Publications de Mathieu Salzmann

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Mathieu Salzmann

Graph Chatbot

Chattez avec Graph Search

Toward Automatic Typography Analysis: Serif Classification and Font Similarities

Detecting Road Obstacles by Erasing Them

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction

Perspective Aware Road Obstacle Detection

DrapeNet: Garment Generation and Self-Supervised Draping

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Center-aware Adversarial Augmentation for Single Domain Generalization

Detecting Road Obstacles by Erasing Them

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Toward Automatic Typography Analysis: Serif Classification and Font Similarities

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Perspective Aware Road Obstacle Detection

DrapeNet: Garment Generation and Self-Supervised Draping

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Center-aware Adversarial Augmentation for Single Domain Generalization