|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Daniel’s Adventures in Computer Vision Land
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.
This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
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.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsCentre for Family Research Computer Laboratory Digital Technology Group (DTG) Meetings Cancer Metabolism Interest Group Seminars
Other talksComparing site occupancy calculations with experimental observations Illuminating the microanatomical positioning and function of dendritic cells in vivo The imprint of Southern Ocean overturning on seasonal water mass variability in Drake Passage and the Southern Ocean The application of compressed sensing for longitudinal MRI “How does natural selection shape development?” Cambridge Tribology Course - Friction, wear and lubrication