ScholarWorks@Sookmyung Women's University: Kang, Jiwoo

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Kang, Jiwoo (강지우)

공과대학 (인공지능공학부)

Research Area: 3차원 재구성 및 콘텐츠 모델링, 컴퓨터 그래픽스 및 컴퓨터 비전, 영상 처리 및 인공지능, 3D Reconstruction, Modeling, and Generation, Computer Grapics and Computer Vision, Image Processing and Artificial Intelligence

Tel 02-2077-7445
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Threedimensional displays:4||3D reconstruction:3||Shape:2||Solid modeling:2||convolutional neural network (CNN):2||Faces:2||deep learning:2||Semantics:2||Behavioral sciences:1||Cameras:1||Computational modeling:1||Correlation:1||Databases:1||Deep learning:1||DeepStream:1||Distortion:1||Distortion measurement:1||Double reverse diffusion:1||Dynamic scenes:1||Energybased GAN:1||Face reconstruction:1||Facial Alignment:1||Facial Tracking:1||Fewshot learning:1||Fitting:1||Gallium nitride:1||Graph diffusion:1||Graph long short term memory:1||Human modeling:1||Human motion assessment:1||Image reconstruction:1||Laban movement analysis:1||Measurement uncertainty:1||Mesh processing:1||Motion measurement:1||Multimodal analysis:1||Multimodal stimuli:1||Neural rendering:1||Novel view synthesis:1||Pipelines:1||Quality assessment:1||RGBD camera:1||RGBD sensor:1||Realtime systems:1||Reliability:1||Strain:1||Surface reconstruction:1||Surveillance:1||Temporal Stability.:1||Topology:1||Training:1||UV completion:1||Videos:1||Visualization:1||active stereo matching:1||adversarial learning:1||alarm system:1||camera synchronization:1||channel selective relation network:1||computational parameter fitting:1||continual learning:1||controllable generative model:1||crossmodal retrieval:1||disparity accuracy:1||dynamic scenes:1||egocentric images:1||face alignment:1||face displacement:1||face reconstruction:1||face tracking:1||facevoice association:1||facial expression recognition:1||facial generation:1||facial model:1||facial texture:1||feature pyramid network:1||freeform inpainting:1||headmounted camera:1||implicit representation:1||incremental reconstruction:1||infrared image:1||inversion:1||matching cost:1||mental illness:1||mesh models:1||motion effort model:1||multisensor scanning system construction:1||multiview active stereo sensors:1||multifocal information:1||multimodal matching:1||multiple object tracking:1||neural rendering:1||nonrigid deformation:1||novel view synthesis:1||object detection:1||object removal:1||occluded target:1||offtheshelf active stereo sensor:1||performance evaluation:1||plenoptic video:1||point cloud:1||projective structural similarity:1||scale sequence (S2) feature:1||selfupdatable database system:1||shape analysis:1||signed distance field:1||stabilized face alignment:1||stylebased generator:1||synchronization delay:1||temporal discrimination:1||temporal stability:1||threedimensional morphable model (3DMM):1||time scheduling:1||timestamp:1||topology robust mesh quality assessment:1||vector quantizedvariational autoencoder:1||video completion:1||videobased alignment:1||3D reconstruction:1||virtual reality (VR):1||3D face alignment:1||3D facial modeling:1||3D garment reconstruction:1||3D human pose estimation:1||3D mesh quality assessment:1||3Daware GAN:1||Abnormal behavior recognition:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

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