136 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut de Recherche en Informatique et Systèmes AléatoiresFR8 papers
- Université de Bretagne SudFR7 papers
- Université de RennesFR6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Université Rennes 2FR4 papers
- Institut Universitaire Européen de la MerFR2 papers
- Magellium (France)FR2 papers
- Technical University of MunichDE2 papers
- Association pour l'Utilisation du Rein Artificiel dans la région LyonnaiseFR1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre Inria de l'Université de LorraineFR1 paper
- Centre National d'Études SpatialesFR1 paper
16 papers
Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network
Wassim Swaileh, Florent Imbert, Yann Soullard +2
Handwriting with digital pens is a common way to facilitate human-computer interaction through the use of Online Handwriting (OH) trajectory reconstruction. In this work, we focus…
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
Mathilde Letard, Dimitri Lague, Arthur Le Guennec +5
Three-dimensional data have become increasingly present in earth observation over the last decades. However, many 3D surveys are still underexploited due to the lack of accessible…
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
François Painblanc, Laetitia Chapel, Nicolas Courty +3
While large volumes of unlabeled data are usually available, associated labels are often scarce. The unsupervised domain adaptation problem aims at exploiting labels from a source…
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
Iris de Gélis, Sudipan Saha, Muhammad Shahzad +3
Change detection from traditional \added{2D} optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud \ad…
Change detection needs change information: improving deep 3D point cloud change detection
Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre
Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urba…
A deep neural network for multi-species fish detection using multiple acoustic cameras
Guglielmo Fernandez Garcia, François Martignac, Marie Nevoux +2
Underwater acoustic cameras are high potential devices for many applications in ecology, notably for fisheries management and monitoring. However how to extract such data into high…
Time Series Alignment with Global Invariances
Titouan Vayer, Romain Tavenard, Laetitia Chapel +3
Multivariate time series are ubiquitous objects in signal processing. Measuring a distance or similarity between two such objects is of prime interest in a variety of applications,…
Early Classification for Agricultural Monitoring from Satellite Time Series
Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre +1
In this work, we introduce a recently developed early classification mechanism to satellite-based agricultural monitoring. It augments existing classification models by an addition…
Sliced Gromov-Wasserstein
Titouan Vayer, Rémi Flamary, Romain Tavenard +2
Recently used in various machine learning contexts, the Gromov-Wasserstein distance (GW) allows for comparing distributions whose supports do not necessarily lie in the same metric…
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
Titouan Vayer, Laetita Chapel, Rémi Flamary +2
Optimal transport theory has recently found many applications in machine learning thanks to its capacity for comparing various machine learning objects considered as distributions.…
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
James Large, Anthony Bagnall, Simon Malinowski +1
A family of algorithms for time series classification (TSC) involve running a sliding window across each series, discretising the window to form a word, forming a histogram of word…
Optimal Transport for structured data with application on graphs
Titouan Vayer, Laetitia Chapel, Rémi Flamary +2
This work considers the problem of computing distances between structured objects such as undirected graphs, seen as probability distributions in a specific metric space. We consid…
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
Adeline Bailly, Simon Malinowski, Romain Tavenard +2
Time series classification is an application of particular interest with the increase of data to monitor. Classical techniques for time series classification rely on point-to-point…
Dissolution on Titan and on Earth: Towards the age of Titan's karstic landscapes
Thomas Cornet, Daniel Cordier, Tangui Le Bahers +4
Titan's polar surface is dotted with hundreds of lacustrine depressions. Based on the hypothesis that they are karstic in origin, we aim at determining the efficiency of surface di…
Two-Scale numerical simulation of sand transport problems
Emmanuel Frenod, Ibrahima Faye, Diaraf Seck
In this paper we consider a model for short term dynamics of dunes in tidal area. We construct a Two-Scale Numerical Method based on the fact that the solution of the equation whic…
Techniques, advances, problems and issues in numerical modelling of landslide hazard
Theo Van Asch, Jean-Philippe Malet, Ludovicus Van Beek +1
Slope movements (e.g. landslides) are dynamic systems that are complex in time and space and closely linked to both inherited and current preparatory and triggering controls. It is…