ScholarWorks@Korea University: Lee, Seong Whan

Detailed Information

Lee, Seong Whan (이성환)

Graduate School (Department of Artificial Intelligence)

Research Area

Tel 02-3290-3197
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ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Electroencephalography:24||Feature extraction:17||Deep learning:14||electroencephalogram:14||Brain modeling:14||deep learning:13||Task analysis:12||Braincomputer interface (BCI):11||Training:11||Decoding:8||braincomputer interface:8||EEG:7||electroencephalogram (EEG):7||Electrodes:7||motor imagery:7||Sign language recognition:7||electroencephalography:7||electroencephalography (EEG):6||Visualization:6||Alzheimer's disease:6||sign language spotting:5||motor imagery (MI):5||Mild cognitive impairment (MCI):5||conditional random field:5||Feature selection:5||Transfer learning:5||Functional connectivity:5||Alzheimer's disease (AD):5||convolutional neural network (CNN):4||optimization:4||classification:4||Sleep:4||Braincomputer interface:4||Electroencephalogram:4||feature selection:4||Estimation:3||convolutional neural networks:3||Dynamic Bayesian Network:3||Brainmachine interface:3||Transformers:3||Unsupervised learning:3||Dynamic Bayesian network:3||autism spectrum disorder:3||Data augmentation:3||Classification:3||mild cognitive impairment:3||convolutional neural network:3||Sparse representation:3||Qlearning:3||Electroencephalography (EEG):3||Video Surveillance:3||threshold model:3||Support vector machine:3||Generative adversarial networks:3||Complexity theory:3||Electroencephalogram (EEG):3||mental states:2||functional connectivity network:2||Multitask learning:2||수화 인식:2||View Estimation:2||Human Interaction Recognition:2||Multiresolution wavelet transforms:2||Counterfactual explanation:2||Brain–computer interface:2||Generative neural networks:2||Calibration:2||dynamic functional connectivity networks:2||Brain functional network:2||steady state visual evoked potentials:2||Color clustering:2||Color variance:2||Entropy:2||emotion recognition:2||Convolutional neural networks:2||Predictive models:2||Databases:2||Functional magnetic resonance imaging (fMRI):2||Gesture recognition:2||Conditional random field:2||Visual Stimuli Reconstruction:2||Hierarchical feature combining:2||Neural networks:2||graybox model:2||Kmeans clustering:2||비디오 서베일런스:2||Visual Information Processing:2||NonNegative Matrix Factorization:2||Pose Estimation:2||long shortterm memory:2||transformer:2||robotic arm:2||parameter estimation:2||Indexes:2||motor imagery classification:2||Supervised Learning:2||hidden Markov mesh random field (HMMRF):2||Object detection:2||Speech processing:2||Emotion recognition:2||Convolution:2||Monitoring:2||artifact removal:2||Kernel:2||Optimization:2||eventrelated potential:2||Mild cognitive impairment:2||Biometrics:2||visual surveillance:2||Logo transition detection:2||동적 베이지안 네트워크:2||Network of Dynamic Probabilistic Models:2||face recognition:2||Text extraction:2||Graylevel variation:2||Fewshot learning:2||Correlation:2||feature extraction:2||Selfsupervised learning:2||Explainable artificial intelligence:2||Performance evaluation:2||deep metric learning:2||visual fatigue:2||artificial intelligence:2||feature combination:2||Pattern Recognition:2||BrainComputer Interface (BCI):2||Extraction of Image Bases:2||Manifold Learning:2||lookahead technique:2||Generalization:2||Stroke (medical condition):2||Stroke:2||braincomputer interface (BCI):2||Computational modeling:2||Machine learning:2||action recognition:2||Computer vision:2||수화 적출:2||Active appearance model:2||Explainable AI:2||Generative model:2||network calibration:2||Support vector machines:2||myoelectric interfaces:2||Protocols:2||haptics:1||multichannel:1||Online action detection:1||nonlinear dynamic system:1||effective connectivity:1||nonlinear regression:1||continuous orientation estimation:1||aerial image:1||image registration:1||Respiration:1||EDA:1||electromyography:1||Brain network:1||Graph Laplacian regularization:1||BCI illiteracy:1||Diagnosis:1||peripheralfield stimulus:1||Braincomputer interfaces (BCI):1||Intrinsic properties of digital line:1||cognitive system:1||Quartile parameters:1||Selective Temporal Filtering:1||parameter changes:1||Canonical correlation analysis:1||Multiclass classification:1||Magnetic resonance imaging (MRI):1||Restingstate functional magnetic resonance imaging:1||neuroimaging data analysis:1||functional electrical stimulation:1||기계학습:1||brainmachine interface:1||point clouds:1||Wearable Robot Interfaces:1||view synthesis:1||coaxial:1||Defaultmode network:1||spatiospectral filter optimization:1||manifold learning:1||nonlinear dimensionality reduction:1||손 포즈 추정:1||Humanrobot interaction:1||Facial feature analysis:1||ERD/ERS:1||Sign language spotting:1||3차원 손 모델:1||Coupled particle filter:1||adaptive skin color model:1||임계치 모델:1||시점 추정:1||다양체 학습:1||singular value decomposition:1||error backprojection:1||multiview image sequence:1||video sequences:1||linear composition:1||document conversion:1||logical structure analysis:1||edge information:1||scene change detection:1||offline handwritten character recognition:1||multilingual character recognition:1||language classifier:1||로고 전이 검출:1||로고 기반의 비디오 분할:1||subvideo merging:1||3D Hand Pose Tracking:1||full body gesture database:1||normal/abnormal/command gesture:1||계층적 특징 결합:1||색 병합:1||sequential information:1||Sparse matrices:1||instantaneous frequency:1||Licenses:1||Rhythm:1||residual network (ResNet):1||Deep Learning:1||Epilepsy:1||ShallowConvNet:1||Uncertainty:1||portfolio management (PM):1||Generative Adversarial Networks:1||Malware Augmentation:1||Analogous Malware Detection:1||Physiology:1||Weakly supervised learning:1||Domain adaptation:1||Multiclass classification:1||GAN inversion:1||automatic sleep stage scoring:1||Body mesh recovery:1||indirect force sensing:1||deep neurolinguistic learning:1||Prosthetics:1||Realtime systems:1||Obesity:1||speech synthesis:1||texttospeech:1||3D human pose estimation:1||Visual explanation:1||Clinical decision support system:1||Vehicles:1||calibrationfree:1||Visual counterfactual explanation:1||deep learning electroencephalography (EEG):1||humanmachine interaction (HMI):1||Duration control:1||openset semisupervised learning (OSSL):1||zeroshot texttospeech:1||realworld environment:1||constrained independent component analysis (cICA):1||ambulatory environment:1||BCI inefficiency:1||Image recognition:1||geometric constraint:1||image recognition:1||Untrimmed video stream:1||Neurons:1||Sociology:1||Firstperson interaction recognition:1||intuitive robotic arm control:1||centralmoment features:1||movementrelated cortical potentials:1||MDL:1||Ovarian cancer:1||Prostate cancer:1||Classification algorithms:1||phaseamplitude coupling (PAC):1||motorimagery:1||Alzheimers disease:1||Human interaction:1||Subvolume cooccurrence matrix:1||Video surveillance:1||steadystate somatosensory evoked potential (SSSEP):1||eventrelated potential (ERP):1||hierarchical clustering:1||functional correlation tensor:1||MCI conversion:1||Convolutional neural network:1||authentication:1||MRI:1||cortical thickness:1||ensemble learning:1||Deep architecture:1||Bayesian test:1||Dynamic functional connectivity:1||motion influence map:1||Arm movement trajectory:1||Hybrid braincomputer interfacing:1||Subjectdependent classification:1||Human group activity recognition:1||Restingstate fMRI:1||view invariance:1||volumetric spatial feature representation:1||Initial deformation prediction:1||Multimodal data fusion:1||Shared feature representation:1||multiclass image classification:1||postprocessing:1||Nonnegative matrix factorization (NMF):1||Gaussian process regression:1||Video segmentation based on logos:1||SelfOrganizing Map:1||network of dynamic probabilistic models:1||영상 기저 추출:1||비음수 행렬 분해:1||Coupled hidden Markov model:1||Volume Motion Template:1||Silhouette energy image:1||Action recognition:1||3D hand tracking:1||3D hand model:1||피부 영역 분할:1||region histogram:1||포즈 추정:1||교사 학습:1||뉴스 비디오 파싱:1||손 제스처 인식:1||HumanComputer Interface:1||examplebased reconstruction:1||face hallucination:1||region tracking:1||illuminated exemplar:1||posture determination:1||gesture spotting:1||temporal color:1||Probabilistic Graphical Model:1||Jointembedding multihead attention:1||Visual question answering:1||mild cognitive impairment (MCI):1||Mathematical model:1||Covariance matrices:1||brain connectivity:1||Biomarkers:1||explainable artificial intelligence (XAI):1||Mutual information:1||Probability:1||Interacting body part attention:1||Electrocardiography:1||Picture archiving and communication systems:1||open datasets:1||Portfolios:1||uncertainty quantification:1||Malware:1||Semantics:1||Visual perception:1||Outofdistribution detection:1||Superresolution:1||Data models:1||Adversarial loss:1||Stochastic subject selection:1||digital healthcare:1||prosody modeling:1||Sleep quality:1||sleep onset latency:1||Gaussian distribution:1||Deep neural networks:1||Braininspired learning:1||prototypebased multidomain mixup:1||Openset recognition:1||Prototype learning:1||onskin touch and gestural input:1||selfsupervised representation:1||Scalp:1||Signal to noise ratio:1||visual imagery:1||fully convolutional network:1||convolutional neural networks (CNNs):1||deep learning (DL):1||intuitive upper extremity movements:1||Statistics:1||unscented Kalman filter (UKF):1||earelectroencephalography (EEG):1||Brainmachine interface (BMI):1||conventional FC network:1||Magnetic resonance imaging:1||deep convolutional neural network:1||BrainComputer Interface:1||Multiclass discrimination:1||steadystate visually evoked potential:1||OpenBMI toolbox:1||Restingstate functional magnetic resonance imaging (rsfMRI):1||Aerial image:1||Selfrepresentation:1||Patchbased labeling:1||image edge detection:1||gazeindependent:1||Autocontext model:1||lane departure warning (LDW) system:1||Uterine contraction:1||Chaos population model:1||Parameter estimation:1||Brain disease diagnosis:1||Adaptive estimation:1||Sparse regression model:1||Acute hypotensive episodes:1||response inhibition:1||Keyfeature vector:1||Epileptic seizure:1||Partial likelihood:1||sparse coding:1||양자 기계학습:1||인공지능:1||surface materials:1||Alzheimer's Disease (AD):1||Multimodal classification:1||brain computer interface (BCI):1||concentric:1||tracking:1||Blind source separation (BSS):1||Visuomotor task:1||Selfocclusion:1||Moment invariants:1||Logo detection and recognition:1||Particle Filter:1||Pointing gesture recognition:1||시각 정보 처리:1||얼굴 특징 분석:1||Human action recognition:1||Motion History Image:1||Global motion description:1||CRF(conditional random field):1||structured hyperdocument:1||SOFM:1||신뢰 전파(Belief Propagation):1||은닉 마르코프 모델:1||인간컴퓨터 상호작용:1||spatiotemporal features:1||텍스트 추출:1||energy threshold:1||Electromyography:1||Timbre:1||augmentation:1||Model agnostics:1||Attention mechanism:1||reinforcement learning (RL):1||Big Data:1||Generators:1||self–attention:1||Video anomaly detection:1||singlechannel EEG:1||3D human pose:1||Pose estimation:1||Artificial intelligence:1||Particle measurements:1||denoising diffusion model:1||Sleep onset latency:1||Endtoend training:1||Temporal action detection:1||Attribution method:1||Electrocardiogram:1||domain generalization:1||Editing sequence:1||Novelclass detection:1||human–machine interface (HMI):1||assistive technology:1||vibrotactile feedback:1||active touch:1||Steadystate:1||imagined speech:1||multiscale:1||Learning systems:1||neural network:1||Firstperson vision:1||Advanced driver assistance system:1||contents based image retrieval (CBIR):1||schizophrenia:1||classifiers:1||emotion:1||sleep:1||SIFT descriptor:1||Feature matching:1||Nomography matrix:1||restingstate functional magnetic resonance imaging (RfMRI):1||Brain image labeling:1||Fully convolutional network:1||electrooculogram (EOG):1||visual feedback:1||Gated recurrent unit:1||Matrix completion:1||Lowrank representation:1||Joint classification and regression random forest:1||Human interaction recognition:1||Compositional interaction descriptor:1||Human motion analysis:1||line segment:1||multiple clusters:1||identification:1||Cardiotocography:1||Unscented Kalman filter:1||Minimum description length:1||Automatic mining:1||minimum description length:1||compression:1||RSVP:1||Prediction:1||Physiological signal analysis:1||Electromyogram (EMG):1||clinical neurofeedback:1||quantum computing:1||Crowded scenes:1||machine vision:1||pattern recognition:1||braking intention:1||Deformable image registration:1||Regression Technique:1||Crossdistance matching:1||multitask learning:1||Motor imagery classification:1||Multimodal:1||Pill images:1||3D particle filter:1||관상학:1||Viewindependence:1||특이값 분해:1||shot boundary detection:1||aid for the visually impaired:1||3D face reconstruction:1||appearance model:1||로고 검출 및 인식:1||video segmentation based on logos:1||3차원 손 포즈 추적:1||Virtual Keypad:1||reconstruction of 3D human body pose:1||3D human body model:1||Referring expression generation:1||finger tapping classification:1||Imagined speech:1||skeleton extraction:1||Image segmentation:1||Computed tomography:1||Atrial fibrillation:1||Reinforcement learning:1||Uncertain systems:1||Malware Data:1||Music classification:1||Multiview geometry:1||masked autoencoder:1||visualinertial input:1||Diffusion process:1||Saliency map:1||Bioinformatics:1||Distributionapproach model:1||Instance weighting:1||Partial labels:1||Graph neural network:1||Driver drowsiness state classification:1||Bias ambiguity:1||Contrastive approach:1||Weighted semantic map:1||style disentanglement:1||semisupervised learning (SSL):1||Emotional speech synthesis:1||userstate decoding:1||online learning:1||mass segmentation:1||Whales:1||multimodal signals:1||Long shortterm memory:1||Chaos:1||gemetric transformation:1||MCI diagnosis:1||coupled feature (CFR) representation:1||Subjecttransfer framework:1||Linear regression:1||frontal asymmetry:1||EEG datasets:1||Group sparse representation:1||HRV:1||cardiovascular:1||P300 speller:1||Group activity recognition:1||rapid serial visual presentation (RSVP):1||vanishing point estimation:1||support vector machine:1||Hierarchical clustering:1||Coordinate descent algorithm:1||LASSO:1||Deep ensemble learning:1||chaos population model:1||Twolayer Bayesian network:1||Hand gesture recognition:1||ERP:1||cortical anatomy:1||surface area:1||proportional control:1||Sparse least squared regression:1||Timevarying survival analysis:1||multimodal neuroimaging:1||양자컴퓨팅:1||visual perception:1||Classifier combination:1||associated emotion:1||웨어러블 로봇 인터페이스:1||Nighttime face recognition:1||Heterogeneous face matching:1||Image restoration:1||Locally Linear Embedding (LLE):1||Deep Boltzmann Machine:1||Nonnegative matrix/tensor factorization:1||total variation:1||Facespecific visual self representation:1||Discriminative feature extraction:1||Brain computer interfaces:1||Subjectindependent classification:1||pseudodata:1||sequence labeling:1||Hand Pose Estimation:1||Cascade HMM:1||Physiognomy:1||Continuous gesture spotting:1||Daily life actions:1||결합된 파티클 필터:1||다중 증거 결합:1||multicue integration:1||Skin segmentaion:1||semiCRF(semiMarkov conditional random field):1||수화인식:1||adaptive resonance theory:1||휴먼 상호 행동 인식:1||extended morphable face model:1||portable computer vision system:1||action matrix:1||combined localglobal (CLG) optic flow:1||estimation of camera motion parameters:1||perspective motion model:1||face synthesis:1||low resolution video annotation:1||maximum marginal a posteriori probability:1||Oriental character recognition:1||HumanComputer Interaction:1||3D human modeling:1||gesture recognition:1||performance evaluation of face recognition algorithms:1||밝기 변화:1||다해상도 웨이블릿 변환:1||Knowledge distillation:1||Brain–computer interface (BCI):1||Visual reasoning:1||brain functional networks (BFNs):1||temporal dependency:1||Presses:1||DC motors:1||electrocardiography (ECG):1||DEAP:1||SEED IV:1||SELEMO:1||Braincomputer interfaces:1||Feature pyramid network:1||Investment:1||Zeroday Malware:1||Wireless communication:1||Wireless sensor networks:1||Localization:1||Face antispoofing:1||Transformer:1||bandwidth extension:1||neural language decoding:1||Spectrogram:1||Appearancebased gaze estimation:1||Childhood obesity prediction:1||Sensors:1||Pose alignment:1||emotion transfer:1||mammogram:1||remote sensing image retrieval (RSIR):1||Neuroimaging:1||Computeraided AD:1||coupled boosting (CB):1||forearm motor execution and motor imagery:1||weighted phase lag index (WPLI):1||drowsiness levels classification:1||Highorder:1||Motor imagery:1||multiview groupsparse network:1||Human activity prediction:1||competing effect:1||Recurrent neural network:1||Data imputation:1||braincontrolled wheelchair:1||Brain ROI segmentation:1||functional magnetic resonance imaging:1||functional network analysis:1||restingstate fMRI:1||causality:1||topdown processing:1||Oracle inequalities:1||Virtual mouse interface:1||braincomputer interfaces:1||neurons population:1||Crossing hazard functions:1||Log rank test:1||machine learning:1||motion flow:1||functional magnetic resonance imaging (fMRI):1||kernel ridge regression:1||upper limb rehabilitation:1||Combined EEGNIRS:1||denoising:1||Cocaine addiction:1||Group ICA:1||Person authentication:1||Online conditional random field:1||Aitken acceleration:1||3D pose estimation:1||자기조직화지도:1||human interaction analysis:1||subinteractions:1||휴먼휴먼 상호 행동 인식:1||Hand gestures recognition:1||수화적출:1||샷 경계 탐지:1||점증적 클러스터링:1||계층적 베이지안 네트워크:1||regionbased reconstruction:1||Walking guidance:1||Computer Vision:1||vector quantization:1||Direct feature extraction:1||MPEG compressed video:1||부비디오 병합:1||logo detection and recognition:1||가상 키패드:1||Hidden Markov Model:1||human motion analysis:1||색 분산:1||motor execution:1||Speech recognition:1||spectral entropy:1||FuglMeyer assessment (FMA):1||network property:1||KSVD:1||realtime classification:1||pancreas segmentation:1||Pancreas:1||Shape:1||Speech:1||voice conversion:1||Human human interaction:1||Arrhythmia classification:1||squeezeandexcitation (SE) block:1||PSO:1||neural decoding:1||ASCERTAIN:1||financial trading:1||Training data:1||Motion sickness:1||Modelagnostic metalearning:1||Posthoc explanation:1||bidirectional longshort term memory:1||Generative adversarial learning:1||Force estimation:1||Pediatrics:1||Wearable Health Monitoring Systems:1||generative adversarial networks:1||Time distribution:1||Selfsupervision:1||Multistep forecasting:1||Safety:1||Debiasing in classification tasks:1||Representation learning:1||Dirichlet mixup:1||emotion style and intensity control:1||Curriculum learning:1||fewshot learning:1||subjectindependent:1||multiple sessions:1||Future frame generation:1||Dynamical systems:1||dynamic causal modeling:1||Threestream fusion network:1||Camera egomotion:1||restingstate functional MRI:1||ECG:1||weighted ensemble learning:1||power spectral density (PSD):1||binaural beat:1||Viewpoint change:1||multikernel fusion:1||Pretrained CNN:1||PPG:1||steadystate visual evoked potential:1||probabilistic line segment representation:1||line segment validation:1||Deformable model:1||Lane detection:1||functional connectivity:1||Highorder network:1||Penalized least squares:1||segmentation:1||dry electrodes:1||impulsivity:1||Hidden Markov model:1||multiclass classification:1||quantum machine learning:1||exoskeleton control:1||Mild Cognitive Impairment (MCI):1||abstract representation:1||fMRI:1||Latent feature representation:1||depth camera:1||electroencephalography (EEG):1||Crossspectral matching:1||Alzheimer's Disease:1||Mild Cognitive Impairment:1||BoostMap embedding:1||Face recognition at a distance:1||Model order:1||Spatial filter optimization:1||ElectroEncephaloGraphy (EEG):1||Image retrieval:1||시각 자극 복원:1||영역 히스토그램:1||조명 적응적 피부색 모델:1||mercer kernel:1||Hierarchical Bayesian Network:1||Hand Gesture Recognition:1||optical flows:1||linear decomposition:1||multiple object tracking:1||multiple people detection:1||multicolumn document:1||document image understanding:1||offline handwritten character recognition:1||LVQ4:1||확률 그래프 모델:1||Belief Propagation:1||Korean face database:1||feature selection strategy:1||Convolutional Neural Network (CNN):1||Functional magnetic resonance imaging:1||Sparse:1||Swarm intelligence:1||Skeleton:1||Biomedical imaging:1||information bottleneck:1||nonautoregressive model:1||voice style transfer:1||Human activity recognition:1||Interpretability:1||DREAMER:1||Linear programming:1||Thoracic disease:1||Latent interpolation:1||Video understanding:1||selfsupervised learning:1||autoencoder:1||sleep stage classification:1||Textimage correlation:1||daily health informatics:1||Mixup:1||Regularization:1||Multilabel recognition:1||Multivariate time series:1||Malignant arrhythmia:1||Neural audio codec:1||Semantic relevance:1||emotional voice conversion:1||openset recognition:1||intuitive BCI:1||3D convolutional neural network:1||Ear:1||steadystate visual evoked potential (SSVEP):1||Threestream correlation fusion:1||coarsetofine learning:1||image matching:1||endtoend trainable network:1||ensemble:1||Pilot's mental states:1||Measurement:1||coupled metric ensemble (CME):1||regression:1||theta wave:1||autonomous sensory meridian response:1||computeraided diagnosis:1||multiview learning:1||Joint sparse learning:1||Multiatlasbased method:1||Sequence modeling:1||Brainmachine interfaces (BMIs):1||probabilistic voting:1||discriminative restricted Boltzmann machine:1||Fetal heart rate:1||Sparse coding:1||Manifold learning:1||computer security:1||nonlinear dynamic model:1||Mild cognitive impairment conversion:1||Positron emission topography (PET):1||Bspline:1||Proportional hazards model:1||subspace learning:1||nearinfrared spectroscopy:1||unusual activity detection:1||visionbased surveillance:1||braincomputer interfaces (BCI):1||Sparse regression learning:1||MVPA:1||driving:1||Electromyogram:1||근전도:1||패턴인식:1||회귀 기법:1||neuroimaging analysis:1||3D video coding:1||MAP:1||PTZ camera:1||3D human pose tracking:1||EEGNIRS:1||incremental learning:1||Illicit drugs:1||Imprints:1||Color histogram:1||Subvideo merging:1||파티클 필터:1||video surveillance:1||PersontoPerson Interaction Recognition:1||frequency bands selection:1||Fingerspelling spotting:1||Variability action models:1||3차원 손 추적:1||news video parsing:1||동적 확률 모델 네트워크:1||휴먼컴퓨터 인터페이스:1||invariant Zernike moments:1||multidimensional hidden Markov model (MDHMM):1||photometric stereo:1||posture descriptor:1||human activity recognition:1||Support Vector Machines:1||discrete cosine transform:1||depth information:1||restingstate functional magnetic resonance imaging:1||Thumb:1||Scalability:1||multiclass common spatial pattern (CSP):1||ELM:1||SOM:1||highlevel tasks:1||Muscles:1||Multitask FCN:1||Hybrid feature extraction:1||few shot:1||Analytical models:1||competition:1||Affective state:1||Small object detection:1||wireless devices:1||mental imagery:1||Unsupervised domain adaptation (UDA):1||Audio superresolution:1||audio synthesis:1||robotassisted minimally invasive surgery:1||Unsupervised domain adaptation:1||Semantic segmentation:1||Metalearning:1||Anomaly detection:1||Singing voice synthesis:1||Latent diffusion model:1||

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