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02/07/2023
Ethical Considerations for Collecting Human-Centric Image Datasets
Human-centric image datasets are critical to the development of computer...
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08/30/2022
Robustness and invariance properties of image classifiers
Deep neural networks have achieved impressive results in many image clas...
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03/08/2022
Data augmentation with mixtures of max-entropy transformations for filling-level classification
We address the problem of distribution shifts in test-time data with a p...
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12/27/2021
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
Despite their impressive performance on image classification tasks, deep...
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04/29/2021
A neural anisotropic view of underspecification in deep learning
The underspecification of most machine learning pipelines means that we ...
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02/08/2021
Improving filling level classification with adversarial training
We investigate the problem of classifying - from a single image - the le...
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10/19/2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Driven by massive amounts of data and important advances in computationa...
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07/14/2020
Towards robust sensing for Autonomous Vehicles: An adversarial perspective
Autonomous Vehicles rely on accurate and robust sensor observations for ...
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06/17/2020
Neural Anisotropy Directions
In this work, we analyze the role of the network architecture in shaping...
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02/15/2020
Hold me tight! Influence of discriminative features on deep network boundaries
Important insights towards the explainability of neural networks and the...
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11/27/2019
Multi-view shape estimation of transparent containers
The 3D localisation of an object and the estimation of its properties, s...
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11/06/2018
