joo Kang; Sang-Woo Ban (CMC, 2011)

Affective saliency map considering psychological distance. - Sang-Woo Ban; Young-Min Jang; Minho Lee 001 (Neurocomputing, 2011)

Growing fuzzy topology adaptive resonance theory models with a push-pull learning algorithm. - Bumhwi Kim; Sang-Woo Ban; Minho Lee 001 (Neurocomputing, 2011)

Novel input and output mapping-sensitive error back propagation learning algorithm for detecting small input feature variations. - Chanwoong Jung; Cheol-Su Kim; Sang-Woo Ban; Il-Kyu Hwang; Minho Lee 001 (Neural Comput. Appl., 2012)

Top-down attention based on object representation and incremental memory for knowledge building and inference. - Bumhwi Kim; Sang-Woo Ban; Minho Lee 001 (Neural Networks, 2013)

Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset. - Yubin Yoo; Hangyeol Jo; Sang-Woo Ban (Sensors, 2023)