Andrea Vedaldi, Ph.D.
Affiliations: | 2008 | University of California, Los Angeles, Los Angeles, CA |
Area:
Computer vision, machine learning, roboticsGoogle:
"Andrea Vedaldi"Cross-listing: E-Tree
Parents
Sign in to add mentor| Stefano Soatto | grad student | 2008 | UCLA | |
| (Invariant representations and learning for computer vision.) | ||||
Children
Sign in to add trainee| Samuel Albanie | grad student | (E-Tree) | |
| Fatma Güney | post-doc | Oxford (Computer Science Tree) | |
| Han Peng | post-doc | Oxford (Physics Tree) |
BETA: Related publications
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Publications
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| Choudhury S, Laina I, Rupprecht C, et al. (2023) The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. International Journal of Computer Vision. 132: 537-554 |
| 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 |
| Wu S, Rupprecht C, Vedaldi A. (2021) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Peng H, Gong W, Beckmann CF, et al. (2020) Accurate brain age prediction with lightweight deep neural networks. Medical Image Analysis. 68: 101871 |
| Ulyanov D, Vedaldi A, Lempitsky V. (2020) Deep Image Prior International Journal of Computer Vision. 128: 1867-1888 |
| Lenc K, Vedaldi A. (2019) Understanding Image Representations by Measuring Their Equivariance and Equivalence. International Journal of Computer Vision. 127: 456-476 |
| Balntas V, Lenc K, Vedaldi A, et al. (2019) HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Ehrhardt S, Monszpart A, Mitra NJ, et al. (2019) Taking visual motion prediction to new heightfields Computer Vision and Image Understanding. 181: 14-25 |
| Novotny D, Larlus D, Vedaldi A. (2018) Capturing the Geometry of Object Categories from Video Supervision. Ieee Transactions On Pattern Analysis and Machine Intelligence |