Computer Vision
Course description
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This course provides advanced theories and applications of computer vision and deep learning. We cover diverse studies from traditional computer vision methodologies (e.g., camera theory, feature extraction, segmentation, multiple view geometry, etc.) to recent learning-based approaches (e.g., image classification, semantic segmentation, correspondence problem, 3D vision, etc.). At the end of the semester, recent advances in these studies will be dealt with in group discussion sessions organized by the enrolled students for final presentation
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