ScholarWorks@Korea University: Ko, Han seok

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Ko, Han seok (고한석)

College of Engineering

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Tel 3239, 4995
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Convolution:18||Feature extraction:16||Training:11||Earthquakes:10||deep learning:9||Deep learning:7||Task analysis:6||earthquake event classification:5||convolutional neural network (CNN):4||Estimation:4||Data models:4||acoustic echo cancellation system:4||generative adversarial networks:4||Generative adversarial networks:4||Generators:4||Noise reduction:3||Data mining:3||transfer learning:3||residual acoustic echo cancellation:3||generalized sidelobe canceller:3||attention mechanism:3||Computational modeling:3||Speech enhancement:3||Keyword spotting:3||feature fusion:3||COVID19:3||Computer architecture:3||Logic gates:3||Convolutional neural network (CNN):3||speech enhancement:3||Hidden Markov models:3||Image resolution:3||Neural networks:3||transformer:2||magnitude estimation:2||edge detection filter:2||cylindrical model:2||pose invariant:2||seismic event classification:2||voice activity detection:2||Compressive sensing (CS):2||multitasking deep learning:2||Convolution neural network (CNN):2||Emotion recognition:2||Semantics:2||nonhomogeneous noise:2||Trajectory segmentation:2||feature extraction:2||Image enhancement:2||frame energy:2||face recognition:2||Kernel:2||feedback:2||Dilated convolution:2||image restoration:2||Image segmentation:2||Sonar:2||Computed tomography:2||Spectrogram:2||sidescan sonar (SSS):2||spectral classification:2||beamforming:2||Image coding:2||Gallium nitride:2||Atmospheric modeling:2||object detection:2||computer vision:2||denoising:2||nonstationary noise:2||Attention module:2||feature aggregation:2||Adversarial training:2||image denoising:2||Hidden Markov model:2||spectral pattern:2||face pose:2||Image reconstruction:2||Adaptation models:2||Convolutional neural networks:2||Acoustic event recognition:2||Gesture recognition:2||endpoint detection:2||local area:2||Measurement:2||curriculum learning (CL):2||Wdisjoint orthogonality:2||Filter parameter training:1||seismic waveforms:1||Streaming media:1||Learning based compressive sensing:1||Gated linear unit:1||Multisite based classification:1||Graph convolution networks:1||Seismic feature extraction:1||heart rate:1||special dueling deep Qlearning network:1||Dueling DQN:1||movement agent:1||enlarged search region:1||Environmental sound classification:1||bearing only target motion analysis:1||Trajectory shape modeling:1||Image matching:1||Compact HF radar:1||component analysis:1||simulation:1||license plate detection:1||spatial feature modelling:1||individualistic styles:1||conditional random fields:1||performance improvement:1||chaos theory:1||mutual information:1||Clustering:1||lip reading:1||Affine moment invariant (AMI):1||scaleinvariant feature transform (SIFT):1||robust feature extraction:1||로그 우도 비:1||Speech segmentation:1||SRPPHAT:1||회피기동:1||Adaptive motion model (AMM):1||Nonstationary noise:1||동시통화 검출:1||MFCC:1||LPCCC 기반의 음성특징:1||Robust face recognition:1||local feature extraction:1||3D rotation:1||translation:1||Sonar measurements:1||Transmitters:1||masking effect:1||convolutional autoencoder:1||intercluster separability:1||Bit error rate:1||ISTA:1||compressive sensing:1||Dualpath residual network:1||CoordConv:1||Domain adaptation:1||human skeleton:1||Infection segmentation:1||prototypical learning. features trained the:1||epicentral distance estimation:1||neural architecture search:1||seismic synthesis:1||Neural radiance field (NeRF):1||Noisy label:1||Uncertainty:1||Convolutional neural network:1||region proposal network (RPN):1||Skip connection Denoising Autoencoder (SKDAE):1||Image color analysis:1||Weak label:1||Convolution neural networks:1||Deep neural networks:1||treesearch algorithms:1||RangeDoppler Map:1||recurrent neural network:1||Convolution neural network:1||airlight:1||Acoustic source separation:1||neural nets:1||Beamforming:1||medical imaging:1||Wiener filter:1||dehazing:1||depth estimation:1||고속 퓨리에 변환:1||Log likelihood ratio:1||Context awareness:1||Effectiveness Analysis:1||Evasive Maneuvering:1||dynamic time warping (DTW):1||gabor feature:1||optimallymodified logspectral amplitude:1||affine invariant:1||amelioration:1||Transforms:1||multifeature fusion:1||heterogeneous features:1||earthquake classification:1||Automatic segmentation:1||global maximum pooling (GMP):1||image compressed sens ing:1||Action recognition:1||Teacherstudent network:1||Unsupervised learning:1||Costs:1||Normalizing flow:1||Ambiguity:1||domain adaptation:1||Inference algorithms:1||Classification algorithms:1||conditional generative adversarial network:1||data augmentation:1||bidirectional encoder representations from transformers (BERT):1||convolutional neural networks (CNNs):1||Scattering:1||Image denoising:1||Earthquake event classification:1||MelSpectrogram:1||Principle component analysis:1||Weight initialization:1||Deep Neural Network (DNN):1||blind source separation:1||object tracking:1||tracking:1||relay dueling network:1||deep reinforcementlearningbased method:1||scaling agent:1||vertical movements:1||tracking performance:1||Weiner filter:1||PNCCs (Power Normalized Cepstral Coefficients):1||super resolution:1||sparse coding:1||Widearea surveillance:1||Ship detection:1||Ship Tracking:1||CuAlloy Contact Wire:1||underwater image:1||dehazing:1||weighted entropy:1||handwritten character recognition:1||vision based gesture recognition:1||public database:1||Hearingimpaired person:1||Speechtotext transcription:1||video summarization:1||retinal image registration:1||and cleaning robot platform:1||acoustic signal classification:1||context awareness:1||Lightweight Torpedo:1||harmonic components:1||gait energy image:1||핸즈프리 반향제거:1||Principal component analysis:1||phoneme recognition:1||sound event classification:1||joint training:1||Image synthesis:1||image translation:1||maximum amplitude:1||metric learning:1||Information bottleneck:1||Correlation:1||Pose estimation:1||Fourier Transform:1||Convolutional autoencoder:1||Single image superresolution:1||Internal learning:1||Facial expression recognition (FER):1||Multiview face image:1||lowrank adaptation (LoRA):1||Voice conversion:1||Video anomaly detection:1||Artificial intelligence:1||Channel attention and shuffle:1||High energy frequency:1||fusion model:1||synthesis:1||Wasserstein distance:1||audio stream generation:1||fusion method:1||Audio event classification:1||Selfattention:1||Side scan sonar:1||infrared image pairs:1||speech activity detection:1||artificial intelligence:1||Robust speech recognition:1||visual tracking:1||CNN (Convolutional Neural Network):1||Compact highfrequency (HF) radar:1||multistatic sonar:1||sonar tracking:1||sonar applications:1||MHT:1||bottleneck feature:1||Local patch clustering distribution:1||simulator:1||license plate character segmentation:1||alphanumeric hand gesture recognition:1||numeric characters:1||convolution neural network:1||salient features:1||Twomicrophone speech enhancement:1||Multimodal image fusion:1||tilting train:1||nonlocal means:1||Directional statistics:1||음성 끝점 검출:1||Frame energy:1||Fast fourier transform:1||sound source localization (SSL):1||Backlight compensation:1||perceptual acoustic echo suppressor:1||auditory spectral envelope:1||Headbodytail HMM:1||realtime lipsync:1||Sentiment analysis:1||Fuses:1||Scene understanding:1||semantic segmentation:1||Weakly labeled sound event detection (WSED):1||Time series analysis:1||3D face reconstruction:1||Pattern classification:1||Subband:1||Low energy feature vanishing:1||visual object tracking:1||Automatic speech recognition (ASR):1||robust speech recognition:1||database augmentation:1||Generative model:1||Image dehazing:1||Convolution Neural Network (CNN):1||Tf segmentation map:1||speech detection:1||cardiac signal:1||learning (artificial intelligence):1||visual object tracking tasks:1||RANSAC:1||HF Radar:1||ship detection:1||signal model:1||binarization:1||transmission:1||gesture recognition:1||user interface:1||Sparse representation:1||Dictionary learning:1||tone mapping:1||adaptive signal processing:1||Hand gesture recognition:1||HMM initialization:1||스펙트럼 패턴:1||multichannel array processing:1||Saturation:1||어뢰음향대항체계:1||relative transfer function estimation:1||Adaptive signal processing:1||Transfer function ratio:1||Receivers:1||horizontal transfer:1||molecular evolution:1||Multitasking:1||Dictionaries:1||Image restoration:1||Gated linear unit (GLU):1||Noise label:1||Segmentation mask:1||Machine learning:1||weakly supervised object localization:1||Generative adversarial network (GAN):1||Mathematical models:1||Keyword Spotting:1||Sensors:1||Magnetic Resonance Imaging (MRI):1||Light model:1||Attention:1||Conformer:1||computed topography:1||representation:1||Correlation distance measure (CDM):1||facial image:1||adversarial networks:1||remote photoplethysmography:1||previous frame:1||intelligent agents:1||bounding box region:1||underwater:1||radio frequency interference (RFI):1||least squares:1||VideoBased Inspection:1||Railway Components:1||acoustic scene classification:1||denoising autoencoder:1||color correction:1||performance evaluation:1||alphabet:1||temporalfeaturestate modelling:1||totaltrajectoryshape modelling:1||KSVD:1||videobased measurement:1||Chaos inspired motion feature:1||Von MisesFisher distribution:1||Abnormal event detection:1||Edge detection filter:1||Histogram equalization:1||environmental sound classification:1||and mobile device:1||MonteCarlo Simulation:1||몬테카를로 시뮬레이션:1||human identification:1||Generalized sidelobe canceller:1||Kernel method:1||Noise:1||dinucleotide frequency:1||perceptual filter:1||Visualization:1||Shape:1||feedback module:1||robustness:1||graph convolutional networks:1||pose information:1||knowledge distillation:1||Recurrent neural networks:1||Deep convolutional recurrent neural network (CRNN):1||feature augmentation:1||Conditional generative adversarial networks (cGANs):1||monocular facial avatar reconstruction:1||UV map:1||3DMM:1||keyword spotting:1||open set recognition:1||speech emotion recognition:1||thermal infrared (TIR):1||weighted kernel filter (WKF):1||generation:1||generative models:1||Linear programming:1||Audio tagging:1||Sound event detection:1||Cameras:1||Visibility range classification:1||Earthquake events classification:1||Convolutional Neural Network (CNN):1||Convolutional Recurrent Neural Network (CRNN):1||Wasserstein Generative Adversarial Network (WGAN):1||image enhancement:1||side scan sonar:1||Conditional random fields:1||acoustic event classification:1||deep neural network:1||acoustic feature:1||highfrequency surface wave radar:1||ship detection/tracking:1||superpixel algorithm:1||layer separation:1||vision enabled smart devices:1||handwriting style:1||visual speech recognition:1||lowlight video:1||multiclass Adaboost:1||airlight:1||프레임 에너지:1||에지 검출 필터:1||Spectral pattern:1||Contrast enhancement:1||audio and visual classification:1||TACM:1||경어뢰:1||효과도 분석:1||dual microphone arrays:1||essential genes:1||separate clustering:1||intracluster homogeneity:1||Multimodal emotion recognition:1||BERT:1||attention based multimodal:1||raw seismic waveform:1||Residual neural networks:1||recurrent inference:1||graph convolution network (GCN):1||multiple station:1||Computer vision and image processing techniques:1||Image and video coding:1||Optical, image and video signal processing:1||multilayer perceptron (MLP):1||Biological system modeling:1||Geoscience and remote sensing:1||Euclidean distance:1||Loss measurement:1||Threedimensional displays:1||Superresolution:1||Single Image SuperResolution:1||NonLocal Attention:1||Seismic waves:1||Signal processing algorithms:1||Accuracy:1||Audio classification:1||image synthesis:1||spatiotemporal representation:1||GAN (Generative adversarial networks):1||Gated Linear Unit (GLU):1||Compressive sensing:1||multimodal fusion network:1||visible&#8211:1||Recurrent Neural Network (RNN):1||acoustic signal:1||selfattention:1||CNN:1||Seismic classification:1||fieldofview:1||structural sparsity:1||interference suppression:1||acoustic beamforming:1||Human robot interaction:1||Feature descriptor illumination change:1||Compact highfrequency radar:1||User interface:1||key frame extraction:1||content change:1||적응필터:1||Subspace classifier:1||Convolutional codes:1||Noise loss:1||semantic image synthesis:1||Iterative algorithms:1||side scan sonar (SSS):1||Decoding:1||Skeletons:1||Weather map retrieval:1||Neural architecture search:1||Complexity theory:1||Network architecture:1||weakly supervised video anomaly detection:1||multiple instance learning:1||face reenactment:1||Label distribution learning (LDL):1||synthetictoreal:1||Internet:1||Temporal jigsaw:1||

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