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Andrea Vedaldi
Associate Professor
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My research focuses on computer vision methods to understand the content of images automatically, with applications to organising and searching vast image and video libraries and recognising faces and text in images and videos. I am also the leading author of the VLFeat computer vision library.
Papers205 papers
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NeurIPS, (2020)
NeurIPS, (2020)
NeurIPS, (2020)
CVPR Workshops, pp.3294-3302, (2020)
ICLR, (2020)
ICLR, (2020)
ICLR, (2020)
CVPR, pp.5232-5241, (2020)
CVPR, pp.8836-8845, (2020)
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