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Daniel’s Adventures in Computer Vision Land
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This talk presents a lively romp through a wide array of research topics I have worked on in the last few years. I’ll speak about: • image editing, including image resizing and recolouring; • algebraic topology and its (mis)uses in computer vision, particularly for segmentation; • fancy-pants features which mimic deep learning architectures; and • 3D sensing. The talk will be at a high level, in an effort to keep listeners captivated, or at least awake. Theorem proofs and autographs will be available upon request after the talk.
This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.
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