Guillaume Charpiat

Documents

Publications

	Deep convolutional and conditional neural networks for large-scale genomic data generation Burak Yelmen , Aurélien Decelle , Leila Lea Boulos , Antoine Szatkownik , Cyril Furtlehner PLoS Computational Biology, 2023, 19 (10), pp.e1011584. ⟨10.1101/2023.03.07.530442⟩ Article dans une revue hal-04244818v1
	dnadna: a deep learning framework for population genetics inference Théophile Sanchez , Erik Madison Bray , Pierre Jobic , Jérémy Guez , Anne-Catherine Letournel Bioinformatics, 2023, 39 (1), ⟨10.1093/bioinformatics/btac765⟩ Article dans une revue hal-03352910v4
	Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Christina Kumler Bonfanti , Balázs Kégl Frontiers in Big Data, 2020, 3, pp.1. ⟨10.3389/fdata.2020.00001⟩ Article dans une revue hal-02329437v2
	Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation Théophile Sanchez , Jean Cury , Guillaume Charpiat , Flora Jay Molecular Ecology Resources, 2020, ⟨10.1111/1755-0998.13224⟩ Article dans une revue hal-02942328v1
	High-Resolution Semantic Labeling with Convolutional Neural Networks Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017 Article dans une revue hal-01393279v1
	Recurrent Neural Networks to Correct Satellite Image Classification Maps Emmanuel Maggiori , Guillaume Charpiat , Yuliya Tarabalka , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (9), pp.4962-4971. ⟨10.1109/TGRS.2017.2697453⟩ Article dans une revue hal-01660764v1
	Online recognition of daily activities by color-depth sensing and knowledge models Carlos F Crispim-Junior , Alvaro Gómez Uría , Carola Strumia , Michal Koperski , Alexandra Konig Sensors, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩ Article dans une revue hal-01658438v1
	Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE Transactions on Geoscience and Remote Sensing, 2017, 55, pp.645-657. ⟨10.1109/tgrs.2016.2612821⟩ Article dans une revue hal-01369906v1
	Piecewise rigid curve deformation via a Finsler steepest descent Guillaume Charpiat , Giacomo Nardi , Gabriel Peyré , François-Xavier Vialard Interfaces and Free Boundaries : Mathematical Analysis, Computation and Applications, 2015, 18, pp.1-44. ⟨10.4171/ifb/355⟩ Article dans une revue hal-00849885v2
	Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint Yuliya Tarabalka , Guillaume Charpiat , Ludovic Brucker , Bjoern Menze IEEE Transactions on Image Processing, 2014, 23 (9), pp.3829-3840 Article dans une revue hal-01052543v1
	Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations Yuliya Tarabalka , Guillaume Charpiat IEEE Earthzine, 2013 Article dans une revue hal-00915245v1
	Multiple Birth and Cut Algorithm for Multiple Object Detection Ahmed Gamal Eldin , Xavier Descombes , Guillaume Charpiat , Josiane Zerubia Journal of Multimedia Processing and Technologies, 2012 Article dans une revue hal-00616371v1
	Colorisation automatique d'images Guillaume Charpiat Interstices, 2010 Article dans une revue inria-00474683v1
	Generalized Gradients: Priors on Minimization Flows Guillaume Charpiat , Pierre Maurel , Jean-Philippe Pons , Renaud Keriven , Olivier Faugeras International Journal of Computer Vision, 2007, 73, pp.325 - 344. ⟨10.1007/s11263-006-9966-2⟩ Article dans une revue hal-01117529v1

	End-to-end learning of dynamical systems with the Mori-Zwanzig formalism Thibault Monsel , Lionel Mathelin , Onofrio Semeraro , Guillaume Charpiat CSE 2023 - SIAM Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands Communication dans un congrès hal-04406551v1
	Towards creating longer genetic sequences with GANs: Generation in principal component space Antoine Szatkownik , Cyril Furtlehner , Guillaume Charpiat , Burak Yelmen , Flora Jay MLCB 2023 - 18th Conference on Machine Learning in Computational Biology, Nov 2023, Seattle, United States Communication dans un congrès hal-04419057v1
	DS-GPS : A Deep Statistical Graph Poisson Solver Matthieu Nastorg , Marc Schoenauer , Guillaume Charpiat , Thibault Faney , Jean-Marc Gratien NeurIPS 2022 - Machine Learning and the Physical Sciences, workshop, Dec 2022, New-Orleans, United States Communication dans un congrès hal-03864015v1
	Partitionnement en régions linéaires pour la vérification formelle de réseaux de neurones Julien Girard-Satabin , Aymeric Varasse , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer Journées Francophones des Langages Applicatifs, Apr 2021, Saint Médard d’Excideuil, France Communication dans un congrès hal-03127853v1
	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators Julien Girard-Satabin , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer ECAI 2020 - 24th European Conference on Artificial Intelligence, Jun 2020, Santiago de Compostela, Spain Communication dans un congrès hal-02440520v1
	Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation Andrew Khalel , Onur Tasar , Guillaume Charpiat , Yuliya Tarabalka IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.4869-4872, ⟨10.1109/IGARSS.2019.8899851⟩ Communication dans un congrès hal-02276549v1
	Input Similarity from the Neural Network Perspective Guillaume Charpiat , Nicolas Girard , Loris Felardos , Yuliya Tarabalka NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02394647v1
	Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data Nicolas Girard , Guillaume Charpiat , Yuliya Tarabalka IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.10103-10106, ⟨10.1109/IGARSS.2019.8898071⟩ Communication dans un congrès hal-02065211v1
	Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Balázs Kégl , Claire Monteleoni Climate Informatics Workshop Proceedings 2018, Sep 2018, Boulder, United States. pp.69-72 Communication dans un congrès hal-01851001v1
	Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing Armand Zampieri , Guillaume Charpiat , Nicolas Girard , Yuliya Tarabalka European Conference on Computer Vision (ECCV), Sep 2018, Munich, Germany. pp.679-696 Communication dans un congrès hal-01849389v1
	Optimizing deep video representation to match brain activity Hugo Richard , Ana Pinho , Bertrand Thirion , Guillaume Charpiat CCN 2018 - Conference on Cognitive Computational Neuroscience, Sep 2018, Philadelphia, United States Communication dans un congrès hal-01868735v1
	Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets Sophie Giffard-Roisin , Mo Yang , Guillaume Charpiat , Balázs Kégl , Claire Monteleoni Modeling and decision-making in the spatiotemporal domain NIPS workhop, Dec 2018, Montréal, Canada Communication dans un congrès hal-01905408v1
	Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning Nicolas Girard , Guillaume Charpiat , Yuliya Tarabalka Asian Conference on Computer Vision (ACCV), Dec 2018, Perth, Australia Communication dans un congrès hal-01923568v1
	The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast Sophie Giffard-Roisin , David Gagne , Alexandre Boucaud , Balázs Kégl , Mo Yang 8th International Workshop on Climate Informatics, Sep 2018, Boulder, CO, United States. pp.4 Communication dans un congrès hal-01924336v1
	SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference Théophile Sanchez , Guillaume Charpiat , Flora Jay Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France Communication dans un congrès hal-01679385v1
	Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2017, Fort Worth, United States Communication dans un congrès hal-01468452v1
	High-resolution image classification with convolutional networks Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2017, Jul 2017, Fort Worth, United States Communication dans un congrès hal-01660754v1
	Polygonization of Remote Sensing Classification Maps by Mesh Approximation Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez ICIP 2017 - IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.5 Communication dans un congrès hal-01530460v1
	Fully Convolutional Neural Networks For Remote Sensing Image Classification Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat , Pierre Alliez IEEE International Geoscience and Remote Sensing Symposium, IEEE GRSS, Jul 2016, Beijing, China. pp.5071-5074 Communication dans un congrès hal-01350706v1
	Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat 2015 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2015, IEEE, Jul 2015, Milan, Italy Communication dans un congrès hal-01182772v1
	Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat 26th British Machine Vision Conference, Sep 2015, Swansea, United Kingdom Communication dans un congrès hal-01182776v1
	A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR Sequences Esther Alberts , Guillaume Charpiat , Yuliya Tarabalka , Thomas Huber , Marc-André Weber MICCAI Brain Lesion Workshop, Oct 2015, Munich, Germany Communication dans un congrès hal-01205916v1
	Multiple Object Tracking by Efficient Graph Partitioning Ratnesh Kumar , Guillaume Charpiat , Monique Thonnat ACCV - 12th Asian Conference on Computer Vision, Michael S. Brown and Tat-Jen Cham and Yasuyuki Matsushita, Nov 2014, Singapore, Singapore Communication dans un congrès hal-01061450v1
	Hierarchical Representation of Videos with Spatio-Temporal Fibers Ratnesh Kumar , Guillaume Charpiat , Monique Thonnat IEEE Winter Conference on Applications of Computer Vision, Mar 2014, Colorado, United States Communication dans un congrès hal-00911012v1
	An efficient optimizer for simple point process models Ahmed Gamal Eldin , Guillaume Charpiat , Xavier Descombes , Josiane Zerubia SPIE, Computational Imaging XI, Feb 2013, Burlingame, California, United States. ⟨10.1117/12.2009238⟩ Communication dans un congrès hal-00801448v1
	A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations Yuliya Tarabalka , Guillaume Charpiat IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia Communication dans un congrès hal-00845691v1
	Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation Yuliya Tarabalka , Guillaume Charpiat , Ludovic Brucker , Bjoern H. Menze BMVC - British Machine Vision Conference, Sep 2013, Bristol, United Kingdom Communication dans un congrès hal-00856634v1
	Learning to Match Appearances by Correlations in a Covariance Metric Space Slawomir Bak , Guillaume Charpiat , Etienne Corvee , Francois Bremond , Monique Thonnat 12th European Conference on Computer Vision, Oct 2012, Florence, Italy. pp.806-820, ⟨10.1007/978-3-642-33712-3_58⟩ Communication dans un congrès hal-00731792v1
	A Cognitive Vision System for Nuclear Fusion Device Monitoring Vincent Martin , Victor Moncada , Jean-Marcel Travere , Thierry Loarer , François Bremond 8th International Conference, ICVS 2011, Sep 2011, Sophia Antipolis, France. pp.163-172 Communication dans un congrès hal-00609876v1
	A fast multiple birth and cut algorithm using belief propagation Ahmed Gamal Eldin , Xavier Descombes , Guillaume Charpiat , Josiane Zerubia ICIP 2011 (International Conference on Image Processing), Sep 2011, Bruxelles, Belgium Communication dans un congrès inria-00592446v1
	Exhaustive Family of Energies Minimizable Exactly by a Graph Cut Guillaume Charpiat Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States Communication dans un congrès inria-00616370v1
	Converting Level Set Gradients to Shape Gradients Siqi Chen , Guillaume Charpiat , Richard J. Radke 11th European Conference on Computer Vision, Sep 2010, Hersonissos, Greece Communication dans un congrès inria-00497222v1
	Learning Shape Metrics based on Deformations and Transport Guillaume Charpiat Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan Communication dans un congrès inria-00481535v1
	Automatic Image Colorization via Multimodal Predictions Guillaume Charpiat , Matthias Hofmann , Bernhard Schölkopf European Conference on Computer Vision, Sep 2008, Marseille, France Communication dans un congrès inria-00481552v1
	Distance-Based Shape Statistics Guillaume Charpiat , Pierre Maurel , Olivier Faugeras , Renaud Keriven 31st International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp.V925-V928, ⟨10.1109/ICASSP.2006.1661428⟩ Communication dans un congrès inria-00608087v1

	End-to-End Deep Learning Approach for Demographic History Inference Théophile Sanchez , Guillaume Charpiat , Flora Jay Human Evolution: Fossils, Ancient and Modern Genomes 2017, Nov 2017, Hinxton, Cambridge, United Kingdom Poster de conférence hal-01823543v1

	Machine Learning Methods for Automatic Image Colorization Guillaume Charpiat , Ilja Bezrukov , Yasemin Altun , Matthias Hofmann , Bernhard Schölkopf R. Lukac Editor. Computational Photography: Methods and Applications, CRC Press, 2011 Chapitre d'ouvrage inria-00481561v1
	Kernel methods in medical imaging Guillaume Charpiat , Matthias Hofmann , Bernhard Schölkopf Paragios, N. and J. Duncan and N. Ayache. Handbook of Biomedical Imaging, Springer, 2010 Chapitre d'ouvrage inria-00481569v1
	Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics Guillaume Charpiat , Olivier Faugeras , Renaud Keriven , Pierre Maurel Krim, Hamid and Yezzi, Anthony. Statistics and Analysis of Shapes, Birkhäuser, pp.363--395, 2006, 978-0-8176-4481-9. ⟨10.1007/0-8176-4481-4_15⟩ Chapitre d'ouvrage hal-01117516v1

	An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg , Michele Alessandro Bucci , Thibault Faney , Jean-Marc Gratien , Guillaume Charpiat 2024 Pré-publication, Document de travail hal-03970501v3
	Multi-Level GNN Preconditioner for Solving Large Scale Problems Matthieu Nastorg , Jean-Marc Gratien , Thibault Faney , Michele Alessandro Bucci , Guillaume Charpiat 2024 Pré-publication, Document de travail hal-04447099v1
	Neural State-Dependent Delay Differential Equations Thibault Monsel , Onofrio Semeraro , Lionel Mathelin , Guillaume Charpiat 2023 Pré-publication, Document de travail hal-04125875v2
	Designing losses for data-free training of normalizing flows on Boltzmann distributions Loris Felardos , Jérôme Hénin , Guillaume Charpiat 2023 Pré-publication, Document de travail hal-03936982v1
	Docent: A content-based recommendation system to discover contemporary art Antoine Fosset , Mohamed El-Mennaoui , Amine Rebei , Paul Calligaro , Elise Farge Di Maria 2022 Pré-publication, Document de travail hal-04415857v1
	Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations Tamon Nakano , Michele Alessandro Bucci , Jean-Marc Gratien , Thibault Faney , Guillaume Charpiat 2022 Pré-publication, Document de travail hal-03721729v1
	SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations Francesco Saverio Pezzicoli , Guillaume Charpiat , François P. Landes 2022 Pré-publication, Document de travail hal-03868206v2
	DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification Julien Girard-Satabin , Aymeric Varasse , Marc Schoenauer , Guillaume Charpiat , Zakaria Chihani 2021 Pré-publication, Document de travail hal-03227439v1
	Interpreting a Penalty as the Influence of a Bayesian Prior Pierre Wolinski , Guillaume Charpiat , Yann Ollivier 2020 Pré-publication, Document de travail hal-02466702v1
	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators Julien Girard-Satabin , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer 2019 Pré-publication, Document de travail hal-02374956v1
	Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing Armand Zampieri , Guillaume Charpiat , Yuliya Tarabalka 2018 Pré-publication, Document de travail hal-01718263v1
	Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps Emmanuel Maggiori , Guillaume Charpiat , Yuliya Tarabalka , Pierre Alliez 2016 Pré-publication, Document de travail hal-01388551v1
	Training recurrent networks online without backtracking Yann Ollivier , Guillaume Charpiat 2015 Pré-publication, Document de travail hal-01228954v1

	Multi-label segmentation of images with partition trees Emmanuel Maggiori , Yuliya Tarabalka , Guillaume Charpiat [Research Report] Inria Sophia Antipolis. 2014 Rapport hal-01084166v1
	Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function Olivier Faugeras , Geoffray Adde , Guillaume Charpiat , Christophe Chefd'Hotel , Maureen Clerc RR-5202, INRIA. 2004, pp.22 Rapport inria-00070790v1
	Approximations of shape metrics and application to shape warping and empirical shape statistics Guillaume Charpiat , Olivier Faugeras , Renaud Keriven RR-4820, INRIA. 2003 Rapport inria-00071766v1

	Distance-based shape statistics for image segmentation with priors Guillaume Charpiat Human-Computer Interaction [cs.HC]. Ecole Polytechnique X, 2006. English. ⟨NNT : ⟩ Thèse tel-00457462v1

Guillaume Charpiat

Publications

Deep convolutional and conditional neural networks for large-scale genomic data generation

dnadna: a deep learning framework for population genetics inference

Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data

Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation

High-Resolution Semantic Labeling with Convolutional Neural Networks

Recurrent Neural Networks to Correct Satellite Image Classification Maps

Online recognition of daily activities by color-depth sensing and knowledge models

Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification

Piecewise rigid curve deformation via a Finsler steepest descent

Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint

Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations

Multiple Birth and Cut Algorithm for Multiple Object Detection

Colorisation automatique d'images

Generalized Gradients: Priors on Minimization Flows

End-to-end learning of dynamical systems with the Mori-Zwanzig formalism

Towards creating longer genetic sequences with GANs: Generation in principal component space

DS-GPS : A Deep Statistical Graph Poisson Solver

Partitionnement en régions linéaires pour la vérification formelle de réseaux de neurones

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation

Input Similarity from the Neural Network Perspective

Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data

Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data

Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing

Optimizing deep video representation to match brain activity

Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets

Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning

The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast

SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference

Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark

High-resolution image classification with convolutional networks

Polygonization of Remote Sensing Classification Maps by Mesh Approximation

Fully Convolutional Neural Networks For Remote Sensing Image Classification

Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images

Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior

A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR Sequences

Multiple Object Tracking by Efficient Graph Partitioning

Hierarchical Representation of Videos with Spatio-Temporal Fibers

An efficient optimizer for simple point process models

A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations

Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation

Learning to Match Appearances by Correlations in a Covariance Metric Space

A Cognitive Vision System for Nuclear Fusion Device Monitoring

A fast multiple birth and cut algorithm using belief propagation

Exhaustive Family of Energies Minimizable Exactly by a Graph Cut

Converting Level Set Gradients to Shape Gradients

Learning Shape Metrics based on Deformations and Transport

Automatic Image Colorization via Multimodal Predictions

Distance-Based Shape Statistics

End-to-End Deep Learning Approach for Demographic History Inference

Machine Learning Methods for Automatic Image Colorization

Kernel methods in medical imaging

Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics

An Implicit GNN Solver for Poisson-like problems

Multi-Level GNN Preconditioner for Solving Large Scale Problems

Neural State-Dependent Delay Differential Equations

Designing losses for data-free training of normalizing flows on Boltzmann distributions

Docent: A content-based recommendation system to discover contemporary art

Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations

SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations

DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification

Interpreting a Penalty as the Influence of a Bayesian Prior

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing

Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps

Training recurrent networks online without backtracking

Multi-label segmentation of images with partition trees

Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function

Approximations of shape metrics and application to shape warping and empirical shape statistics

Distance-based shape statistics for image segmentation with priors