A fast computational method for minimum square error transform. - Seong-Whan Lee; Jin Hyung Kim; Frans C. A. Groen (ICPR, 1988)

A fast computational method for minimum square error transform. - Seong-Whan Lee; Jin Hyung Kim (Pattern Recognit. Lett., 1988)

Classification of similar line-drawing patterns with attributed graph matching. - Seong-Whan Lee (SMC, 1989)

Unconstrained seal imprint verification using attributed stroke graph matching. - Seong-Whan Lee; Jin Hyung Kim (Pattern Recognit., 1989)

Attributed stroke graph matching for seal imprint verification. - Seong-Whan Lee; Jin Hyung Kim (Pattern Recognit. Lett., 1989)

Translation-, Rotation- and Scale- Invariant Recognition of Hand-Drawn Symbols in Schematic Diagrams. - Seong-Whan Lee; Jin Hyung Kim; Frans C. A. Groen (Int. J. Pattern Recognit. Artif. Intell., 1990)

Thinning Methodologies - A Comprehensive Survey. - Louisa Lam; Seong-Whan Lee; Ching Y. Suen (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Efficient postprocessing algorithms for error correction in handwritten Hangul address and human name recognition. - Seong-Whan Lee; Eun-Soon Kim; B.-W. Min (ICDAR, 1993)

Performance evaluation of nonlinear shape normalization methods for the recognition of large-set handwritten characters. - Seong-Whan Lee; Jeong-Seon Park; Y. Tang (ICDAR, 1993)

Optimal design of reference models using simulated annealing combined with an improved LVQ3. - Seong-Whan Lee; Hee-Heon Song (ICDAR, 1993)

Large-set handwritten character recognition with multiple stochastic models. - Hee-Seon Park; Seong-Whan Lee (ICDAR, 1993)

VLSI implementation for HVRI algorithm in pattern recognition. - Yuan Yan Tang; Tao Li; Seong-Whan Lee (ICDAR, 1993)

A Systematic Evaluation of Skeletonization Algorithms. - Seong-Whan Lee; Louisa Lam; Ching Y. Suen (Int. J. Pattern Recognit. Artif. Intell., 1993)

Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network. - Seong-Whan Lee; Young-Joon Kim (ICPR (2), 1994)

Locating destination address block on handwritten Korean envelopes. - Seong-Whan Lee; Ki-Cheol Kim (ICPR (2), 1994)

Shape restoration of nonlinear distorted images. - Seong-Whan Lee; Eun-Soon Kim (ICPR (3), 1994)

Efficient postprocessing algorithms for error correction in handwritten Hangul address and human name recognition. - Seong-Whan Lee; Eun-Soon Kim (Pattern Recognit., 1994)

Address block location on handwritten Korean envelopes by the merging and splitting method. - Seong-Whan Lee; Ki-Cheol Kim (Pattern Recognit., 1994)

Nonlinear shape normalization methods for the recognition of large-set handwritten characters. - Seong-Whan Lee; Jeong-Seon Park (Pattern Recognit., 1994)

Optimal design of reference models for large-set handwritten character recognition. - Seong-Whan Lee; Hee-Heon Song (Pattern Recognit., 1994)

Parallel hardware implementation of handwritten character recognition system on wavefront array processor architecture. - Young-Joon Kim; Seong-Whan Lee; Myung-Won Kim (ICDAR, 1995)

Contextual postprocessing of a Korean OCR system by linguistic constraints. - Hyuk-Chul Kwon; Ho-Jeong Hwang; Min-Jung Kim; Seong-Whan Lee (ICDAR, 1995)

Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network. - Seong-Whan Lee; Jong Soo Kim (ICDAR, 1995)

A new type of recurrent neural network for handwritten character recognition. - Seong-Whan Lee; Young-Joon Kim (ICDAR, 1995)

Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network. - Seong-Whan Lee; Young-Joon Kim (ICDAR, 1995)

A new methodology for gray-scale character segmentation and recognition. - Dong-June Lee; Seong-Whan Lee (ICDAR, 1995)

Hidden Markov mesh random field: theory and its application to handwritten character recognition. - Hee-Seon Park; Seong-Whan Lee (ICDAR, 1995)

Faxed image restoration using Kalman filtering. - Myoung-Young Yoon; Seong-Whan Lee; Ju-Sung Kim (ICDAR, 1995)

Multilayer cluster neural network for totally unconstrained handwritten numeral recognition. - Seong-Whan Lee (Neural Networks, 1995)

Direct Extraction of Topographic Features for Gray Scale Character Recognition. - Seong-Whan Lee; Young-Joon Kim (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Modeling and recognition of cursive words with hidden Markov models. - Wongyu Cho; Seong-Whan Lee; Jin Hyung Kim (Pattern Recognit., 1995)

Adaptive nonlinear shape matching for unconstrained handwritten character recognition. - Jeong-Seon Park; Seong-Whan Lee (Pattern Recognit., 1995)

Integrated segmentation and recognition of connected handwritten characters with recurrent neural network. - Seong-Whan Lee; Eung-Jae Lee (Document Recognition, 1996)

An HMMRF-based statistical approach for off-line handwritten character recognition. - Hee-Seon Park; Seong-Whan Lee (ICPR, 1996)

A new recurrent neural network architecture for pattern recognition. - Hee-Heon Song; Sun-Mee Kang; Seong-Whan Lee (ICPR, 1996)

LVQ combined with simulated annealing for optimal design of large-set reference models. - Hee-Heon Song; Seong-Whan Lee (Neural Networks, 1996)

Off-Line Recognition of Totally Unconstrained Handwritten Numerals Using Multilayer Cluster Neural Network. - Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

A New Methodology for Gray-Scale Character Segmentation and Recognition. - Seong-Whan Lee; Dong-June Lee; Hee-Seon Park (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Correction to "A New Methodology for Gray-Scale Character Segmentation and Recognition". - Seong-Whan Lee; Dong-June Lee; Hee-Seon Park (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Multiresolution recognition of unconstrained handwritten numerals with wavelet transform and multilayer cluster neural network. - Seong-Whan Lee; Chang-Hun Kim; Hong Ma 001; Yuan Yan Tang (Pattern Recognit., 1996)

Nonlinear shape restoration of distorted images with coons transformation. - Seong-Whan Lee; Eun-Soon Kim; Yuan Yan Tang (Pattern Recognit., 1996)

Off-line recognition of large-set handwritten characters with multiple hidden Markov models. - Hee-Seon Park; Seong-Whan Lee (Pattern Recognit., 1996)

Automatic document processing: A survey. - Yuan Yan Tang; Seong-Whan Lee; Ching Y. Suen (Pattern Recognit., 1996)

Gray-scale handwritten character recognition based on principal features. - Hee-Seon Park; Sang-Yup Kim; Seong-Whan Lee (Document Recognition, 1997)

Nonlinear Shape Normalization Methods for Gray-Scale Handwritten Character Recognition. - Sang-Yup Kim; Seong-Whan Lee (ICDAR, 1997)

Editorial. - Seong-Whan Lee (Pattern Recognit., 1997)

A new recurrent neural-network architecture for visual pattern recognition. - Seong-Whan Lee; Hee-Heon Song (IEEE Trans. Neural Networks, 1997)

Structure Analysis of Low Resolution Fax Cover Pages. - Young-Kyu Lim; Hee-Joong Kang; Chang Ahn; Seong-Whan Lee (Document Analysis Systems, 1998)

Table Structure Extraction from Form Documents. - Dihua Xi; Seong-Whan Lee (Document Analysis Systems, 1998)

Temporal segmentation and selective attention in the stochastic oscillator neural network. - Seung Kee Han; Won Sup Kim; Hyungtae Kook; Seong-Whan Lee (ICPR, 1998)

Automatic video parsing using shot boundary detection and camera operation analysis. - Mee-Sook Lee; Bon-Woo Hwang; Sanghoon Sull; Seong-Whan Lee (ICPR, 1998)

Editorial. - David S. Doermann; Seong-Whan Lee; Sargur N. Srihari; Karl Tombre; Azriel Rosenfeld (Int. J. Document Anal. Recognit., 1998)

Gray-Scale Nonlinear Shape Normalization Method for Handwritten Oriental Character Recognition. - Sang-Yup Kim; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 1998)

A Self-Organizing Hierarchical Classifier for Multi-Lingual Large-Set Oriental Character Recognition. - Hee-Seon Park; Hee-Heon Song; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 1998)

Offline Recognition of Chinese Handwriting by Multifeature and Multilevel Classification. - Yuan Yan Tang; Lo-Ting Tu; Jiming Liu 001; Seong-Whan Lee; Win-Win Lin; Ing-Shyh Shyu (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

A truly 2-D hidden Markov model for off-line handwritten character recognition. - Hee-Seon Park; Seong-Whan Lee (Pattern Recognit., 1998)

A self-organizing neural tree for large-set pattern classification. - Hee-Heon Song; Seong-Whan Lee (IEEE Trans. Neural Networks, 1998)

A Dependency-based Framework of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals. - Hee-Joong Kang; Seong-Whan Lee (CVPR, 1999)

Information Capturing Camera and Developmental Issues. - Hiromichi Fujisawa; Hiroshi Sako; Yoshihiro Okada; Seong-Whan Lee (ICDAR, 1999)

Combining Classifiers based on Minimization of a Bayes Error Rate. - Hee-Joong Kang; Seong-Whan Lee (ICDAR, 1999)

A Novel Method for Discriminating between Oriental and European Languages by Fractal Features. - Dihua Xi; Seong-Whan Lee; Yuan Yan Tang (ICDAR, 1999)

Frontiers in Handwriting Recognition. - Seong-Whan Lee (Int. J. Document Anal. Recognit., 1999)

Integrated segmentation and recognition of handwritten numerals with cascade neural network. - Seong-Whan Lee; Sang-Yup Kim (IEEE Trans. Syst. Man Cybern. Part C, 1999)

Advances in Handwriting Recognition - Seong-Whan Lee (WorldScientific, 1999)

Face Reconstruction Using a Small Set of Feature Points. - Bon-Woo Hwang; Volker Blanz; Thomas Vetter; Seong-Whan Lee (Biologically Motivated Computer Vision, 2000)

Multiple Object Tracking in Multiresolution Image Sequences. - Seonghoon Kang; Seong-Whan Lee (Biologically Motivated Computer Vision, 2000)

Dynamic Vergence Using Disparity Flux. - Hee-Jeong Kim; Myung-Hyun Yoo; Seong-Whan Lee (Biologically Motivated Computer Vision, 2000)

Fast Distance Computation with a Stereo Head-Eye System. - Sang-Cheol Park; Seong-Whan Lee (Biologically Motivated Computer Vision, 2000)

Multiple People Tracking Using a Appearance Model Based on Temporal Color. - Hyung-Ki Roh; Seong-Whan Lee (Biologically Motivated Computer Vision, 2000)

Stability Analysis of Medial Axis Transform under Relative Hausdorff Distance. - Sung Woo Choi; Seong-Whan Lee (ICPR, 2000)

Pre-Attentive Detection of Perceptually Important Regions in Facial Images. - Alexander Golovan; Myung-Hyun Yoo; Seong-Whan Lee (ICPR, 2000)

Face Reconstruction from a Small Number of Feature Points. - Bon-Woo Hwang; Seong-Whan Lee; Volker Blanz; Thomas Vetter (ICPR, 2000)

An Information-Theoretic Strategy for Constructing Multiple Classifier Systems. - Hee-Joong Kang; Seong-Whan Lee (ICPR, 2000)

Retrieval of the Top N Matches with Support Vector Machines. - Jae-Jin Kim; Bon-Woo Hwang; Seong-Whan Lee (ICPR, 2000)

A New Methodology to the Design of Associative Memories Based on Cellular Neural Networks. - Hye-Yeon Kim; Jooyoung Park 001; Seong-Whan Lee (ICPR, 2000)

A Control Model for Vergence Movement on a Stereo Robotic Head Using Disparity Flux. - Hee-Jeong Kim; Myung-Hyun Yoo; Seong-Whan Lee (ICPR, 2000)

Automatic Generation of Structured Hyperdocuments from Multi-Column Document Images. - Ji-Yeon Lee; Song-Ha Choi; Seong-Whan Lee (ICPR, 2000)

Text Extraction in MPEG Compressed Video for Content-Based Indexing. - Young-Kyu Lim; Song-Ha Choi; Seong-Whan Lee (ICPR, 2000)

Automatic Quality Measurement of Gray-Scale Handwriting Based on Extended Average Entropy. - Jeong-Seon Park; Hee-Joong Kang; Seong-Whan Lee (ICPR, 2000)

A Hybrid Neural System for Phonematic Transformation. - Igor T. Podolak; Seong-Whan Lee; Andrzej Bielecki; Elzbieta Majkut (ICPR, 2000)

Multiple People Tracking Using an Appearance Model Based on Temporal Color. - Hyung-Ki Roh; Seonghoon Kang; Seong-Whan Lee (ICPR, 2000)

Parameter-Independent Geometric Document Layout Analysis. - Dae-Seok Ryu; Seong-Whan Lee; Sun-Mee Kang (ICPR, 2000)

Region tracking using perspective motion model. - Song-Ha Choi; Seong-Whan Lee (Pattern Recognit., 2000)

Fast Scene Change Detection using Direct Feature Extraction from MPEG Compressed Videos. - Seong-Whan Lee; Young-Min Kim; Sung Woo Choi (IEEE Trans. Multim., 2000)

Experimental Results on the Construction of Multiple Classifiers Recognizing Handwritten Numerals. - Hee-Joong Kang; Seong-Whan Lee (ICDAR, 2001)

Character Spotting Using Image-Based Stochastic Models. - Seon-Kyu Kim; Bong-Kee Sin; Seong-Whan Lee (ICDAR, 2001)

A Real-time Color-based Object Tracking robust to Irregular Illumination Variations. - Bum-Jae You; Yong-Beom Lee; Seong-Whan Lee (ICRA, 2001)

A 2-D HMM Method for Offline Handwritten Character Recognition. - Hee-Seon Park; Bong-Kee Sin; Jongsub Moon; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2001)

Parameter-Free Geometric Document Layout Analysis. - Seong-Whan Lee; Dae-Seok Ryu (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Automatic video parsing using shot boundary detection and camera operation analysis. - Mee-Sook Lee; Yun-Mo Yang; Seong-Whan Lee (Pattern Recognit., 2001)

Face Reconstruction from Partial Information Based on a Morphable Face Model. - Bon-Woo Hwang; Seong-Whan Lee (Biologically Motivated Computer Vision, 2002)

Object Detection and Classification for Outdoor Walking Guidance System. - Seonghoon Kang; Seong-Whan Lee (Biologically Motivated Computer Vision, 2002)

Scene Text Extraction in Complex Images. - Hyeran Byun; Myung-Cheol Roh; Kil-Cheon Kim; Yeongwoo Choi; Seong-Whan Lee (Document Analysis Systems, 2002)

Facial Component Extraction and Face Recognition with Support Vector Machines. - Dihua Xi; Igor T. Podolak; Seong-Whan Lee (FGR, 2002)

Face Reconstruction with a Morphable Face Model. - Bon-Woo Hwang; Seong-Whan Lee (ICPR (2), 2002)

Evaluation on Selection Criteria of Multiple Numeral Recognizers with the Fixed Number of Recognizers. - Hee-Joong Kang; Seong-Whan Lee (ICPR (3), 2002)

Face Detection and Facial Feature Extraction Using Support Vector Machines. - Dihua Xi; Seong-Whan Lee (ICPR (4), 2002)

Applications of Support Vector Machines for Pattern Recognition: A Survey. - Hyeran Byun; Seong-Whan Lee (SVM, 2002)

Face Detection Based on Support Vector Machines. - Dihua Xi; Seong-Whan Lee (SVM, 2002)

Real-time tracking of multiple objects in space-variant vision based on magnocellular visual pathway. - Seonghoon Kang; Seong-Whan Lee (Pattern Recognit., 2002)

Automatic generation of structured hyperdocuments from document images. - Ji-Yeon Lee; Jeong-Seon Park; Hyeran Byun; Jongsub Moon; Seong-Whan Lee (Pattern Recognit., 2002)

Performance Evaluation of Face Recognition Algorithms on the Asian Face Database, KFDB. - Bon-Woo Hwang; Hyeran Byun; Myung-Cheol Roh; Seong-Whan Lee (AVBPA, 2003)

Synthesis of High-Resolution Facial Image Based on Top-Down Learning. - Bon-Woo Hwang; Jeong-Seon Park; Seong-Whan Lee (AVBPA, 2003)

Real-Time Implementation of Face Recognition Algorithms on DSP Chip. - Seong-Whan Lee; Sang-Woong Lee; Ho-Choul Jung (AVBPA, 2003)

Glasses Removal from Facial Image Using Recursive PCA Reconstruction. - Jeong-Seon Park; You Hwa Oh; Sang Chul Ahn; Seong-Whan Lee (AVBPA, 2003)

Face Detection and Facial Component Extraction by Wavelet Decomposition and Support Vector Machines. - Dihua Xi; Seong-Whan Lee (AVBPA, 2003)

Automatic Pedestrian Detection and Tracking for Real-Time Video Surveillance. - Hee-Deok Yang; Bong-Kee Sin; Seong-Whan Lee (AVBPA, 2003)

Reference Line Extraction from Form Documents with Complicated Backgrounds. - Dihua Xi; Seong-Whan Lee (ICDAR, 2003)

Multiple People Tracking Based on Temporal Color Feature. - Seonghoon Kang; Bon-Woo Hwang; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2003)

Real-Time Pedestrian Detection Using Support Vector Machines. - Seonghoon Kang; Hyeran Byun; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2003)

A Survey on Pattern Recognition Applications of Support Vector Machines. - Hyeran Byun; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2003)

Editorial: Support Vector Machines for Computer Vision and Pattern Recognition. - Seong-Whan Lee; Alessandro Verri (Int. J. Pattern Recognit. Artif. Intell., 2003)

Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model. - Bon-Woo Hwang; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Performance Evaluation of Face Recognition Algorithms on Asian Face Database. - Bon-Woo Hwang; Myung-Cheol Roh; Seong-Whan Lee (FGR, 2004)

Authenticating Corrupted Face Image Based on Noise Model. - Ho-Choul Jung; Bon-Woo Hwang; Seong-Whan Lee (FGR, 2004)

Resolution Enhancement of Facial Image Using An Error Back-Projection of Example-based Learning. - Jeong-Seon Park; Seong-Whan Lee (FGR, 2004)

Corrupted Face Image Authentication Based on Noise Model. - Ho-Choul Jung; Bon-Woo Hwang; Sang-Woong Lee; Seong-Whan Lee (ICBA, 2004)

Reconstruction of High-Resolution Facial Image Using Recursive Error Back-Projection. - Jeong-Seon Park; Seong-Whan Lee (ICBA, 2004)

Object Boundary Edge Selection for Accurate Contour Tracking Using Multi-level Canny Edges. - Tae-Yong Kim; Jihun Park; Seong-Whan Lee (ICIAR (2), 2004)

Object Boundary Edge Selection Using Normal Direction Derivatives of a Contour in a Complex Scene. - Tae-Yong Kim; Jihun Park; Seong-Whan Lee (ICPR (4), 2004)

Enhancing Low-Resolution Facial Images Using Error Back-Projection for Human Identification at a Distance. - Jeong-Seon Park; Seong-Whan Lee (ICPR (1), 2004)

Automatic Microarray Image Segmentation Based on Watershed Transformation. - Chang-Beom Park; Kwang-Woo Lee; Seong-Whan Lee (ICPR (3), 2004)

Multiple Pedestrian Detection and Tracking based on Weighted Temporal Texture Features. - Hee-Deok Yang; Seong-Whan Lee (ICPR (4), 2004)

Object Boundary Edge Selection for Human Body Tracking Using Level-of-Detail Canny Edges. - Tae-Yong Kim; Jihun Park; Seong-Whan Lee (PRICAI, 2004)

How Can We Reconstruct Facial Image from Partially Occluded or Low-Resolution One?. - Seong-Whan Lee; Jeong-Seon Park; Bon-Woo Hwang (SINOBIOMETRICS, 2004)

Qualitative estimation of camera motion parameters from the linear composition of optical flow. - Sang-Cheol Park; Hyoung-Suk Lee; Seong-Whan Lee (Pattern Recognit., 2004)

Authenticating Corrupted Facial Images on Stand-Alone DSP System. - Sang-Woong Lee; Ho-Choul Jung; Seong-Whan Lee (AVBPA, 2005)

Illumination Invariant Face Recognition Using Linear Combination of Face Exemplars. - Song-Hyang Moon; Sang-Woong Lee; Seong-Whan Lee (AVBPA, 2005)

Stepwise Reconstruction of High-Resolution Facial Image Based on Interpolated Morphable Face Model. - Jeong-Seon Park; Seong-Whan Lee (AVBPA, 2005)

Gesture Spotting in Continuous Whole Body Action Sequences Using Discrete Hidden Markov Models. - A-Youn Park; Seong-Whan Lee (Gesture Workshop, 2005)

Estimating 3D Human Body Pose from Stereo Image Sequences. - Hee-Deok Yang; Sung-Kee Park; Seong-Whan Lee (Gesture Workshop, 2005)

Estimating 3D Object Coordinates from Markerless Scenes. - Ki Woon Kwon; Sung Wook Baik; Seong-Whan Lee (International Conference on Computational Science (3), 2005)

Skew Estimation and Correction for Form Documents Using Wavelet Decomposition. - Dihua Xi; Mohamed Kamel; Seong-Whan Lee (ICIAR, 2005)

2D and 3D Full-Body Gesture Database for Analyzing Daily Human Gestures. - Bon-Woo Hwang; Sungmin Kim; Seong-Whan Lee (ICIC (1), 2005)

Robust Face Recognition Across Lighting Variations Using Synthesized Exemplars. - Sang-Woong Lee; Song-Hyang Moon; Seong-Whan Lee (ICIC (1), 2005)

Object Tracking with Probabilistic Hausdorff Distance Matching. - Sang-Cheol Park; Seong-Whan Lee (ICIC (1), 2005)

Real-Time Gesture Recognition Using 3D Motion History Model. - Ho-Kuen Shin; Sang-Woong Lee; Seong-Whan Lee (ICIC (1), 2005)

Protein Secondary Structure Prediction Using Sequence Profile and Conserved Domain Profile. - Seon-Kyung Woo; Chang-Beom Park; Seong-Whan Lee (ICIC (2), 2005)

Reconstruction of 3D Human Body Pose Based on Top-Down Learning. - Hee-Deok Yang; Sung-Kee Park; Seong-Whan Lee (ICIC (1), 2005)

Combination of multiple classifiers by minimizing the upper bound of bayes error rate for unconstrained handwritten numeral recognition. - Hee-Joong Kang; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2005)

Glasses Removal from Facial Image Using Recursive Error Compensation. - Jeong-Seon Park; You Hwa Oh; Sang Chul Ahn; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Tracking non-rigid objects using probabilistic Hausdorff distance matching. - Sang-Cheol Park; Sung-Hoon Lim; Bong-Kee Sin; Seong-Whan Lee (Pattern Recognit., 2005)

Extraction of reference lines and items from form document images with complicated background. - Dihua Xi; Seong-Whan Lee (Pattern Recognit., 2005)

Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video. - Myung-Cheol Roh; William J. Christmas; Josef Kittler; Seong-Whan Lee (ECCV (4), 2006)

Human Action Recognition Using Multi-View Image Sequences Features. - Mohiuddin Ahmad; Seong-Whan Lee (FGR, 2006)

A Full-Body Gesture Database for Automatic Gesture Recognition. - Bon-Woo Hwang; Sungmin Kim; Seong-Whan Lee (FGR, 2006)

Automatic Gesture Recognition for Intelligent Human-Robot Interaction. - Seong-Whan Lee (FGR, 2006)

Gesture Spotting in Low-Quality Video with Features Based on Curvature Scale Space. - Myung-Cheol Roh; William J. Christmas; Josef Kittler; Seong-Whan Lee (FGR, 2006)

Robust Spotting of Key Gestures from Whole Body Motion Sequence. - Hee-Deok Yang; A-Yeon Park; Seong-Whan Lee (FGR, 2006)

Facial Image Reconstruction by SVDD-Based Pattern De-noising. - Jooyoung Park 001; Daesung Kang; James T. Kwok; Sang-Woong Lee; Bon-Woo Hwang; Seong-Whan Lee (ICB, 2006)

Reconstruction of 3D Human Body Pose for Gait Recognition. - Hee-Deok Yang; Seong-Whan Lee (ICB, 2006)

HMM-based Human Action Recognition Using Multiview Image Sequences. - Mohiuddin Ahmad; Seong-Whan Lee (ICPR (1), 2006)

Tracking 3D Human Body using Particle Filter in Moving Monocular Camera. - Sungmin Kim; Chang-Beom Park; Seong-Whan Lee (ICPR (4), 2006)

Face Reconstruction with Low Resolution Facial Images by Feature Vector Projection in Kernel Space. - Sang-Woong Lee; Jooyoung Park 001; Seong-Whan Lee (ICPR (3), 2006)

Superimposing 3D Virtual Objects using Markerless Tracking. - Sang-Cheol Park; Sang-Woong Lee; Seong-Whan Lee (ICPR (3), 2006)

Gesture Detection in Low-Quality Video. - Myung-Cheol Roh; Seong-Whan Lee (ICPR (4), 2006)

Volume Motion Template for View-Invariant Gesture Recognition. - Myung-Cheol Roh; Ho-Kuen Shin; Sang-Woong Lee; Seong-Whan Lee (ICPR (2), 2006)

Automatic Physiognomic Analysis by Classifying Facial Component Feature. - Hee-Deok Yang; Seong-Whan Lee (ICPR (2), 2006)

Reconstructing 3D Human Body Pose from Stereo Image Sequences Using Hierarchical Human Body Model Learning. - Hee-Deok Yang; Seong-Whan Lee (ICPR (3), 2006)

Human-Robot Interaction by Whole Body Gesture Spotting and Recognition. - Hee-Deok Yang; A-Yeon Park; Seong-Whan Lee (ICPR (4), 2006)

Multiple Human Detection and Tracking Based on Weighted Temporal Texture Features. - Hee-Deok Yang; Sang-Woong Lee; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2006)

Authenticating corrupted photo images based on noise parameter estimation. - Sang-Woong Lee; Ho-Choul Jung; Bon-Woo Hwang; Seong-Whan Lee (Pattern Recognit., 2006)

Low resolution face recognition based on support vector data description. - Sang-Woong Lee; Jooyoung Park 001; Seong-Whan Lee (Pattern Recognit., 2006)

Reconstructing a Whole Face Image from a Partially Damaged or Occluded Image by Multiple Matching. - Bon-Woo Hwang; Seong-Whan Lee (ICB, 2007)

SVDD-Based Illumination Compensation for Face Recognition. - Sang-Woong Lee; Seong-Whan Lee (ICB, 2007)

Region-Based Reconstruction for Face Hallucination. - Jeong-Seon Park; Junseak Lee; Seong-Whan Lee (MMM (1), 2007)

An embedded face verification system against image degradation. - Sang-Woong Lee; Seong-Whan Lee (SMC, 2007)

A Full-Body Gesture Database for Human Gesture Analysis. - Bon-Woo Hwang; Sungmin Kim; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2007)

Performance Analysis of Face Recognition Algorithms on Korean Face Database. - Myung-Cheol Roh; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2007)

Face recognition under arbitrary illumination using illuminated exemplars. - Sang-Woong Lee; Song-Hyang Moon; Seong-Whan Lee (Pattern Recognit., 2007)

Accurate object contour tracking based on boundary edge selection. - Myung-Cheol Roh; Tae-Yong Kim; Jihun Park; Seong-Whan Lee (Pattern Recognit., 2007)

Reconstruction of 3D human body pose from stereo image sequences based on top-down learning. - Hee-Deok Yang; Seong-Whan Lee (Pattern Recognit., 2007)

Gesture Spotting and Recognition for Human-Robot Interaction. - Hee-Deok Yang; A-Yeon Park; Seong-Whan Lee (IEEE Trans. Robotics, 2007)

Recognizing human actions based on silhouette energy image and global motion description. - Mohiuddin Ahmad; Seong-Whan Lee (FG, 2008)

Real-time 3D pointing gesture recognition in mobile space. - Chang-Beom Park; Myung-Cheol Roh; Seong-Whan Lee (FG, 2008)

Recognizing hand gestures using dynamic Bayesian network. - Heung-Il Suk; Bong-Kee Sin; Seong-Whan Lee (FG, 2008)

Robust modeling and recognition of hand gestures with dynamic Bayesian network. - Heung-Il Suk; Bong-Kee Sin; Seong-Whan Lee (ICPR, 2008)

A Semi-Dynamic Bayesian Network for human gesture recognition. - Myung-Cheol Roh; Seong-Whan Lee (SMC, 2008)

A Walking Guidance System for the Visually Impaired. - Sang-Woong Lee; Seonghoon Kang; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2008)

Noniterative 3D Face Reconstruction Based on Photometric Stereo. - Sang-Woong Lee; Patrick S. P. Wang; Svetlana N. Yanushkevich; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2008)

Human action recognition using shape and CLG-motion flow from multi-view image sequences. - Mohiuddin Ahmad; Seong-Whan Lee (Pattern Recognit., 2008)

Gesture spotting for low-resolution sports video annotation. - Myung-Cheol Roh; William J. Christmas; Josef Kittler; Seong-Whan Lee (Pattern Recognit., 2008)

An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images. - Jeong-Seon Park; Seong-Whan Lee (IEEE Trans. Image Process., 2008)

Sign language spotting based on semi-Markov Conditional Random Field. - Seong-Sik Cho; Hee-Deok Yang; Seong-Whan Lee (WACV, 2009)

A Virtual Mouse interface based on Two-layered Bayesian Network. - Myung-Cheol Roh; Sungju Huh; Seong-Whan Lee (WACV, 2009)

Analyzing human interactions with a network of dynamic probabilistic models. - Heung-Il Suk; Bong-Kee Sin; Seong-Whan Lee (WACV, 2009)

Sign Language Spotting with a Threshold Model Based on Conditional Random Fields. - Hee-Deok Yang; Stan Sclaroff; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Accelerating generalized iterative scaling using componentwise extrapolations for on-line conditional random fields. - Hee-Deok Yang; Seong-Whan Lee (ICMLC, 2010)

View Invariant Body Pose Estimation Based on Biased Manifold Learning. - Dongcheol Hur; Christian Wallraven; Seong-Whan Lee (ICPR, 2010)

Robust Sign Language Recognition with Hierarchical Conditional Random Fields. - Hee-Deok Yang; Seong-Whan Lee (ICPR, 2010)

Variable silhouette energy image representations for recognizing human actions. - Mohiuddin Ahmad; Seong-Whan Lee (Image Vis. Comput., 2010)

Silhouette History and Energy Image Information for Human Movement Recognition. - Mohiuddin Ahmad; Irine Parvin; Seong-Whan Lee (J. Multim., 2010)

Hand gesture recognition based on dynamic Bayesian network framework. - Heung-Il Suk; Bong-Kee Sin; Seong-Whan Lee (Pattern Recognit., 2010)

Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings. - Hee-Deok Yang; Seong-Whan Lee (Pattern Recognit., 2010)

View-independent human action recognition with Volume Motion Template on single stereo camera. - Myung-Cheol Roh; Ho-Kuen Shin; Seong-Whan Lee (Pattern Recognit. Lett., 2010)

Nonflat observation model and adaptive depth order estimation for 3D human pose tracking. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (ACPR, 2011)

Time-Dependent Common Spatial Patterns optimization for EEG signal classification. - Tae-Eui Kam; Seong-Whan Lee (ACPR, 2011)

Active control does not eliminate motion-induced illusory displacement. - Franck Caniard; Heinrich H. Bülthoff; Pascal Mamassian; Seong-Whan Lee; Ian M. Thornton (APGV, 2011)

NFRAD: Near-Infrared Face Recognition at a Distance. - Hyunju Maeng; Hyun-Cheol Choi; Unsang Park; Seong-Whan Lee; Anil K. Jain 001 (IJCB, 2011)

AdaBoost for Text Detection in Natural Scene. - Jung-Jin Lee; Pyoung-Hean Lee; Seong-Whan Lee; Alan L. Yuille; Christof Koch (ICDAR, 2011)

A constrained alternating least squares nonnegative matrix factorization algorithm enhances task-related neuronal activity detection from single subject's fMRI data. - Xiaoyu Ding; Jong-Hwan Lee; Seong-Whan Lee (ICMLC, 2011)

Combination of manual and non-manual features for sign language recognition based on conditional random field and active appearance model. - Hee-Deok Yang; Seong-Whan Lee (ICMLC, 2011)

Measuring an operator's maneuverability performance in the haptic teleoperation of multiple robots. - Hyoung Il Son; Lewis L. Chuang; Antonio Franchi; Junsuk Kim; Dongjun Lee; Seong-Whan Lee; Heinrich H. Bülthoff; Paolo Robuffo Giordano (IROS, 2011)

Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification. - Tae-Eui Kam; Seong-Whan Lee (PRNI, 2011)

Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface. - Heung-Il Suk; Seong-Whan Lee (PRNI, 2011)

A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface. - Heung-Il Suk; Seong-Whan Lee (SMC, 2011)

Guest editorial: Special issue on pattern recognition in neuroimaging. - Seong-Whan Lee (Int. J. Imaging Syst. Technol., 2011)

Subject and class specific frequency bands selection for multiclass motor imagery classification. - Heung-Il Suk; Seong-Whan Lee (Int. J. Imaging Syst. Technol., 2011)

Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter. - Chang-Beom Park; Seong-Whan Lee (Image Vis. Comput., 2011)

A Network of Dynamic Probabilistic Models for Human Interaction Analysis. - Heung-Il Suk; Anil K. Jain 001; Seong-Whan Lee (IEEE Trans. Circuits Syst. Video Technol., 2011)

Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching. - Hyunju Maeng; Shengcai Liao; Dongoh Kang; Seong-Whan Lee; Anil K. Jain 001 (ACCV (2), 2012)

Self-occlusion robust 3D human pose tracking from monocular image sequence. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (SMC, 2012)

Face recognition with enhanced local gabor binary pattern from human fixations. - Eunsoo Choi; Seong-Whan Lee; Christian Wallraven (SMC, 2012)

Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization. - Xiaoyu Ding; Jong-Hwan Lee; Seong-Whan Lee (SMC, 2012)

Supervised manifold learning based on biased distance for view invariant body pose estimation. - Dongcheol Hur; Christian Wallraven; Seong-Whan Lee (SMC, 2012)

A morphable 3D-model of Korean faces. - Ahyoung Shin; Seong-Whan Lee; Heinrich H. Bülthoff; Christian Wallraven (SMC, 2012)

Online learning of sparse pseudo-input Gaussian Process. - Heung-Il Suk; Yuzhuo Wang; Seong-Whan Lee (SMC, 2012)

Incremental Sparse Pseudo-input Gaussian Process Regression. - Heung-Il Suk; Yuzhuo Wang; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2012)

Biased Manifold Learning for View Invariant Body Pose Estimation. - Dongcheol Hur; Heung-Il Suk; Christian Wallraven; Seong-Whan Lee (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields. - Hee-Deok Yang; Heung-Il Suk; Seong-Whan Lee (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Automatic logo transition detection in digital video contents. - Chang-Yu Lu; Myung-Cheol Roh; Seung-Yeon Kang; Seong-Whan Lee (Pattern Anal. Appl., 2012)

Brain decoding: Opportunities and challenges for pattern recognition. - Dimitri Van De Ville; Seong-Whan Lee (Pattern Recognit., 2012)

Special Issue on Awards from ICPR 2010. - Kim Boyer; Müjdat Çetin; Anil K. Jain 001; Seong-Whan Lee (Pattern Recognit. Lett., 2012)

Pill-ID: Matching and retrieval of drug pill images. - Young-Beom Lee; Unsang Park; Anil K. Jain 001; Seong-Whan Lee (Pattern Recognit. Lett., 2012)

Recognizing Conversational Expressions Using Latent Dynamic Conditional Random Fields. - Dongcheol Hur; Christian Wallraven; Seong-Whan Lee (ACPR, 2013)

Improving the Performance of Brain-Computer Interface Using Multi-modal Neuroimaging. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (ACPR, 2013)

Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection. - Dong-Gyu Lee; Heung-Il Suk; Seong-Whan Lee (ACPR, 2013)

Tutorial on multimodal neuroimaging for brain-computer interfacing. - Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee; Benjamin Blankertz (BCI, 2013)

Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces. - Tae-Eui Kam; Heung-Il Suk; Seong-Whan Lee (BCI, 2013)

Design of a robotic wheelchair with a motor imagery based brain-computer interface. - Keun-Tae Kim; Tom Carlson; Seong-Whan Lee (BCI, 2013)

Three-dimensional upper limb movement decoding from EEG signals. - Jeong-Hun Kim; Ricardo Chavarriaga; José del R. Millán; Seong-Whan Lee (BCI, 2013)

Detection of multi-class emergency situations during simulated driving from ERP. - Il-Hwa Kim; Jeong-Woo Kim; Stefan Haufe; Seong-Whan Lee (BCI, 2013)

Neuro-driving: Automatic perception technique for upcoming emergency situations. - Jeong-Woo Kim; Il-Hwa Kim; Seong-Whan Lee (BCI, 2013)

Optimal channel selection based on statistical analysis in high dimensional NIRS data. - Min-Ho Lee; Siamac Fazli; Seong-Whan Lee (BCI, 2013)

A Bayesian approach for spatio-spectral filter optimization in BCI. - Heung-Il Suk; Seong-Whan Lee (BCI, 2013)

Multimodal imaging technique for rapid response brain-computer interface feedback. - Seul-Ki Yeom; Siamac Fazli; Jan Mehnert; Benjamin Blankertz; Jens Steinbrink; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2013)

Eeg-based person authentication using face stimuli. - Seul-Ki Yeom; Heung-Il Suk; Seong-Whan Lee (BCI, 2013)

Incorporating global and local observation models for human pose tracking. - Nam-Gyu Cho; Seong-Whan Lee (RO-MAN, 2013)

Bio and health informatics meets cloud : BioVLab as an example. - Heejoon Chae; Inuk Jung; Hyungro Lee; Suresh Marru; Seong-Whan Lee; Sun Kim (Health Inf. Sci. Syst., 2013)

Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification. - Tae-Eui Kam; Heung-Il Suk; Seong-Whan Lee (Neurocomputing, 2013)

Brain Computer Interfacing: A Multi-Modal Perspective. - Siamac Fazli; Seong-Whan Lee (J. Comput. Sci. Eng., 2013)

A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces. - Heung-Il Suk; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Adaptive occlusion state estimation for human pose tracking under self-occlusions. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (Pattern Recognit., 2013)

Person authentication from neural activity of face-specific visual self-representation. - Seul-Ki Yeom; Heung-Il Suk; Seong-Whan Lee (Pattern Recognit., 2013)

Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine. - Hee-Deok Yang; Seong-Whan Lee (Pattern Recognit. Lett., 2013)

Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System. - Unsang Park; Hyun-Cheol Choi; Anil K. Jain 001; Seong-Whan Lee (IEEE Trans. Inf. Forensics Secur., 2013)

Modeling crowd motions for abnormal activity detection. - Dong-Gyu Lee; Heung-Il Suk; Seong-Whan Lee (AVSS, 2014)

Reconstruction of hand movements from EEG signals based on non-linear regression. - Jeong-Hun Kim; Felix Bießmann; Seong-Whan Lee (BCI, 2014)

Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving. - Jeong-Woo Kim; Il-Hwa Kim; Stefan Haufe; Seong-Whan Lee (BCI, 2014)

Steady-state somatosensory evoked potentials for brain-controlled wheelchair. - Keun-Tae Kim; Seong-Whan Lee (BCI, 2014)

Toward exoskeleton control based on steady state visual evoked potentials. - No-Sang Kwak; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2014)

Hybrid brain-computer interface based on EEG and NIRS modalities. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (BCI, 2014)

Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study. - Dong-Ok Won; Seong-Whan Lee (BCI, 2014)

P300 visual speller based on random set presentation. - Seul-Ki Yeom; Siamac Fazli; Seong-Whan Lee (BCI, 2014)

The Role of Context for Object Detection and Semantic Segmentation in the Wild. - Roozbeh Mottaghi; Xianjie Chen; Xiaobai Liu; Nam-Gyu Cho; Seong-Whan Lee; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

Towards an enhanced ERP speller based on the visual processing of face familiarity. - Seul-Ki Yeom; Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee (EMBC, 2014)

Group Activity Recognition with Group Interaction Zone. - Young-Ji Kim; Nam-Gyu Cho; Seong-Whan Lee (ICPR, 2014)

View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera. - Areum Lee; Heung-Il Suk; Seong-Whan Lee (ICPR, 2014)

Decision of braking intensity during simulated driving based on analysis of neural correlates. - Jeong-Woo Kim; Il-Hwa Kim; Seong-Whan Lee (SMC, 2014)

A BCI speller based on SSVEP using high frequency stimuli design. - Dong-Ok Won; Haihong Zhang; Cuntai Guan; Seong-Whan Lee (SMC, 2014)

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. - Heung-Il Suk; Seong-Whan Lee; Dinggang Shen (NeuroImage, 2014)

Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching. - Dongoh Kang; Hu Han 001; Anil K. Jain 001; Seong-Whan Lee (Pattern Recognit., 2014)

Nonnegative Tensor Cofactorization and Its Unified Solution. - Xiaobai Liu; Qian Xu; Shuicheng Yan; Gang Wang 012; Hai Jin 001; Seong-Whan Lee (IEEE Trans. Image Process., 2014)

Intention analysis based on brain signal for participation induction during rehabilitation. - Bum Joo Kim; Min-Ho Lee; Seong-Whan Lee (BCI, 2015)

Combined regression and classification approach for prediction of driver's braking intention. - Jeong-Woo Kim; Heung-Il Suk; Jong-Pil Kim; Seong-Whan Lee (BCI, 2015)

Towards a smart TV control system based on steady-state visual evoked potential. - Hee-Jin Park; Keun-Tae Kim; Seong-Whan Lee (BCI, 2015)

Classifying directions in continuous arm movement from EEG signals. - Jeong-Seok Woo; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2015)

A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. - Heung-Il Suk; Seong-Whan Lee; Dinggang Shen (MICCAI (1), 2015)

Detection of Braking Intention during Simulated Driving Based on EEG Analysis: Online Study. - Jeong-Woo Kim; Il-Hwa Kim; Seong-Whan Lee (SMC, 2015)

Wheelchair Control Based on Steady-State Somatosensory Evoked Potentials. - Keun-Tae Kim; Seong-Whan Lee (SMC, 2015)

Group Activity Recognition with Group Interaction Zone Based on Relative Distance Between Human Objects. - Nam-Gyu Cho; Young-Ji Kim; Unsang Park; Jeong-Seon Park; Seong-Whan Lee (Int. J. Pattern Recognit. Artif. Intell., 2015)

Human gesture recognition using a simplified dynamic Bayesian network. - Myung-Cheol Roh; Seong-Whan Lee (Multim. Syst., 2015)

Improved image registration by sparse patch-based deformation estimation. - Minjeong Kim; Guorong Wu 001; Qian Wang 001; Seong-Whan Lee; Dinggang Shen (NeuroImage, 2015)

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. - Heung-Il Suk; Chong-Yaw Wee; Seong-Whan Lee; Dinggang Shen (Neuroinformatics, 2015)

Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI. - Min-Ho Lee; Siamac Fazli; Jan Mehnert; Seong-Whan Lee (Pattern Recognit., 2015)

Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes. - Dong-Gyu Lee; Heung-Il Suk; Sung-Kee Park; Seong-Whan Lee (IEEE Trans. Circuits Syst. Video Technol., 2015)

Design of an asynchronous brain-computer interface for control of a virtual Avatar. - Hye-Soo An; Jeong-Woo Kim; Seong-Whan Lee (BCI, 2016)

Development of an open source platform for brain-machine interface: openBMI. - Min-Ho Lee; Siamac Fazli; Keun-Tae Kim; Seong-Whan Lee (BCI, 2016)

Neurodrawing: neurofeedback for enhancing attention by drawing. - Jae-Hee Moon; Ki-Hee Park; Seong-Whan Lee (BCI, 2016)

Steady-state visual evoked potential based brain-computer interface with viewing distance changes. - Hee-Jin Park; Keun-Tae Kim; Seong-Whan Lee (BCI, 2016)

Movement intention decoding based on deep learning for multiuser myoelectric interfaces. - Ki-Hee Park; Seong-Whan Lee (BCI, 2016)

Human activity prediction based on Sub-volume Relationship Descriptor. - Dong-Gyu Lee; Seong-Whan Lee (ICPR, 2016)

Classification of movement-related cortical potentials for multi-command control based on brain-machine interface. - Ji-Yong Kim; Seong-Whan Lee (SMC, 2016)

Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. - Keun-Tae Kim; Seong-Whan Lee (SMC, 2016)

Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. - No-Sang Kwak; Dong-Ok Won; Keun-Tae Kim; Hee-Jin Park; Seong-Whan Lee (SMC, 2016)

OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. - Min-Ho Lee; Keun-Tae Kim; Yeong-Jin Kee; Ji-Hoon Jeong; Seon-Min Kim; Siamac Fazli; Seong-Whan Lee (SMC, 2016)

Selective temporal filtering and its application to hand gesture recognition. - Myung-Cheol Roh; Siamac Fazli; Seong-Whan Lee (Appl. Intell., 2016)

State-space model with deep learning for functional dynamics estimation in resting-state fMRI. - Heung-Il Suk; Chong-Yaw Wee; Seong-Whan Lee; Dinggang Shen (NeuroImage, 2016)

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. - Xiaofeng Zhu 001; Heung-Il Suk; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2016)

A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes. - Yiyu Chen 002; Ayalneh Dessalegn Atnafu; Isabella Schlattner; Wendimagegn Tariku Weldtsadik; Myung-Cheol Roh; Hyoung Joong Kim; Seong-Whan Lee; Benjamin Blankertz; Siamac Fazli (IEEE Trans. Inf. Forensics Secur., 2016)

A Hierarchical Classification Strategy for Robust Detection of Passive/Active Mental State Using User-Voluntary Pitch Imagery Task. - Young-Jin Kee; Min-Ho Lee; John Williamson; Seong-Whan Lee (ACPR, 2017)

An Adaptive Convolutional Neural Network Framework for Multi-user Myoelectric Interfaces. - Keun-Tae Kim; Ki-Hee Park; Seong-Whan Lee (ACPR, 2017)

Detecting Driver's Braking Intention Using Recurrent Convolutional Neural Networks Based EEG Analysis. - Suk-Min Lee; Jeong-Woo Kim; Seong-Whan Lee (ACPR, 2017)

EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components. - Seul-Ki Yeom; Hwi-Jae Kim; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (ACPR, 2017)

A brain-computer interface speller using peripheral stimulus-based SSVEP and P300. - Ji-Young Hwang; Min-Ho Lee; Seong-Whan Lee (BCI, 2017)

Single-trial analysis of readiness potentials for lower limb exoskeleton control. - Ji-Hoon Jeong; Min-Ho Lee; No-Sang Kwak; Seong-Whan Lee (BCI, 2017)

Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials. - Young-Jin Kee; Dong-Ok Won; Seong-Whan Lee (BCI, 2017)

Time domain EEG analysis for evaluating the effects of driver's mental work load during simulated driving. - Jong-Pil Kim; Seong-Whan Lee (BCI, 2017)

Classification of midazolam-induced sedation depth based on spatial and spectral analysis. - Hwi-Jae Kim; Seul-Ki Yeom; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (BCI, 2017)

Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG. - Bo-Ram Lee; Dong-Ok Won; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (BCI, 2017)

Shifting stimuli for brain computer interface based on rapid serial visual presentation. - Dong-Ok Won; Han-Jeong Hwang; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2017)

Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. - Minji Lee; Robert D. Sanders; Seul-Ki Yeom; Dong-Ok Won; Hwi-Jae Kim; Bo-Ram Lee; Kwang-Suk Seo; Hyun Jeong Kim; Giulio Tononi; Seong-Whan Lee (EMBC, 2017)

Decoding of walking Intention under Lower limb exoskeleton Environment using MRCP Feature. - Ji-Hoon Jeong; No-Sang Kwak; Min-Ho Lee; Seong-Whan Lee (GBCIC, 2017)

Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli. - Dong-Ok Won; Han-Jeong Hwang; Klaus-Robert Müller; Seong-Whan Lee (GBCIC, 2017)

Self-paced training on motor imagery-based BCI for minimal calibration time. - Seon-Min Kim; Min-Ho Lee; Seong-Whan Lee (SMC, 2017)

FitMine: automatic mining for time-evolving signals of cardiotocography monitoring. - Sun-Hee Kim; Hyung-Jeong Yang; Seong-Whan Lee (Data Min. Knowl. Discov., 2017)

Compositional interaction descriptor for human interaction recognition. - Nam-Gyu Cho; Se-Ho Park; Jeong-Seon Park; Unsang Park; Seong-Whan Lee (Neurocomputing, 2017)

DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data. - Sun-Hee Kim; Lei Li 005; Christos Faloutsos; Hyung-Jeong Yang; Seong-Whan Lee (J. Inf. Sci. Eng., 2017)

Deep ensemble learning of sparse regression models for brain disease diagnosis. - Heung-Il Suk; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2017)

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. - Xiaofeng Zhu 001; Heung-Il Suk; Li Wang 026; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2017)

A virtual mouse interface with a two-layered Bayesian network. - Myung-Cheol Roh; Dongoh Kang; Sungju Huh; Seong-Whan Lee (Multim. Tools Appl., 2017)

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. - Xiaobo Chen 001; Han Zhang 002; Seong-Whan Lee; Dinggang Shen (Neuroinformatics, 2017)

Individual Identification Using Cognitive Electroencephalographic Neurodynamics. - Byoung-Kyong Min; Heung-Il Suk; Min-Hee Ahn; Min-Ho Lee; Seong-Whan Lee (IEEE Trans. Inf. Forensics Secur., 2017)

A Robust Lane Detection Method Based on Vanishing Point Estimation Using the Relevance of Line Segments. - Ju Han Yoo; Seong-Whan Lee; Sung-Kee Park; Dong Hwan Kim (IEEE Trans. Intell. Transp. Syst., 2017)

Design of a brain-controlled robot arm system based on upper-limb movement imagery. - Ji-Hoon Jeong; Keun-Tae Kim; Yong-Deok Yun; Seong-Whan Lee (BCI, 2018)

Classification of motor imagery for Ear-EEG based brain-computer interface. - Yong-Jeong Kim; No-Sang Kwak; Seong-Whan Lee (BCI, 2018)

Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. - Minji Lee; Seul-Ki Yeom; Benjamin Baird; Olivia Gosseries; Jaakko O. Nieminen; Giulio Tononi; Seong-Whan Lee (BCI, 2018)

Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling. - Kyowoon Lee; Sol-A. Kim; Jaesik Choi; Seong-Whan Lee (ICML, 2018)

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. - Dong-Ok Won; Byung-Do Kim; Ho-Jung Kim; Tae-San Eom; Klaus-Robert Müller; Seong-Whan Lee (IJCAI, 2018)

Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. - Jeong-Hyun Cho; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Dong-Joo Kim; Seong-Whan Lee (SMC, 2018)

Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. - Ji-Hoon Jeong; Keun-Tae Kim; Dong-Joo Kim; Seong-Whan Lee (SMC, 2018)

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli 001; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model. - Zhengwang Wu; Yanrong Guo; Sang Hyun Park 004; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

A Novel Linelet-Based Representation for Line Segment Detection. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Discriminative context learning with gated recurrent unit for group activity recognition. - Pil-Soo Kim; Dong-Gyu Lee; Seong-Whan Lee (Pattern Recognit., 2018)

EEG Representations of Spatial and Temporal Features in Imagined Speech and Overt Speech. - Seo-Hyun Lee; Minji Lee; Seong-Whan Lee (ACPR (2), 2019)

Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. - Baek-Woon Yu; Ji-Hoon Jeong; Dae-Hyeok Lee; Seong-Whan Lee (ACPR (2), 2019)

Recognition of Pilot's Cognitive States based on Combination of Physiological Signals. - Soo-Yeon Han; Jeong-Woo Kim; Seong-Whan Lee (BCI, 2019)

The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. - Dong-Kyun Han; Min-Ho Lee; John Williamson; Seong-Whan Lee (BCI, 2019)

Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping. - Young-Tak Kim; Seung-Bo Lee; Hakseung Kim; Ji-Hoon Jeong; Seong-Whan Lee; Dong-Joo Kim (BCI, 2019)

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. - Seung-Bo Lee; Hakseung Kim; Ji-Hoon Jeong; In-Nea Wang; Seong-Whan Lee; Dong-Joo Kim (BCI, 2019)

A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2019)

Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface. - Seung-Pyo Seo; Min-Ho Lee; John Williamson; Seong-Whan Lee (BCI, 2019)

The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment. - Chae-Bin Song; No-Sang Kwak; Minji Lee; Seong-Whan Lee (BCI, 2019)

Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System. - Ji-Hoon Jeong; Kyung-Hwan Shim 001; Dong-Joo Kim; Seong-Whan Lee (EMBC, 2019)

Graph Theoretical Analysis of Cortical Networks based on Conscious Experience. - Minji Lee; Benjamin Baird; Olivia Gosseries; Jaakko O. Nieminen; Mélanie Boly; Giulio Tononi; Seong-Whan Lee (EMBC, 2019)

Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control. - Yong-Deok Yun; Ji-Hoon Jeong; Jeong-Hyun Cho; Dong-Joo Kim; Seong-Whan Lee (EMBC, 2019)

Classification of various grasping tasks based on temporal segmentation method using EEG and EMG signals. - Jeong-Hyun Cho; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Seong-Whan Lee (GBCIC, 2019)

Interpreting Undesirable Pixels for Image Classification on Black-Box Models. - Sin-Han Kang; Honggyu Jung; Seong-Whan Lee (ICCV Workshops, 2019)

Improving the Performance of SSVEP BCI with Short Response Time by Temporal Alignments Enhanced CCA. - Aung Aung Phyo Wai; Min-Ho Lee; Seong-Whan Lee; Cuntai Guan (NER, 2019)

Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation. - Young-Tak Kim; Seho Lee; Hakseung Kim; Seung-Bo Lee; Seong-Whan Lee; Dong-Joo Kim (SMC, 2019)

A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. - Dong-Geon Kim; Woo-Jeoung Nam; Seong-Whan Lee (SMC, 2019)

Causal Connectivity According to Conscious Experience in Non-Rapid Eye Movement Sleep. - Minji Lee; Benjamin Baird; Olivia Gosseries; Jaakko O. Nieminen; Mélanie Boly; Giulio Tononi; Seong-Whan Lee (SMC, 2019)

Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature. - Seung-Bo Lee; Hakseung Kim; Seho Lee; Hyun-Ji Kim; Seong-Whan Lee; Dong-Joo Kim (SMC, 2019)

Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery. - Seo-Hyun Lee; Minji Lee; Ji-Hoon Jeong; Seong-Whan Lee (SMC, 2019)

EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery. - Neethu Robinson; Seong-Whan Lee; Cuntai Guan (SMC, 2019)

Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. - Kyung-Hwan Shim 001; Ji-Hoon Jeong; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (SMC, 2019)

Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2019)

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. - Feng Zhao 006; Islem Rekik; Seong-Whan Lee; Jing Liu 018; Junying Zhang; Dinggang Shen (Complex., 2019)

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. - Woo-Jeoung Nam; Jaesik Choi; Seong-Whan Lee (CoRR, 2019)

Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level. - Paul Bertens; Seong-Whan Lee (CoRR, 2019)

Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification. - Seung-Bo Lee; Hyun-Ji Kim; Hakseung Kim; Ji-Hoon Jeong; Seong-Whan Lee; Dong-Joo Kim (Inf. Sci., 2019)

Automatic brain labeling via multi-atlas guided fully convolutional networks. - Longwei Fang; Lichi Zhang; Dong Nie; Xiaohuan Cao; Islem Rekik; Seong-Whan Lee; Huiguang He; Dinggang Shen (Medical Image Anal., 2019)

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. - Han Zhang 002; Panteleimon Giannakopoulos; Sven Haller; Seong-Whan Lee; Shijun Qiu; Dinggang Shen (Neuroinformatics, 2019)

Prediction of partially observed human activity based on pre-trained deep representation. - Dong-Gyu Lee; Seong-Whan Lee (Pattern Recognit., 2019)

Oblique aerial image matching based on iterative simulation and homography evaluation. - Woo-Hyuck Song; Honggyu Jung; In-Youb Gwak; Seong-Whan Lee (Pattern Recognit., 2019)

Weighted graph regularized sparse brain network construction for MCI identification. - Renping Yu; Lishan Qiao; Mingming Chen; Seong-Whan Lee; Xuan Fei; Dinggang Shen (Pattern Recognit., 2019)

Strength and similarity guided group-level brain functional network construction for MCI diagnosis. - Yu Zhang 009; Han Zhang 002; Xiaobo Chen 001; Mingxia Liu 001; Xiaofeng Zhu 001; Seong-Whan Lee; Dinggang Shen (Pattern Recognit., 2019)

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. - Woo-Jeoung Nam; Shir Gur; Jaesik Choi; Lior Wolf; Seong-Whan Lee (AAAI, 2020)

A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. - Jeong-Hyun Cho; Ji-Hoon Jeong; Dong-Joo Kim; Seong-Whan Lee (BCI, 2020)

Towards Brain-Computer Interfaces for Drone Swarm Control. - Ji-Hoon Jeong; Dae-Hyeok Lee; Hyung-Ju Ahn; Seong-Whan Lee (BCI, 2020)

Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (BCI, 2020)

Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction. - Gun-Hee Lee; Seong-Whan Lee (CVPR, 2020)

Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. - Jeong-Hyun Cho; Ji-Hoon Jeong; Seong-Whan Lee (EMBC, 2020)

Prediction of Memory Retrieval Performance Using Ear-EEG Signals. - Jenifer Kalafatovich; Minji Lee; Seong-Whan Lee (EMBC, 2020)

End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features. - Hyeong-Jin Kim; Minji Lee; Seong-Whan Lee (EMBC, 2020)

A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface. - Ravikiran Mane; Neethu Robinson; A. Prasad Vinod 001; Seong-Whan Lee; Cuntai Guan (EMBC, 2020)

Prediction of Event Related Potential Speller Performance Using Resting-State EEG. - Gi-Hwan Shin; Minji Lee; Hyeong-Jin Kim; Seong-Whan Lee (EMBC, 2020)

Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. - Do-Yeun Lee; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Seong-Whan Lee (ICASSP, 2020)

Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. - Byeong-Hoo Lee; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Seong-Whan Lee (ICASSP, 2020)

Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. - Hyunseung Chung; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2020)

Prediction of Subsequent Memory Effects Using Convolutional Neural Network. - Jenifer Kalafatovich; Minji Lee; Seong-Whan Lee (ICPRAI, 2020)

Audio Dequantization for High Fidelity Audio Generation in Flow-Based Neural Vocoder. - Hyun-Wook Yoon; Sang-Hoon Lee; Hyeong-Rae Noh; Seong-Whan Lee (INTERSPEECH, 2020)

Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network. - Jenifer Kalafatovich; Minji Lee; Seong-Whan Lee (SMC, 2020)

Few-Shot Object Detection via Knowledge Transfer. - Geonuk Kim; Honggyu Jung; Seong-Whan Lee (SMC, 2020)

Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. - Byoung-Hee Kwon; Ji-Hoon Jeong; Jeong-Hyun Cho; Seong-Whan Lee (SMC, 2020)

Complex Motor Imagery-based Brain-Computer Interface System: A Comparison Between Different Classifiers. - Seung-Bo Lee; Min-Kyung Jung; Hakseung Kim; Seong-Whan Lee; Dong-Joo Kim (SMC, 2020)

Classification of Imagined Speech Using Siamese Neural Network. - Dong-Yeon Lee; Minji Lee; Seong-Whan Lee (SMC, 2020)

Assessment of Unconsciousness for Memory Consolidation Using EEG Signals. - Gi-Hwan Shin; Minji Lee; Seong-Whan Lee (SMC, 2020)

EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. - Ji-Hoon Jeong; Byeong-Hoo Lee; Dae-Hyeok Lee; Yong-Deok Yun; Seong-Whan Lee (IEEE Access, 2020)

Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. - Dae-Hyeok Lee; Ji-Hoon Jeong; Kiduk Kim; Baek-Woon Yu; Seong-Whan Lee (IEEE Access, 2020)

SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification. - Byeong-Hoo Lee; Ji-Hoon Jeong; Seong-Whan Lee (IEEE Access, 2020)

Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus. - Minji Lee; Gi-Hwan Shin; Seong-Whan Lee (IEEE Access, 2020)

Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE Access, 2020)

An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization. - Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE Access, 2020)

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Seong-Whan Lee (IEEE Access, 2020)

Mel-spectrogram augmentation for sequence to sequence voice conversion. - Yeongtae Hwang; Hyemin Cho; Hongsun Yang; Insoo Oh; Seong-Whan Lee (CoRR, 2020)

Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface. - Seo-Hyun Lee; Minji Lee; Seong-Whan Lee (CoRR, 2020)

Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning. - Kyung-Hwan Shim 001; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2020)

Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface. - Young Eun Lee; Minji Lee; Seong-Whan Lee (CoRR, 2020)

Counterfactual Explanation Based on Gradual Construction for Deep Networks. - Sin-Han Kang; Honggyu Jung; Dong-Ok Won; Seong-Whan Lee (CoRR, 2020)

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. - Shengzhou Xu; Ehsan Adeli 001; Jie-Zhi Cheng; Lei Xiang; Yang Li 010; Seong-Whan Lee; Dinggang Shen (Int. J. Imaging Syst. Technol., 2020)

Network of evolvable neural units can learn synaptic learning rules and spiking dynamics. - Paul Bertens; Seong-Whan Lee (Nat. Mach. Intell., 2020)

Three-stream fusion network for first-person interaction recognition. - Ye-Ji Kim; Dong-Gyu Lee; Seong-Whan Lee (Pattern Recognit., 2020)

A novel online action detection framework from untrimmed video streams. - Da-Hye Yoon; Nam-Gyu Cho; Seong-Whan Lee (Pattern Recognit., 2020)

A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. - Jae-Hyun Park; Woo-Jeoung Nam; Seong-Whan Lee (Remote. Sens., 2020)

Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval. - Min-Sub Yun; Woo-Jeoung Nam; Seong-Whan Lee (Remote. Sens., 2020)

An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. - Dong-Ok Won; Klaus-Robert Müller; Seong-Whan Lee (Sci. Robotics, 2020)

Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces. - No-Sang Kwak; Seong-Whan Lee (IEEE Trans. Cybern., 2020)

Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling. - Sun-Hee Kim; Hyung-Jeong Yang; Thi Anh Ngoc Nguyen; Raja Majid Mehmood; Seong-Whan Lee (IEEE Trans. Instrum. Meas., 2020)

Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-Occurrence Feature. - Sung-Soo Kim; In-Youb Gwak; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2020)

Few-Shot Learning With Geometric Constraints. - Honggyu Jung; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2020)

Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks. - O-Yeon Kwon; Min-Ho Lee; Cuntai Guan; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2020)

Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. - Yinghuan Shi; Heung-Il Suk; Yang Gao 001; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis. - Sang-Hoon Lee; Hyun-Wook Yoon; Hyeong-Rae Noh; Ji-Hoon Kim; Seong-Whan Lee (AAAI, 2021)

Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. - Woo-Jeoung Nam; Jaesik Choi; Seong-Whan Lee (AAAI, 2021)

Motor Imagery Classification Based on CNN-GRU Network with Spatio-Temporal Feature Representation. - Ji-Seon Bang; Seong-Whan Lee (ACPR (1), 2021)

Domain Generalization with Pseudo-Domain Label for Face Anti-spoofing. - Young-Eun Kim; Seong-Whan Lee (ACPR (1), 2021)

Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation. - Gun-Hee Lee; Han-Bin Ko; Seong-Whan Lee (ACPR (2), 2021)

Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. - Jeong-Hyun Cho; Ji-Hoon Jeong; Myoung-Ki Kim; Seong-Whan Lee (BCI, 2021)

Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. - Dae-Hyeok Lee; Ji-Hoon Jeong; Hyung-Ju Ahn; Seong-Whan Lee (BCI, 2021)

Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment. - Young Eun Lee; Seong-Whan Lee (BCI, 2021)

Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics. - Seo-Hyun Lee; Minji Lee; Seong-Whan Lee (BCI, 2021)

Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics. - Gun-Hee Lee; Seong-Whan Lee (ICCV, 2021)

Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech. - Hyunseung Chung; Sang-Hoon Lee; Seong-Whan Lee (Interspeech, 2021)

Fre-GAN: Adversarial Frequency-Consistent Audio Synthesis. - Ji-Hoon Kim; Sang-Hoon Lee; Ji-Hyun Lee; Seong-Whan Lee (Interspeech, 2021)

VoiceMixer: Adversarial Voice Style Mixup. - Sang-Hoon Lee; Ji-Hoon Kim; Hyunseung Chung; Seong-Whan Lee (NeurIPS, 2021)

Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images. - Harim Jung; Myeong-Seok Oh; Seong-Whan Lee (SMC, 2021)

GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints. - Ji-Hoon Kim; Sang-Hoon Lee; Ji-Hyun Lee; Honggyu Jung; Seong-Whan Lee (SMC, 2021)

Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. - Dae-Hyeok Lee; Dong-Kyun Han; Sung-Jin Kim; Ji-Hoon Jeong; Seong-Whan Lee (SMC, 2021)

ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection. - Kyungseo Min; Gun-Hee Lee; Seong-Whan Lee (SMC, 2021)

Weakly Supervised Thoracic Disease Localization via Disease Masks. - Hyun-Woo Kim; Honggyu Jung; Seong-Whan Lee (CoRR, 2021)

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface. - Ravikiran Mane; Effie Chew; Karen Sui Geok Chua; Kai Keng Ang; Neethu Robinson; A. Prasad Vinod 001; Seong-Whan Lee; Cuntai Guan (CoRR, 2021)

Voice of Your Brain: Cognitive Representations of Imagined Speech, Overt Speech, and Speech Perception Based on EEG. - Seo-Hyun Lee; Young Eun Lee; Seong-Whan Lee (CoRR, 2021)

Detection of Abnormal Behavior with Self-Supervised Gaze Estimation. - Suneung Kim; Seong-Whan Lee (CoRR, 2021)

DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. - Dae-Hyeok Lee; Sung-Jin Kim; Seong-Whan Lee (CoRR, 2021)

Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. - Hyung-Ju Ahn; Dae-Hyeok Lee; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2021)

Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. - Woo-Jeoung Nam; Seong-Whan Lee (CoRR, 2021)

Precise Aerial Image Matching based on Deep Homography Estimation. - Myeong-Seok Oh; Yong-Ju Lee; Seong-Whan Lee (CoRR, 2021)

One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior. - Hayoung Jo; Seong-Whan Lee (CoRR, 2021)

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running. - Young Eun Lee; Gi-Hwan Shin; Minji Lee; Seong-Whan Lee (CoRR, 2021)

Visual question answering based on local-scene-aware referring expression generation. - Jung-Jun Kim; Dong-Gyu Lee; Jialin Wu; Honggyu Jung; Seong-Whan Lee (Neural Networks, 2021)

Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning. - Jin-Woo Seo; Honggyu Jung; Seong-Whan Lee (Neural Networks, 2021)

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network. - Kaishuo Zhang; Neethu Robinson; Seong-Whan Lee; Cuntai Guan (Neural Networks, 2021)

Spatial reasoning for few-shot object detection. - Geonuk Kim; Honggyu Jung; Seong-Whan Lee (Pattern Recognit., 2021)

Development of a Human-Display Interface with Vibrotactile Feedback for Real-World Assistive Applications. - Kiduk Kim; Ji-Hoon Jeong; Jeong-Hyun Cho; Sunghyun Kim; Jeonggoo Kang; Jeha Ryu; Seong-Whan Lee (Sensors, 2021)

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. - Jie Xue 001; Kelei He; Dong Nie; Ehsan Adeli 001; Zhenshan Shi; Seong-Whan Lee; Yuanjie Zheng; Xiyu Liu 001; Dengwang Li; Dinggang Shen (IEEE Trans. Cybern., 2021)

eRAD-Fe: Emotion Recognition-Assisted Deep Learning Framework. - Sun-Hee Kim; Thi Anh Ngoc Nguyen; Hyung-Jeong Yang; Seong-Whan Lee (IEEE Trans. Instrum. Meas., 2021)

AsEmo: Automatic Approach for EEG-Based Multiple Emotional State Identification. - Sun-Hee Kim; Hyung-Jeong Yang; Thi Anh Ngoc Nguyen; Seong-Whan Lee (IEEE J. Biomed. Health Informatics, 2021)

Cross-View Self-fusion for Self-supervised 3D Human Pose Estimation in the Wild. - Hyun-Woo Kim; Gun-Hee Lee; Myeong-Seok Oh; Seong-Whan Lee (ACCV (1), 2022)

SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. - Ji-Hoon Han; Woo-Jeoung Nam; Seong-Whan Lee (AVSS, 2022)

Temporal-Invariant Video Representation Learning with Dynamic Temporal Resolutions. - Seong-Yun Jeong; Ho-Joong Kim; Myeong-Seok Oh; Gun-Hee Lee; Seong-Whan Lee (AVSS, 2022)

Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. - Ji-Seon Bang; Seong-Whan Lee (BCI, 2022)

Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. - Jeong-Hyun Cho; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (BCI, 2022)

Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions. - Seo-Hyun Lee; Young Eun Lee; Seong-Whan Lee (BCI, 2022)

Welcome Message from the General Chairs. - Seong-Whan Lee; Klaus-Robert Müller (BCI, 2022)

Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. - Keon-Woo Lee; Dae-Hyeok Lee; Sung-Jin Kim; Seong-Whan Lee (EMBC, 2022)

Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. - Serkan Musellim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (EMBC, 2022)

EMOQ-TTS: Emotion Intensity Quantization for Fine-Grained Controllable Emotional Text-to-Speech. - Chae-Bin Im; Sang-Hoon Lee; Seung-Bin Kim; Seong-Whan Lee (ICASSP, 2022)

FRE-GAN 2: Fast and Efficient Frequency-Consistent Audio Synthesis. - Sang-Hoon Lee; Ji-Hoon Kim; Kangeun Lee; Seong-Whan Lee (ICASSP, 2022)

PVAE-TTS: Adaptive Text-to-Speech via Progressive Style Adaptation. - Ji-Hyun Lee; Sang-Hoon Lee; Ji-Hoon Kim; Seong-Whan Lee (ICASSP, 2022)

StyleVC: Non-Parallel Voice Conversion with Adversarial Style Generalization. - In-Sun Hwang; Sang-Hoon Lee; Seong-Whan Lee (ICPR, 2022)

Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters. - Harim Jung; Myeong-Seok Oh; Cheoljong Yang; Seong-Whan Lee (ICPR, 2022)

Classification-based Multi-task Learning for Efficient Pose Estimation Network. - Dongoh Kang; Myung-Cheol Roh; Hansaem Kim; Yonghyun Kim; Seong-Whan Lee (ICPR, 2022)

Few-Shot Object Detection with Proposal Balance Refinement. - Sueyeon Kim; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2022)

Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. - Byeong-Hoo Lee; Jeong-Hyun Cho; Byoung-Hee Kwon; Seong-Whan Lee (ICPR, 2022)

Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. - Joo-Yeon Lee; Woo-Jeoung Nam; Seong-Whan Lee (ICPR, 2022)

Evidence of Onset and Sustained Neural Responses to Isolated Phonemes from Intracranial Recordings in a Voice-based Cursor Control Task. - Kevin Meng; Seo-Hyun Lee; Farhad Goodarzy; Simon J. Vogrin; Mark J. Cook; Seong-Whan Lee; David B. Grayden (INTERSPEECH, 2022)

Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons. - Paul Bertens; Seong-Whan Lee (NeurIPS, 2022)

HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. - Sang-Hoon Lee; Seung-Bin Kim; Ji-Hyun Lee; Eunwoo Song; Min-Jae Hwang; Seong-Whan Lee (NeurIPS, 2022)

Ordinal Distance-based Domain Adaptation Framework for Motion Sickness Classification. - So-Hyun Han; Dong-Kyun Han; Seong-Whan Lee (SMC, 2022)

Classification of Motion Sickness Levels using Multimodal Biosignals in Real Driving Conditions. - Ji-Un Hwang; Ji-Seon Bang; Seong-Whan Lee (SMC, 2022)

Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. - Wooyeol Hyun; Woo-Jeoung Nam; Jooyeon Lee; Seong-Whan Lee (SMC, 2022)

OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos. - Kyung-Min Jin; Gun-Hee Lee; Seong-Whan Lee (SMC, 2022)

HTNet: Anchor-free Temporal Action Localization with Hierarchical Transformers. - Tae-Kyung Kang; Gun-Hee Lee; Seong-Whan Lee (SMC, 2022)

EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization. - Dong-Young Kim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (SMC, 2022)

An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm. - Sung-Jin Kim; Dae-Hyeok Lee; Seong-Whan Lee (SMC, 2022)

Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image. - Yeong-Joon Ju; Gun-Hee Lee; Jung-Ho Hong; Seong-Whan Lee (WACV, 2022)

Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals. - Sung-Jin Kim; Dae-Hyeok Lee; Seong-Whan Lee (IEEE Access, 2022)

ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (Appl. Soft Comput., 2022)

Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation. - Woo-Jeoung Nam; Seong-Whan Lee (CoRR, 2022)

Effect of Spoken Speech in Decoding Imagined Speech from Non-Invasive Human Brain Signals. - Seo-Hyun Lee; Young-Eun Lee; Soowon Kim; Byung-Kwan Ko; Seong-Whan Lee (CoRR, 2022)

Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification. - Sunil Kumar Prabhakar; Seong-Whan Lee (Expert Syst. Appl., 2022)

Attentional feature pyramid network for small object detection. - Kyungseo Min; Gun-Hee Lee; Seong-Whan Lee (Neural Networks, 2022)

Counterfactual explanation based on gradual construction for deep networks. - Honggyu Jung; Sin-Han Kang; Hee-Dong Kim; Dong-Ok Won; Seong-Whan Lee (Pattern Recognit., 2022)

Human interaction recognition framework based on interacting body part attention. - Dong-Gyu Lee; Seong-Whan Lee (Pattern Recognit., 2022)

Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck. - Sang-Hoon Lee; Hyeong-Rae Noh; Woo-Jeoung Nam; Seong-Whan Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. - Feng Zhao 006; Xiangfei Zhang; Kim-Han Thung; Ning Mao; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery. - Minji Lee; Yun-Hee Kim; Seong-Whan Lee (IEEE Trans. Biomed. Eng., 2022)

Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification. - Yanfang Xue; Yining Zhang; Limei Zhang; Seong-Whan Lee; Lishan Qiao; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework. - Jeong-Hyun Cho; Ji-Hoon Jeong; Seong-Whan Lee (IEEE Trans. Cybern., 2022)

Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory. - Yun Kwan Kim; Minji Lee; Hee Seok Song; Seong-Whan Lee (IEEE Trans. Instrum. Meas., 2022)

WeDea: A New EEG-Based Framework for Emotion Recognition. - Sun-Hee Kim; Hyung-Jeong Yang; Thi Anh Ngoc Nguyen; Sunil Kumar Prabhakar; Seong-Whan Lee (IEEE J. Biomed. Health Informatics, 2022)

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. - Ji-Seon Bang; Min-Ho Lee; Siamac Fazli; Cuntai Guan; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. - Jung-Ho Hong; Woo-Jeoung Nam; Kyu-Sung Jeon; Seong-Whan Lee (AAAI, 2023)

Towards Voice Reconstruction from EEG during Imagined Speech. - Young-Eun Lee; Seo-Hyun Lee; Sang-Ho Kim; Seong-Whan Lee (AAAI, 2023)

PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-Based Prosody Modeling. - Ji-Sang Hwang; Sang-Hoon Lee; Seong-Whan Lee (ACPR (1), 2023)

Towards Brain-based Interface for Communication and Control by Skin Touch. - Myoung-Ki Kim; Jeong-Hyun Cho; Hye-Bin Shin; Seong-Whan Lee (BCI, 2023)

Speech Synthesis from Brain Signals Based on Generative Model. - Young-Eun Lee; Sang-Ho Kim; Seo-Hyun Lee; Jung-Sun Lee; Soowon Kim; Seong-Whan Lee (BCI, 2023)

Towards Neural Decoding of Imagined Speech based on Spoken Speech. - Seo-Hyun Lee; Young-Eun Lee; Soowon Kim; Byung-Kwan Ko; Seong-Whan Lee (BCI, 2023)

Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat. - Ha-Na Jo; Young-Seok Kweon; Gi-Hwan Shin; Heon-Gyu Kwak; Seong-Whan Lee (EMBC, 2023)

Compensatory Debiasing For Gender Imbalances In Language Models. - Tae-Jin Woo; Woo-Jeoung Nam; Yeong-Joon Ju; Seong-Whan Lee (ICASSP, 2023)

Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation. - Yu-Won Lee; Myeong-Seok Oh; Ho-Joong Kim; Seong-Whan Lee (IJCNN, 2023)

EGPose: Explicit and Geometric Self-Supervision for 3D Human Pose Estimation. - Geon-Jun Yang; Jun-Hee Kim; Hyun-Woo Kim; Gun-Hee Lee; Seong-Whan Lee (INNS DLIA@IJCNN, 2023)

Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation. - Ha-Yeong Choi; Sang-Hoon Lee; Seong-Whan Lee (INTERSPEECH, 2023)

Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. - Soowon Kim; Young-Eun Lee; Seo-Hyun Lee; Seong-Whan Lee (INTERSPEECH, 2023)

HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer. - Sang-Hoon Lee; Ha-Yeong Choi; Hyung-Seok Oh; Seong-Whan Lee (INTERSPEECH, 2023)

Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. - Tae-Hyung Kim; Woo-Jeoung Nam; Seong-Whan Lee (PAKDD (1), 2023)

TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. - Dae-Hyeok Lee; Sung-Jin Kim; Hyeon-Taek Han; Seong-Whan Lee (SMC, 2023)

Sentence Reconstruction Leveraging Contextual Meaning from Speech-Related Brain Signals. - Ji-Won Lee; Seo-Hyun Lee; Young-Eun Lee; Soowon Kim; Seong-Whan Lee (SMC, 2023)

Enhancing the Discriminative Ability for Multi-Label Classification by Handling Data Imbalance. - Jin-Ha Lim; Myeong-Seok Oh; Seong-Whan Lee (SMC, 2023)

Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos. - Kyung-Min Jin; Byoung-Sung Lim; Gun-Hee Lee; Tae-Kyung Kang; Seong-Whan Lee (WACV, 2023)

Action-aware Masking Network with Group-based Attention for Temporal Action Localization. - Tae-Kyung Kang; Gun-Hee Lee; Kyung-Min Jin; Seong-Whan Lee (WACV, 2023)

Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation. - Heejo Kong; Gun-Hee Lee; Suneung Kim; Seong-Whan Lee (WACV, 2023)

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification. - Yun Kwan Kim; Minji Lee; Kunwook Jo; Hee Seok Song; Seong-Whan Lee (CoRR, 2023)

WUDI: A Human Involved Self-Adaptive Framework to Prevent Childhood Obesity in Internet of Things Environment. - Euijong Lee; Jaemin Jung; Gee-Myung Moon; Seong-Whan Lee; Ji-Hoon Jeong (CoRR, 2023)

NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations. - Yeong-Joon Ju; Ji-Hoon Park; Seong-Whan Lee (CoRR, 2023)

Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. - Byeong-Hoo Lee; Byoung-Hee Kwon; Seong-Whan Lee (CoRR, 2023)

Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography. - Young-Seok Kweon; Gi-Hwan Shin; Heon-Gyu Kwak; Ha-Na Jo; Seong-Whan Lee (CoRR, 2023)

Brain-Driven Representation Learning Based on Diffusion Model. - Soowon Kim; Seo-Hyun Lee; Young-Eun Lee; Ji-Won Lee; Ji-Ha Park; Seong-Whan Lee (CoRR, 2023)

Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats. - Ha-Na Jo; Young-Seok Kweon; Gi-Hwan Shin; Heon-Gyu Kwak; Seong-Whan Lee (CoRR, 2023)

Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance Syste. - Heon-Gyu Kwak; Sung-Jin Kim; Hyeon-Taek Han; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2023)

Impact of Nap on Performance in Different Working Memory Tasks Using EEG. - Gi-Hwan Shin; Young-Seok Kweon; Heon-Gyu Kwak; Ha-Na Jo; Seong-Whan Lee (CoRR, 2023)

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis. - Sang-Hoon Lee; Ha-Yeong Choi; Seung-Bin Kim; Seong-Whan Lee (CoRR, 2023)

Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals. - Young-Eun Lee; Seo-Hyun Lee; Soowon Kim; Jung-Sun Lee; Deok-Seon Kim; Seong-Whan Lee (CoRR, 2023)

Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks. - Seo-Hyun Lee; Young-Eun Lee; Soowon Kim; Byung-Kwan Ko; Jun-Young Kim; Seong-Whan Lee (CoRR, 2023)

Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. - Dae-Hyeok Lee; Sung-Jin Kim; Si-Hyun Kim; Seong-Whan Lee (CoRR, 2023)

A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. - Sung-Jin Kim; Heon-Gyu Kwak; Hyeon-Taek Han; Dae-Hyeok Lee; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2023)

Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis. - Kang Yin; Hye-Bin Shin; Hee-Dong Kim; Seong-Whan Lee (CoRR, 2023)

Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization. - Dong-Young Kim; Dong-Kyun Han; Seo-Hyeon Park; Geun-Deok Jang; Seong-Whan Lee (CoRR, 2023)

Style selective normalization with meta learning for test-time adaptive face anti-spoofing. - Young-Eun Kim; Woo-Jeoung Nam; Kyungseo Min; Seong-Whan Lee (Expert Syst. Appl., 2023)

Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques. - Sunil Kumar Prabhakar; Seong-Whan Lee (Expert Syst. Appl., 2023)

Dissimilate-and-assimilate strategy for video anomaly detection and localization. - Wooyeol Hyun; Woo-Jeoung Nam; Seong-Whan Lee (Neurocomputing, 2023)

Weakly supervised thoracic disease localization via disease masks. - Honggyu Jung; Woo-Jeoung Nam; Hyun-Woo Kim; Seong-Whan Lee (Neurocomputing, 2023)

PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection. - Dong-Ok Won; Yong-Nam Jang; Seong-Whan Lee (IEEE Trans. Emerg. Top. Comput., 2023)

Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. - Ji-Seon Bang; Dong-Ok Won; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2023)

Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. - Dae-Hyeok Lee; Ji-Hoon Jeong; Baek-Woon Yu; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Syst. Man Cybern. Syst., 2023)

EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts. - Minho Lee; Adai Shomanov; Adnan Yazici; Zhuldyz Kabidenova; Balgyn Begim; Aruna Nyssanbay; Seong-Whan Lee (Zenodo, 2023)

Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space. - Seung-Hyup Na; Woo-Jeoung Nam; Seong-Whan Lee (Expert Syst. Appl., 2023)

Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. - Ji-Hoon Jeong; Jeong-Hyun Cho; Byeong-Hoo Lee; Seong-Whan Lee (IEEE Trans. Cybern., 2023)

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion. - Ha-Yeong Choi; Sang-Hoon Lee; Seong-Whan Lee (AAAI, 2024)

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data. - Heejo Kong; Suneung Kim; Ho-Joong Kim; Seong-Whan Lee (AAAI, 2024)

EEG-Based Target Recognition for Multi-camera Surveillance Systems. - Dong-Kyun Han; Sung-Jin Kim; Heon-Gyu Kwak; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (BCI, 2024)

Brain-Driven Representation Learning Based on Diffusion Model. - Soowon Kim; Seo-Hyun Lee; Young-Eun Lee; Ji-Won Lee; Ji-Ha Park; Peter Kazanzides; Seong-Whan Lee (BCI, 2024)

Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution. - Hye-Bin Shin; Kang Yin; Seong-Whan Lee (BCI, 2024)

TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression. - Ho-Joong Kim; Jung-Ho Hong; Heejo Kong; Seong-Whan Lee (CVPR, 2024)

Proxy-based Masking Module for Revealing Relevance of Characteristics in Motor Imagery. - Hyeon-Taek Han; Sung-Jin Kim; Dae-Hyeok Lee; Seong-Whan Lee (EMBC, 2024)

Towards Speech Synthesis of Unconstrained Sentences from Speech-related Biosignals. - Deok-Seon Kim; Seo-Hyun Lee; Young-Eun Lee; Seong-Whan Lee (EMBC, 2024)

Domain-Incremental Learning Framework for Continual Motor Imagery EEG Classification Task. - Dan Li; Hye-Bin Shin; Kang Yin; Seong-Whan Lee (EMBC, 2024)

Baseline-Guided Representation Learning for Noise-Robust EEG Signal Classification. - Elissa Yanting Lim; Kang Yin; Hye-Bin Shin; Seong-Whan Lee (EMBC, 2024)

Dynamic Multi-modal Fusion for Biosignal-based Motion Sickness Prediction in Vehicles. - Seo-Hyeon Park; Dong-Kyun Han; Seong-Whan Lee (EMBC, 2024)

Towards EEG-based Talking-face Generation for Brain Signal-driven Dynamic Communication. - Ji-Ha Park; Seo-Hyun Lee; Seong-Whan Lee (EMBC, 2024)

Midi-Voice: Expressive Zero-Shot Singing Voice Synthesis via Midi-Driven Priors. - Dong-Min Byun; Sang-Hoon Lee; Ji-Sang Hwang; Seong-Whan Lee (ICASSP, 2024)

TranSentence: speech-to-speech Translation via Language-Agnostic Sentence-Level Speech Encoding without Language-Parallel Data. - Seung-Bin Kim; Sang-Hoon Lee; Seong-Whan Lee (ICASSP, 2024)

Cross-Lingual Text-to-Speech via Hierarchical Style Transfer. - Sang-Hoon Lee; Ha-Yeong Choi; Seong-Whan Lee (ICASSP Workshops, 2024)

Test-Time Adaptation for EEG-Based Driver Drowsiness Classification. - Geun-Deok Jang; Dong-Kyun Han; Seong-Whan Lee (ICPRAI (1), 2024)

Enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup. - Woo-Seok Jo; Yeong-Joon Ju; Seong-Whan Lee (ICPRAI (1), 2024)

AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking. - Vitaliy Kim; Gunho Jung; Seong-Whan Lee (ICPRAI (1), 2024)

Description Attribute-Enhanced Spatio-Temporal Zero-Shot Action Recognition. - Yehna Kim; Ho-Joong Kim; Seong-Whan Lee (ICPRAI (2), 2024)

TIFu: Tri-Directional Implicit Function for High-Fidelity 3D Character Reconstruction. - Byoung-Sung Lim; Seong-Whan Lee (ICPRAI (2), 2024)

Clustering-based Augmentation for Effective Self-supervised Learning in Sleep Staging. - Pavel Tsoi; Young-Seok Kweon; Seong-Whan Lee (IJCNN, 2024)

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech. - Deok-Hyeon Cho; Hyung-Seok Oh; Seung-Bin Kim; Sang-Hoon Lee; Seong-Whan Lee (INTERSPEECH, 2024)

Toward Approaches to Scalability in 3D Human Pose Estimation. - Jun-Hui Kim; Seong-Whan Lee (NeurIPS, 2024)

Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection. - Yearang Lee; Ho-Joong Kim; Seong-Whan Lee (NeurIPS, 2024)

Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. - Daniel Shrewsbury; Suneung Kim; Young-Eun Kim; Heejo Kong; Seong-Whan Lee (PAKDD (1), 2024)

RoPAR: Enhancing Adversarial Robustness with Progressive Image Aggregation and Reordering Noise. - Jong-Hyun An; Jung-Ho Hong; Hee-Dong Kim; Seong-Whan Lee (SMC, 2024)

CHBaR: Conditional Hilbert Schmidt Bottleneck as Regularization for Adversarial Robustness. - Seung Wook Jung; Jung-Ho Hong; Hee-Dong Kim; Seong-Whan Lee (SMC, 2024)

Adaptive Integrating General and Personalized Features for Enhanced Decoding of Motor Imagery EEG Signals via HyperNet-Based Module. - Si-Hyun Kim; Sung-Jin Kim; Dae-Hyeok Lee; Heon-Gyu Kwak; Seong-Whan Lee (SMC, 2024)

PromotiCon: Prompt-based Emotion Controllable Text-to-Speech via Prompt Generation and Matching. - Ji-Eun Lee; Seung-Bin Kim; Deok-Hyeon Cho; Seong-Whan Lee (SMC, 2024)

CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement. - Jung-Woo Shim; Yeong-Joon Ju; Ji-Hoon Park; Seong-Whan Lee (SMC, 2024)

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation. - Hyoung-Seok Oh; Sang-Hoon Lee; Deok-Hyun Cho; Seong-Whan Lee (CoRR, 2024)

Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection. - Hayoung Jo; Seong-Whan Lee (CoRR, 2024)

Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization. - Sang-Hoon Lee; Ha-Yeong Choi; Seong-Whan Lee (CoRR, 2024)

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector. - Deok-Hyeon Cho; Hyung-Seok Oh; Seung-Bin Kim; Seong-Whan Lee (CoRR, 2024)

Enhancing Multimodal Query Representation via Visual Dialogues for End-to-End Knowledge Retrieval. - Yeong-Joon Ju; Ho-Joong Kim; Seong-Whan Lee (CoRR, 2024)

Explaining generative diffusion models via visual analysis for interpretable decision-making process. - Ji-Hoon Park; Yeong-Joon Ju; Seong-Whan Lee (Expert Syst. Appl., 2024)

Edge conditional node update graph neural network for multivariate time series anomaly detection. - Hayoung Jo; Seong-Whan Lee (Inf. Sci., 2024)

CIRF: Importance of related features for plausible counterfactual explanations. - Hee-Dong Kim; Yeong-Joon Ju; Jung-Ho Hong; Seong-Whan Lee (Inf. Sci., 2024)

Mixup Mask Adaptation: Bridging the gap between input saliency and representations via attention mechanism in feature mixup. - Minsoo Kang; Minkoo Kang 001; Seong-Whan Lee; Suhyun Kim 001 (Image Vis. Comput., 2024)

Ensuring spatial scalability with temporal-wise spatial attentive pooling for temporal action detection. - Ho-Joong Kim; Seong-Whan Lee (Neural Networks, 2024)

Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations. - Daniel Shrewsbury; Suneung Kim; Seong-Whan Lee (Neural Networks, 2024)

Geometry-driven self-supervision for 3D human pose estimation. - Geon-Jun Yang; Jun-Hee Kim; Seong-Whan Lee (Neural Networks, 2024)

Appearance debiased gaze estimation via stochastic subject-wise adversarial learning. - Suneung Kim; Woo-Jeoung Nam; Seong-Whan Lee (Pattern Recognit., 2024)

Audio Super-Resolution With Robust Speech Representation Learning of Masked Autoencoder. - Seung-Bin Kim; Sang-Hoon Lee; Ha-Yeong Choi; Seong-Whan Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

DiffProsody: Diffusion-Based Latent Prosody Generation for Expressive Speech Synthesis With Prosody Conditional Adversarial Training. - Hyung-Seok Oh; Sang-Hoon Lee; Seong-Whan Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. - Kyung-Min Jin; Gun-Hee Lee; Woo-Jeoung Nam; Tae-Kyung Kang; Hyun-Woo Kim; Seong-Whan Lee (Neural Networks, 2024)

MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video. - Hyun-Woo Kim; Gun-Hee Lee; Woo-Jeoung Nam; Kyung-Min Jin; Tae-Kyung Kang; Geon-Jun Yang; Seong-Whan Lee (Pattern Recognit., 2024)

Uncertainty-Aware Portfolio Management With Risk-Sensitive Multiagent Network. - Kidon Park; Hong-Gyu Jung; Tae-San Eom; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2024)

GITGAN: Generative inter-subject transfer for EEG motor imagery analysis. - Kang Yin; Elissa Yanting Lim; Seong-Whan Lee (Pattern Recognit., 2024)

LC-MSM: Language-Conditioned Masked Segmentation Model for unsupervised domain adaptation. - Young-Eun Kim; Yu-Won Lee; Seong-Whan Lee (Pattern Recognit., 2024)

Corrigendum to "GITGAN: Generative inter-subject transfer for EEG motor imagery analysis" [Pattern Recognition 146 (2024) 110015]. - Kang Yin; Elissa Yanting Lim; Seong-Whan Lee (Pattern Recognit., 2024)

DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. - Ji-Hoon Jeong; In-Gyu Lee; Sung-Kyung Kim; Tae-Eui Kam; Seong-Whan Lee; Euijong Lee (IEEE J. Biomed. Health Informatics, 2024)

MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency. - Seungwon Oh; Young-Seok Kweon; Gi-Hwan Shin; Seong-Whan Lee (IEEE J. Biomed. Health Informatics, 2024)

EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts. - Minho Lee; Adai Shomanov; Adnan Yazici; Zhuldyz Kabidenova; Balgyn Begim; Aruna Nyssanbay; Seong-Whan Lee (Zenodo, 2024)

ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow. - Jumin Han; Jun-Hee Kim; Seong-Whan Lee (AAAI, 2025)

MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval. - Yeong-Joon Ju; Ho-Joong Kim; Seong-Whan Lee (ACL (Findings), 2025)

Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms. - Heon-Gyu Kwak; Gi-Hwan Shin; Yeon-Woo Choi; Dong-Hoon Lee; Yoo-In Jeon; Jun-Su Kang; Seong-Whan Lee (BCI, 2025)

Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface. - Ji-Ha Park; Seo-Hyun Lee; Soowon Kim; Seong-Whan Lee (BCI, 2025)

EEG-Based Multimodal Representation Learning for Emotion Recognition. - Kang Yin; Hye-Bin Shin; Dan Li; Seong-Whan Lee (BCI, 2025)

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers. - Jung-Ho Hong; Ho-Joong Kim; Kyu-Sung Jeon; Seong-Whan Lee (CVPR, 2025)

DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer. - Ho-Joong Kim; Yearang Lee; Jung-Ho Hong; Seong-Whan Lee (CVPR, 2025)

Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition. - Lintong Zhang; Kang Yin; Seong-Whan Lee (CVPR, 2025)

JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis. - Junhyeok Cha; Seung-Bin Kim; Hyung-Seok Oh; Seong-Whan Lee (ICASSP, 2025)

Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation. - Sun-Hyuk Choi; Hayoung Jo; Seong-Whan Lee (ICASSP, 2025)

Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding. - Ji-Ha Park; Seo-Hyun Lee; Soowon Kim; Seong-Whan Lee (ICASSP, 2025)

FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching. - Jun-Hak Yun; Seung-Bin Kim; Seong-Whan Lee (ICASSP, 2025)

SUGAR: Leveraging Contextual Confidence for Smarter Retrieval. - Hanna Zubkova; Ji-Hoon Park; Seong-Whan Lee (ICASSP, 2025)

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation. - Sang-Hoon Lee; Ha-Yeong Choi; Seong-Whan Lee (ICLR, 2025)

Multi-layer prototype learning with Dirichlet mixup for open-set EEG recognition. - Dong-Kyun Han; Minji Lee; Seong-Whan Lee (Expert Syst. Appl., 2025)

A brain-inspired model for multi-step forecasting of malignant arrhythmias. - Yun Kwan Kim; Insung Choi; Sun Jung Lee; Hye-Bin Shin; Gyung Chul Kim; Hee Seok Song; Minji Lee; Seong-Whan Lee (Expert Syst. Appl., 2025)

Functional connectivity guided deep neural network for decoding high-level visual imagery. - Byoung-Hee Kwon; Minji Lee; Seong-Whan Lee (Expert Syst. Appl., 2025)

MTCM: Multi-context temporal consistent modeling for referring video object segmentation. - Sun-Hyuk Choi; Hayoung Jo; Seong-Whan Lee (Neural Networks, 2025)

HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models. - Ji-Sang Hwang; Sang-Hoon Lee; Seong-Whan Lee (Neural Networks, 2025)

AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters. - Suneung Kim; Seong-Whan Lee (Neural Networks, 2025)

Semantic prioritization in visual counterfactual explanations with weighted segmentation and auto-adaptive region selection. - Lintong Zhang; Kang Yin; Seong-Whan Lee (Neural Networks, 2025)

Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium. - Woo-Jeoung Nam; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Calibration-Free Driver Drowsiness Classification With Prototype-Based Multi-Domain Mixup. - Dong-Young Kim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2025)

ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models. - Singon Kim; Gunho Jung; Seong-Whan Lee (CoRR, 2025)

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs. - Kun-Woo Kim; Ji-Hoon Park; Ju-Min Han; Seong-Whan Lee (CoRR, 2025)

Integrating Locality-Aware Attention with Transformers for General Geometry PDEs. - Minsu Koh; Beom-Chul Park; Heejo Kong; Seong-Whan Lee (CoRR, 2025)

Developing Brain-Based Bare-Handed Human-Machine Interaction via On-Skin Input. - Myoung-Ki Kim; Hye-Bin Shin; Jeong-Hyun Cho; Seong-Whan Lee (IEEE Trans. Cybern., 2025)

DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech. - Deok-Hyeon Cho; Hyung-Seok Oh; Seung-Bin Kim; Seong-Whan Lee (CoRR, 2025)

EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification. - Deok-Hyeon Cho; Hyung-Seok Oh; Seung-Bin Kim; Seong-Whan Lee (CoRR, 2025)

VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion. - Joon-Seung Choi; Dong-Min Byun; Hyung-Seok Oh; Seong-Whan Lee (CoRR, 2025)

Spotlight-TTS: Spotlighting the Style via Voiced-Aware Style Extraction and Style Direction Adjustment for Expressive Text-to-Speech. - Nam-Gyu Kim; Deok-Hyeon Cho; Seung-Bin Kim; Seong-Whan Lee (CoRR, 2025)

FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation. - Ebenezer Tarubinga; Jenifer Kalafatovich; Seong-Whan Lee (CoRR, 2025)

Language-Driven Spatial-Semantic Cross-Attention for Face Attribute Recognition With Limited Labeled Data. - Young-Eun Kim; Gyeong-Min Bak; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers. - Heejo Kong; Sung-Jin Kim; Gunho Jung; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2025)

RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation. - Geon Park; Seon Bin Kim; Gunho Jung; Seong-Whan Lee (CoRR, 2025)

ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation. - Hyun-Jun Jin; Young-Eun Kim; Seong-Whan Lee (CoRR, 2025)

Local Representative Token Guided Merging for Text-to-Image Generation. - Min-Jeong Lee; Hee-Dong Kim; Seong-Whan Lee (CoRR, 2025)

FIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering. - Ju-Young Oh; Ho-Joong Kim; Seong-Whan Lee (CoRR, 2025)

MCoT-RE: Multi-Faceted Chain-of-Thought and Re-Ranking for Training-Free Zero-Shot Composed Image Retrieval. - Jeong-Woo Park; Seong-Whan Lee (CoRR, 2025)

FAR-Net: Multi-Stage Fusion Network with Enhanced Semantic Alignment and Adaptive Reconciliation for Composed Image Retrieval. - Jeong-Woo Park; Young-Eun Kim; Seong-Whan Lee (CoRR, 2025)

Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces. - Hyo-Jeong Jang; Hye-Bin Shin; Seong-Whan Lee (CoRR, 2025)

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback. - Suzie Kim; Hye-Bin Shin; Seong-Whan Lee (CoRR, 2025)

KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs. - Woo-Chan Kim; Ji-Hoon Park; Seong-Whan Lee (CoRR, 2025)

Brain-Guided Self-Paced Curriculum Learning for Adaptive Human-Machine Interfaces. - Yeon-Woo Choi; Hye-Bin Shin; Seong-Whan Lee (IEEE Trans. Syst. Man Cybern. Syst., 2025)

From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model. - Yeong-Joon Ju; Seong-Whan Lee (CoRR, 2025)

Model-Agnostic and Efficient Mixup Augmentation Guided by Saliency Maps. - Minsoo Kang; Seong-Whan Lee; Suhyun Kim 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)