Search Results for author: Bart Goossens

Found 5 papers, 2 papers with code

Robust width: A lightweight and certifiable adversarial defense

1 code implementation24 May 2024 Jonathan Peck, Bart Goossens

Deep neural networks are vulnerable to so-called adversarial examples: inputs which are intentionally constructed to cause the model to make incorrect predictions or classifications.

Adversarial Defense

Resolution based Feature Distillation for Cross Resolution Person Re-Identification

no code implementations16 Sep 2021 Asad Munir, Chengjin Lyu, Bart Goossens, Wilfried Philips, Christian Micheloni

Most of the existing approaches resolve the re-id task as low resolution problem in which a low resolution query image is searched in a high resolution images gallery.

Image Super-Resolution Person Re-Identification

Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability

1 code implementation7 Jul 2020 Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem

Regional adversarial attacks often rely on complicated methods for generating adversarial perturbations, making it hard to compare their efficacy against well-known attacks.

Point Triangulation Through Polyhedron Collapse Using the l[?] Norm

no code implementations ICCV 2015 Simon Donne, Bart Goossens, Wilfried Philips

Multi-camera triangulation of feature points based on a minimisation of the overall L2 reprojection error can get stuck in suboptimal local minima or require slow global optimisation.

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