b'ONERA'

research

∙ 07/30/2021

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport

Good quality reconstruction and comprehension of a scene rely on 3D esti...

Rémy Leroy, et al. ∙

research

∙ 04/24/2019

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

In recent years, deep learning techniques revolutionized the way remote ...

Nicolas Audebert, et al. ∙

research

∙ 11/23/2017

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

In this work, we investigate various methods to deal with semantic label...

Nicolas Audebert, et al. ∙

research

∙ 01/20/2017

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)

In this work, we present a novel module to perform fusion of heterogeneo...

Nicolas Audebert, et al. ∙

research

∙ 08/23/2017

Generating Visual Representations for Zero-Shot Classification

This paper addresses the task of learning an image clas-sifier when some...

Maxime Bucher, et al. ∙

research

∙ 02/08/2016

Adaptive imputation of missing values for incomplete pattern classification

In classification of incomplete pattern, the missing values can either p...

Zhun-Ga Liu, et al. ∙

research

∙ 05/10/2013

Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Parameter tuning is recognized today as a crucial ingredient when tackli...

Mostepha Redouane Khouadjia, et al. ∙

research

∙ 05/06/2013

Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches

Most real-world Planning problems are multi-objective, trying to minimiz...

Mostepha Redouane Khouadjia, et al. ∙

research

∙ 12/20/2012

Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark

All standard AI planners to-date can only handle a single objective, and...

Mostepha Redouane Khouadjia, et al. ∙

research

∙ 05/06/2010

A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

Mountain river torrents and snow avalanches generate human and material ...

Jean-Marc Tacnet, et al. ∙

research

∙ 06/28/2009

General combination rules for qualitative and quantitative beliefs

Martin and Osswald Martin07 have recently proposed many generalizations ...

Arnaud Martin, et al. ∙

research

∙ 11/24/2017

Sparse and Low-Rank Decomposition for Automatic Target Detection in Hyperspectral Imagery

Given a target prior information, our goal is to propose a method for au...

Ahmad W. Bitar, et al. ∙

research

∙ 04/18/2019

Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty

At the initial design stage engineers often rely on low-fidelity models ...

Nathaniel B. Price, et al. ∙

research

∙ 05/07/2019

Bayesian Optimization using Deep Gaussian Processes

Bayesian Optimization using Gaussian Processes is a popular approach to ...

Ali Hebbal, et al. ∙

research

∙ 06/15/2019

Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle

In this paper we address the problem of dot painting on a wall by a quad...

Thomas Chaffre, et al. ∙

research

∙ 04/17/2015

Hyperspectral pansharpening: a review

Pansharpening aims at fusing a panchromatic image with a multispectral o...

Laetitia Loncan, et al. ∙

research

∙ 01/13/2020

Fixed Points of the Set-Based Bellman Operator

Motivated by uncertain parameters encountered in Markov decision process...

Sarah H. Q. Li, et al. ∙

research

∙ 01/22/2020

Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games

Motivated by uncertain parameters encountered in Markov decision process...

Sarah H. Q. Li, et al. ∙

research

∙ 01/30/2020

Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method

In this paper, we present an extension to an air traffic conflicts resol...

Thomas Chaboud, et al. ∙

research

∙ 04/15/2020

ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos

Summarizing video content is an important task in many applications. Thi...

Guillaume Vaudaux-Ruth, et al. ∙

research

∙ 04/30/2020

Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation

Transferring learning-based models to the real world remains one of the ...

Thomas Chaffre, et al. ∙

research

∙ 05/06/2020

Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods

Several nonlinear model reduction techniques are compared for the three ...

Denis Sipp, et al. ∙

research

∙ 05/17/2020

Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus

Time-Sensitive Networking (TSN) is a set of amendments that extend Ether...

Luxi Zhao, et al. ∙

research

∙ 06/12/2020

An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design

The multi-level, multi-disciplinary and multi-fidelity optimization fram...

Rémy Priem, et al. ∙

research

∙ 07/10/2020

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation

We present a new lightweight CNN-based algorithm for multi-frame optical...

Pierre Godet, et al. ∙

research

∙ 02/08/2021

OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

Many applications of Visual SLAM, such as augmented reality, virtual rea...

Maxime Ferrera, et al. ∙

research

∙ 08/30/2021

Constructive interpolation points selection in the Loewner framework

This note describes a constructive heuristic to select frequencies of in...

Pierre Vuillemin, et al. ∙

research

∙ 02/07/2022

Evaluation of Runtime Monitoring for UAV Emergency Landing

To certify UAV operations in populated areas, risk mitigation strategies...

Joris Guérin, et al. ∙

research

∙ 02/25/2022

Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling

Reliability-oriented sensitivity analysis aims at combining both reliabi...

Julien Demange-Chryst, et al. ∙

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