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Sylvestre-Alvise Rebuffi

Data Augmentation Can Improve Robustness


Nov 09, 2021
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann

* Accepted at NeurIPS 2021. arXiv admin note: substantial text overlap with arXiv:2103.01946; text overlap with arXiv:2110.09468 

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Improving Robustness using Generated Data


Oct 18, 2021
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy Mann

* Accepted at NeurIPS 2021 

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AutoNovel: Automatically Discovering and Learning Novel Visual Categories


Jun 29, 2021
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

* TPAMI 2021, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel/. arXiv admin note: substantial text overlap with arXiv:2002.05714 

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Defending Against Image Corruptions Through Adversarial Augmentations


Apr 20, 2021
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andras Gyorgy, Timothy Mann, Sven Gowal


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Fixing Data Augmentation to Improve Adversarial Robustness


Mar 02, 2021
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann


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LSD-C: Linearly Separable Deep Clusters


Jun 17, 2020
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

* Code available at https://github.com/srebuffi/lsd-clusters 

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There and Back Again: Revisiting Backpropagation Saliency Methods


Apr 06, 2020
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

* CVPR 2020 

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Automatically Discovering and Learning New Visual Categories with Ranking Statistics


Feb 13, 2020
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

* ICLR 2020, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel 

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NormGrad: Finding the Pixels that Matter for Training


Oct 19, 2019
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Hakan Bilen, Andrea Vedaldi


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Semi-Supervised Learning with Scarce Annotations


May 21, 2019
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman


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Efficient parametrization of multi-domain deep neural networks


Mar 27, 2018
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

* CVPR 2018 

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Learning multiple visual domains with residual adapters


Nov 27, 2017
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi


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iCaRL: Incremental Classifier and Representation Learning


Apr 14, 2017
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert

* Accepted paper at CVPR 2017 

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