229 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IRT M2PFR9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Laboratoire de Mécanique et Génie CivilFR6 papers
- Université Montpellier 26 papers
- Institut de Mathématiques de ToulouseFR5 papers
- Institut Polytechnique de BordeauxFR5 papers
- Université de MontpellierFR5 papers
- Université Toulouse III - Paul SabatierFR5 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR4 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR4 papers
- Université Paris-SaclayFR4 papers
9 papers · 1 filter
Towards a collaborative digital platform for railway infrastructure projects
Pierre Jehel, Pierre-Étienne Gautier, Judicaël Dehotin +1
The management of railway infrastructure projects can be supported by collaborative digital platforms. A survey was carried out to identify the needs and expectations of the variou…
Fast and Flexible Robustness Certificates for Semantic Segmentation
Thomas Massena, Corentin Friedrich, Franck Mamalet +1
Deep Neural Networks are vulnerable to small perturbations that can drastically alter their predictions for perceptually unchanged inputs. The literature on adversarially robust De…
FusWay: Multimodal hybrid fusion approach. Application to Railway Defect Detection
Alexey Zhukov, Jenny Benois-Pineau, Amira Youssef +3
Multimodal fusion is a multimedia technique that has become popular in the wide range of tasks where image information is accompanied by a signal/audio. The latter may not convey h…
Fast 3D Diffusion for Scalable Granular Media Synthesis
Muhammad Moeeze Hassan, Régis Cottereau, Filippo Gatti +1
Discrete Element Method (DEM) simulations of granular media are computationally intensive, particularly during initialization phases dominated by large displacements and kinetic en…
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo andéol, Thibaut Boissin +4
Conformal Prediction (CP) has proven to be an effective post-hoc method for improving the trustworthiness of neural networks by providing prediction sets with finite-sample guarant…
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
Alya Zouzou, Léo andéol, Mélanie Ducoffe +1
We explore the use of conformal prediction to provide statistical uncertainty guarantees for runway detection in vision-based landing systems (VLS). Using fine-tuned YOLOv5 and YOL…
Conformal Object Detection by Sequential Risk Control
Léo andéol, Luca Mossina, Adrien Mazoyer +1
Recent advances in object detectors have led to their adoption for industrial uses. However, their deployment in safety-critical applications is hindered by the inherent lack of re…
Improving knowledge of the acoustic factors involved in railway noise annoyance: first results of a pilot field survey of sixty-two local residents
Matthieu Sineau, Manuel Hellot, Robin Mafféïs +4
Railway transportation contributes to the objectives of decarbonization but also generates negative externalities, including noise. Energy noise indicators used to characterize pop…
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
Thibaut Boissin, Franck Mamalet, Thomas Fel +3
Orthogonal convolutional layers are valuable components in multiple areas of machine learning, such as adversarial robustness, normalizing flows, GANs, and Lipschitz-constrained mo…