Andrea Vedaldi, Ph.D.

Affiliations: 
2008 University of California, Los Angeles, Los Angeles, CA 
Area:
Computer vision, machine learning, robotics
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"Andrea Vedaldi"
Cross-listing: Robotree

Parents

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Stefano Soatto grad student 2008 UCLA
 (Invariant representations and learning for computer vision.)

Children

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Fatma Güney post-doc Oxford (Computer Science Tree)
Han Peng post-doc Oxford (Physics Tree)
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Publications

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Han K, Rebuffi SA, Ehrhardt S, et al. (2021) AutoNovel: Automatically Discovering and Learning Novel Visual Categories. Ieee Transactions On Pattern Analysis and Machine Intelligence
Gong W, Beckmann CF, Vedaldi A, et al. (2021) Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge. Frontiers in Psychiatry. 12: 627996
Peng H, Gong W, Beckmann CF, et al. (2020) Accurate brain age prediction with lightweight deep neural networks. Medical Image Analysis. 68: 101871
Szabo A, Vedaldi A, Favaro P. (2016) Building the View Graph of a Category by Exploiting Image Realism Proceedings of the Ieee International Conference On Computer Vision. 2016: 805-813
Cimpoi M, Maji S, Kokkinos I, et al. (2016) Deep Filter Banks for Texture Recognition, Description, and Segmentation International Journal of Computer Vision. 118: 65-94
Jaderberg M, Simonyan K, Vedaldi A, et al. (2016) Reading Text in the Wild with Convolutional Neural Networks International Journal of Computer Vision. 116: 1-20
Vedaldi A, Lenc K. (2015) MatConvNet: Convolutional neural networks for MATLAB Mm 2015 - Proceedings of the 2015 Acm Multimedia Conference. 689-692
Mahendran A, Vedaldi A. (2015) Understanding deep image representations by inverting them Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 5188-5196
Cimpoi M, Maji S, Vedaldi A. (2015) Deep filter banks for texture recognition and segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 3828-3836
Lenc K, Vedaldi A. (2015) Understanding image representations by measuring their equivariance and equivalence Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 7: 991-999
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