Olivia Wiles

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University of Oxford

A Closer Look at the Adversarial Robustness of Information Bottleneck Models

We study the adversarial robustness of information bottleneck models for...
07/12/2021 ∙ by Iryna Korshunova, et al. ∙ 0 ∙ share

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Defending Against Image Corruptions Through Adversarial Augmentations

Modern neural networks excel at image classification, yet they remain vu...
04/02/2021 ∙ by Dan A. Calian, et al. ∙ 0 ∙ share

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Fixing Data Augmentation to Improve Adversarial Robustness

Adversarial training suffers from robust overfitting, a phenomenon where...
03/02/2021 ∙ by Sylvestre-Alvise Rebuffi, et al. ∙ 0 ∙ share

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D2D: Learning to find good correspondences for image matching and manipulation

We propose a new approach to determining correspondences between image p...
07/16/2020 ∙ by Olivia Wiles, et al. ∙ 10 ∙ share

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SynSin: End-to-end View Synthesis from a Single Image

Single image view synthesis allows for the generation of new views of a ...
12/18/2019 ∙ by Olivia Wiles, et al. ∙ 17 ∙ share

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Self-supervised learning of class embeddings from video

This work explores how to use self-supervised learning on videos to lear...
10/28/2019 ∙ by Olivia Wiles, et al. ∙ 41 ∙ share

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3D Surface Reconstruction by Pointillism

The objective of this work is to infer the 3D shape of an object from a ...
09/06/2018 ∙ by Olivia Wiles, et al. ∙ 0 ∙ share

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Self-supervised learning of a facial attribute embedding from video

We propose a self-supervised framework for learning facial attributes by...
08/21/2018 ∙ by Olivia Wiles, et al. ∙ 4 ∙ share

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X2Face: A network for controlling face generation by using images, audio, and pose codes

The objective of this paper is a neural network model that controls the ...
07/27/2018 ∙ by Olivia Wiles, et al. ∙ 4 ∙ share

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SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes

The objective of this paper is 3D shape understanding from single and mu...
11/21/2017 ∙ by Olivia Wiles, et al. ∙ 0 ∙ share

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Olivia Wiles

Featured Co-authors

Andrew Zisserman

András György

Justin Johnson

Georgia Gkioxari

Alexander A. Alemi

Sven Gowal

Timothy Mann

Sebastien Ehrhardt

Sylvestre-Alvise Rebuffi

David Stutz

A. Sophia Koepke

A Closer Look at the Adversarial Robustness of Information Bottleneck Models

Defending Against Image Corruptions Through Adversarial Augmentations

Fixing Data Augmentation to Improve Adversarial Robustness

D2D: Learning to find good correspondences for image matching and manipulation

SynSin: End-to-end View Synthesis from a Single Image

Self-supervised learning of class embeddings from video

3D Surface Reconstruction by Pointillism

Self-supervised learning of a facial attribute embedding from video

X2Face: A network for controlling face generation by using images, audio, and pose codes

SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes