Jérôme Rony

According to our database, Jérôme Rony authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Proximal Splitting Adversarial Attack for Semantic Segmentation.

Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class Adaptive Network Calibration.

Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

IEEE Trans. Medical Imaging, 2022

Proximal Splitting Adversarial Attacks for Semantic Segmentation.

Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

CoRR, 2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2022

2021

Mutual-Information Based Few-Shot Classification.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

CoRR, 2021

Augmented Lagrangian Adversarial Attacks.

Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Transductive Information Maximization For Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Metric learning: cross-entropy vs. pairwise losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Information Maximization for Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.

Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Universal Adversarial Audio Perturbations.

Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich

CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu

CoRR, 2018