Publications - Guillaume Charpiat

Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Bonfanti, Balázs Kégl, et al.. Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data. Frontiers in Big Data, Frontiers, In press, 3, pp.1. ⟨10.3389/fdata.2020.00001⟩. ⟨hal-02329437v2⟩

Théophile Sanchez, Jean Cury, Guillaume Charpiat, Flora Jay. Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation. Molecular Ecology Resources, Wiley/Blackwell, 2020, ⟨10.1111/1755-0998.13224⟩. ⟨hal-02942328⟩

Carlos Fernando Crispim-Junior, Alvaro Gómez Uría, Carola Strumia, Michal Koperski, Alexandra Konig, et al.. Online recognition of daily activities by color-depth sensing and knowledge models. Sensors, MDPI, 2017, 17 (7), pp.1-15. ⟨10.3390/s17071528⟩. ⟨hal-01658438⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. High-Resolution Semantic Labeling with Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017. ⟨hal-01393279⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55, pp.645-657. ⟨10.1109/tgrs.2016.2612821⟩. ⟨hal-01369906⟩

Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez. Recurrent Neural Networks to Correct Satellite Image Classification Maps. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (9), pp.4962-4971. ⟨10.1109/TGRS.2017.2697453⟩. ⟨hal-01660764⟩

Guillaume Charpiat, Giacomo Nardi, Gabriel Peyré, François-Xavier Vialard. Piecewise rigid curve deformation via a Finsler steepest descent. Interfaces and Free Boundaries, European Mathematical Society, 2015, 18, pp.1-44. ⟨10.4171/ifb/355⟩. ⟨hal-00849885v2⟩

Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern Menze. Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, 23 (9), pp.3829-3840. ⟨hal-01052543⟩

Yuliya Tarabalka, Guillaume Charpiat. Exploiting Temporal Coherence for Fire Mapping from MODIS Spaceborne Observations. IEEE Earthzine, IEEE Committee on Earth Observation (ICEO), 2013. ⟨hal-00915245⟩

Ahmed Gamal Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia. Multiple Birth and Cut Algorithm for Multiple Object Detection. Journal of Multimedia Processing and Technologies, Digital Information Research Foundation, 2012. ⟨hal-00616371⟩

Guillaume Charpiat. Colorisation automatique d'images. Interstices, INRIA, 2010. ⟨inria-00474683⟩

Guillaume Charpiat, Pierre Maurel, Jean-Philippe Pons, Renaud Keriven, Olivier Faugeras. Generalized Gradients: Priors on Minimization Flows. International Journal of Computer Vision, Springer Verlag, 2007, 73, pp.325 - 344. ⟨10.1007/s11263-006-9966-2⟩. ⟨hal-01117529⟩

Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer. CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI 2020 - 24th European Conference on Artificial Intelligence, Jun 2020, Santiago de Compostela, Spain. ⟨hal-02440520⟩

Andrew Khalel, Onur Tasar, Guillaume Charpiat, Yuliya Tarabalka. Multi-Task Deep Learning for Satellite Image Pansharpening and Segmentation. IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨hal-02276549⟩

Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka. Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨hal-02065211⟩

Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka. Input Similarity from the Neural Network Perspective. NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02394647v1⟩

Hugo Richard, Ana Pinho, Bertrand Thirion, Guillaume Charpiat. Optimizing deep video representation to match brain activity. CCN 2018 - Conference on Cognitive Computational Neuroscience, Sep 2018, Philadelphia, United States. ⟨hal-01868735⟩

Armand Zampieri, Guillaume Charpiat, Nicolas Girard, Yuliya Tarabalka. Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing. European Conference on Computer Vision (ECCV), Sep 2018, Munich, Germany. pp.679-696. ⟨hal-01849389⟩

Sophie Giffard-Roisin, David Gagne, Alexandre Boucaud, Balázs Kégl, Mo Yang, et al.. The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast. 8th International Workshop on Climate Informatics, Sep 2018, Boulder, CO, United States. pp.4. ⟨hal-01924336⟩

Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Balázs Kégl, Claire Monteleoni. Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets. Modeling and decision-making in the spatiotemporal domain NIPS workhop, Dec 2018, Montréal, Canada. ⟨hal-01905408⟩

Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Balázs Kégl, Claire Monteleoni. Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data. Climate Informatics Workshop Proceedings 2018, Sep 2018, Boulder, United States. ⟨hal-01851001⟩

Nicolas Girard, Guillaume Charpiat, Yuliya Tarabalka. Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning. Asian Conference on Computer Vision (ACCV), Dec 2018, Perth, Australia. ⟨hal-01923568⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2017, Fort Worth, United States. ⟨hal-01468452⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Polygonization of Remote Sensing Classification Maps by Mesh Approximation. ICIP 2017 - IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.5. ⟨hal-01530460⟩

Théophile Sanchez, Guillaume Charpiat, Flora Jay. SPI-DNA: End-to-end Deep Learning Approach for Demographic History Inference. Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France. ⟨hal-01679385⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. High-resolution image classification with convolutional networks. IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2017, Jul 2017, Fort Worth, United States. ⟨hal-01660754⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez. Fully Convolutional Neural Networks For Remote Sensing Image Classification. IEEE International Geoscience and Remote Sensing Symposium, IEEE GRSS, Jul 2016, Beijing, China. pp.5071-5074. ⟨hal-01350706⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Optimizing Partition Trees for Multi-Object Segmentation with Shape Prior. 26th British Machine Vision Conference, Sep 2015, Swansea, United Kingdom. ⟨hal-01182776⟩

Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-André Weber, et al.. A Nonparametric model for Brain Tumor Segmentation and Volumetry in Longitudinal MR Sequences. MICCAI Brain Lesion Workshop, Oct 2015, Munich, Germany. ⟨hal-01205916⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Improved Partition Trees for Multi-Class Segmentation of Remote Sensing Images. 2015 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2015, IEEE, Jul 2015, Milan, Italy. ⟨hal-01182772⟩

Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat. Multiple Object Tracking by Efficient Graph Partitioning. ACCV - 12th Asian Conference on Computer Vision, Michael S. Brown and Tat-Jen Cham and Yasuyuki Matsushita, Nov 2014, Singapore, Singapore. ⟨hal-01061450⟩

Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat. Hierarchical Representation of Videos with Spatio-Temporal Fibers. IEEE Winter Conference on Applications of Computer Vision, Mar 2014, Colorado, United States. ⟨hal-00911012⟩

Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern Menze. Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. BMVC - British Machine Vision Conference, Sep 2013, Bristol, United Kingdom. ⟨hal-00856634⟩

Yuliya Tarabalka, Guillaume Charpiat. A Graph-Cut-Based Method for Spatio-Temporal Segmentation of Fire from Satellite Observations. IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. ⟨hal-00845691⟩

Ahmed Gamal Eldin, Guillaume Charpiat, Xavier Descombes, Josiane Zerubia. An efficient optimizer for simple point process models. SPIE, Computational Imaging XI, Feb 2013, Burlingame, California, United States. ⟨10.1117/12.2009238⟩. ⟨hal-00801448⟩

Slawomir Bak, Guillaume Charpiat, Etienne Corvee, Francois Bremond, Monique Thonnat. Learning to Match Appearances by Correlations in a Covariance Metric Space. 12th European Conference on Computer Vision, Oct 2012, Florence, Italy. pp.806-820, ⟨10.1007/978-3-642-33712-3_58⟩. ⟨hal-00731792⟩

Ahmed Gamal Eldin, Xavier Descombes, Guillaume Charpiat, Josiane Zerubia. A fast multiple birth and cut algorithm using belief propagation. ICIP 2011 (International Conference on Image Processing), Sep 2011, Bruxelles, Belgium. ⟨inria-00592446⟩

Vincent Martin, Victor Moncada, Jean-Marcel Travere, Thierry Loarer, François Bremond, et al.. A Cognitive Vision System for Nuclear Fusion Device Monitoring. 8th International Conference, ICVS 2011, Sep 2011, Sophia Antipolis, France. pp.163-172. ⟨hal-00609876⟩

Guillaume Charpiat. Exhaustive Family of Energies Minimizable Exactly by a Graph Cut. Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States. ⟨inria-00616370⟩

Siqi Chen, Guillaume Charpiat, Richard Radke. Converting Level Set Gradients to Shape Gradients. 11th European Conference on Computer Vision, Sep 2010, Hersonissos, Greece. ⟨inria-00497222⟩

Guillaume Charpiat. Learning Shape Metrics based on Deformations and Transport. Second Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Sep 2009, Kyoto, Japan. ⟨inria-00481535⟩

Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf. Automatic Image Colorization via Multimodal Predictions. European Conference on Computer Vision, Sep 2008, Marseille, France. ⟨inria-00481552⟩

Guillaume Charpiat, Pierre Maurel, Olivier Faugeras, Renaud Keriven. Distance-Based Shape Statistics. 31st International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp.V925-V928, ⟨10.1109/ICASSP.2006.1661428⟩. ⟨inria-00608087⟩

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

Guillaume Charpiat, Ilja Bezrukov, Yasemin Altun, Matthias Hofmann, Bernhard Schölkopf. Machine Learning Methods for Automatic Image Colorization. R. Lukac Editor. Computational Photography: Methods and Applications, CRC Press, 2011. ⟨inria-00481561⟩

Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf. Kernel methods in medical imaging. Paragios, N. and J. Duncan and N. Ayache. Handbook of Biomedical Imaging, Springer, 2010. ⟨inria-00481569⟩

Guillaume Charpiat, Olivier Faugeras, Renaud Keriven, Pierre Maurel. Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics. 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⟩. ⟨hal-01117516⟩

Pierre Wolinski, Guillaume Charpiat, Yann Ollivier. Interpreting a Penalty as the Influence of a Bayesian Prior. 2020. ⟨hal-02466702⟩

Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer. CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. 2019. ⟨hal-02374956⟩

Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka. Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing. 2018. ⟨hal-01718263⟩

Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez. Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps. 2016. ⟨hal-01388551⟩

Yann Ollivier, Guillaume Charpiat. Training recurrent networks online without backtracking. 2015. ⟨hal-01228954⟩

Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat. Multi-label segmentation of images with partition trees. [Research Report] Inria Sophia Antipolis. 2014. ⟨hal-01084166⟩

Olivier Faugeras, Geoffray Adde, Guillaume Charpiat, Christophe Chefd'Hotel, Maureen Clerc, et al.. Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function. RR-5202, INRIA. 2004, pp.22. ⟨inria-00070790⟩

Guillaume Charpiat, Olivier Faugeras, Renaud Keriven. Approximations of shape metrics and application to shape warping and empirical shape statistics. RR-4820, INRIA. 2003. ⟨inria-00071766⟩

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