CAU Scholar's Space: Kwon, Junseok

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Kwon, Junseok (권준석)

소프트웨어대학 (소프트웨어학부)

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Tel 02-820-5914
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Visual tracking:9||object tracking:6||Object tracking:6||target tracking:4||object detection:4||Dehazing:4||Feature extraction:3||image enhancement:3||Deep learning:2||video signal processing:2||Visual Tracking:2||Generative adversarial network:2||probability distribution:2||visual tracking:2||Generative adversarial networks:2||likelihood landscape analysis:2||Monte Carlo methods:2||Background subtraction:2||Graph convolution:2||abrupt motion:2||Task analysis:2||Computer vision:2||Training:2||Transformer:2||Transforms:2||Markov Chain Monte Carlo:2||Markov chain Monte Carlo:2||Neural networks:2||Estimation:1||Event summarization:1||Filter removal:1||Fully connected crossentropy Monte Carlo:1||Fully convolutional network:1||Gallium nitride:1||Gaussian distribution:1||Generators:1||Ground plane:1||Ground plane estimation:1||HSMM:1||Halton sequence:1||Hijacking handling:1||Image edge detection:1||Image enhancement:1||Image matching:1||Image synthesis:1||Instagram filter:1||Intrinsic image:1||Iterative nearest neighbors:1||KCFbased trackers:1||Kernel:1||Kernelized correlation filter:1||Knowledge engineering:1||Landau Monte Carlo:1||Largescale Vision Applications Object Detection/Recognition/Categorization:1||Lighting:1||Linear decomposition:1||Linear epitope:1||Linear programming:1||LogEuclidean metric learning:1||MCMC:1||Manifolds:1||Markov network:1||Measurement:1||Meta Learning:1||Minibatch Monte Carlo:1||Mixture models:1||Multiobject tracker:1||Multishape posterior:1||Multiview depth estimation:1||Nfold way:1||Network architecture:1||Noise measurement:1||Noise robustness:1||Noiseinjected Markov chain Monte Carlo:1||NonPhotorealistic rendering (NPR):1||Nonnested sampling:1||Nonrigid tracking:1||Object Tracking:1||Object proposal:1||Occlusion handling:1||Optimal transport:1||Overlapping domain decomposition:1||Particle swarm optimization:1||Person reidentification:1||Pixel correspondences:1||Plane sweep algorithm:1||Point cloud compression:1||Pose estimation:1||Principal component analysis:1||Probabilistic logic:1||Probabilistic model:1||Probability distribution:1||Process control:1||Progressive sampling:1||Protein secondary structure:1||RGB space:1||Rareevent detection:1||Reinforcement learning:1||Relative depthwise separable convolutions:1||Reliability:1||Reverse style transfer:1||Riemannian submanifold:1||Rotation equivariance:1||Saliency detection:1||Sampling method based on regular polyhedrons:1||Selfdistillation:1||Sensors:1||Small object segmentation:1||Softmax attention channel pruning:1||Spherical transformer:1||Stagemix video:1||State space switch:1||Stochastic instance normalization:1||Style transfer:1||Subgraph sampling method:1||Symmetric positive definite manifolds:1||Target tracking:1||Tensors:1||Threedimensional displays:1||Triplet dimensionality reduction loss:1||Uncertainty calibrated Markov Chain Monte Carlo:1||Upright adjustment:1||Variation matching:1||Variational autoencoding:1||Video preprocessing:1||Visualization:1||Wang&#8211:1||WangLandau Monte Carlo:1||WangLandau method:1||Wasserstein space:1||adaptive initial configuration:1||adaptive model update:1||background pixels:1||background subtraction:1||basketball game videos:1||bounding box modification:1||conditional image generation:1||conditional transformation:1||conventional LL analysis:1||correlation methods:1||data augmentation:1||deep learning:1||deep learning optimization:1||deeplearning:1||densityofstates:1||distance measurement:1||filtering theory:1||generative adversarial network:1||generative adversarial networks:1||geometric moment matching:1||hidden Markov models:1||hidden semiMarkov model:1||hierarchical graph convolution:1||high likelihood value:1||hijacking handling:1||image classification:1||image colour analysis:1||image motion analysis:1||image representation:1||image resolution:1||image sampling:1||integral probability metric:1||interacting Markov Chain Monte Carlo:1||kernelised correlation filterbased tracker:1||largescale 3D point cloud place recognition:1||learning (artificial intelligence):1||local patchbased appearance model:1||lowlight enhancement.:1||lower and upper bounds of likelihood:1||minibatch Monte Carlo sampling:1||minimum uncertainty gap:1||motion model:1||multitarget tracking:1||noisy bounding box representation:1||nonrigid object:1||object proposal:1||object proposal voting:1||object redetection:1||observed trajectories:1||occlusion handling:1||orthogonal object proposal:1||orthogonal planes:1||particle Markov chain Monte Carlo (Particle MCMC):1||pixelwise posterior estimation:1||pixelwise visual tracking:1||pooling and fusing edges:1||rare event detection:1||reinforcement learning:1||residual smoothing:1||riemannian manifolds:1||robust visual tracking:1||satellite image:1||severe appearance change:1||simulated trajectories:1||sport:1||synthetic trajectories:1||temporalhorizontal planes:1||temporalvertical planes:1||tracking accuracy:1||tracking system:1||traditional visual tracking methods:1||trajectory simulation:1||transformer:1||unmanned aerial vehicles:1||verticalhorizontal plane:1||video:1||video structure editing:1||video structure learning:1||video structure matching:1||visual tracker:1||visual tracker sampler:1||visual tracking benchmark data:1||visual tracking decomposition:1||visual tracking enhancement:1||visual tracking performance:1||visual tracking performance evaluation:1||wasserstein autoencoder:1||2D Convolution:1||zerovariance minibatch Monte Carlo:1||3D point cloud harvesting:1||Abnormal event detection:1||Adaptive regularization:1||Adaptive template update:1||Adversarial Attack:1||Antibody:1||Approximate Bayesian computation:1||Atmospheric modeling:1||Backpropagation:1||Basin Hopping Sampling:1||Bidirected graph convolution:1||Bootstrapping:1||Channel estimation:1||Computational biology:1||Computational efficiency:1||Conditional uncertainty minimization:1||Continual Learning:1||Corrupted images:1||Data augmentation:1||Data mining:1||Dataset construction:1||Deraining:1||Detection:1||Directed graphs:1||Discrete Ricci curvature:1||Dog noseprint identification:1||Endtoend metric learning:1||

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84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194

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