Michele Volpi

According to our database, Michele Volpi authored at least 47 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria.

Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

CoRR, 2023

Self-supervised learning unveils change in urban housing from street-level images.

Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel

CoRR, 2023

Renku: a platform for sustainable data science.

Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A text and image analysis workflow using citizen science data to extract relevant social media records: Combining red kite observations from Flickr, eBird and iNaturalist.

Maximilian C. Hartmann, Moritz Schott, Alishiba Dsouza, Yannick Metz, Michele Volpi, Ross S. Purves

Ecol. Informatics, 2022

Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region.

Danya Li, Joaquin Gajardo, Michele Volpi, Thijs Defraeye

CoRR, 2022

What You See is What You Classify: Black Box Attributions.

Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Machine learning for cross-gazetteer matching of natural features.

Elise Acheson, Michele Volpi, Ross S. Purves

Int. J. Geogr. Inf. Sci., 2020

2018

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields.

Devis Tuia, Michele Volpi, Gabriele Moser

IEEE Trans. Geosci. Remote. Sens., 2018

Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis.

Jan Dirk Wegner, Ribana Roscher, Michele Volpi, Fabio Veronesi

ISPRS Int. J. Geo Inf., 2018

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images.

Michele Volpi, Devis Tuia

CoRR, 2018

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models.

Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia

CoRR, 2018

2017

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks.

Michele Volpi, Devis Tuia

IEEE Trans. Geosci. Remote. Sens., 2017

Detecting animals in African Savanna with UAVs and the crowds.

Rey Nicolas, Michele Volpi, Stéphane Joost, Devis Tuia

CoRR, 2017

Learning class- and location-specific priors for urban semantic labeling with CNNs.

Benjamin Kellenberger, Michele Volpi, Devis Tuia

Proceedings of the Joint Urban Remote Sensing Event, 2017

Joint height estimation and semantic labeling of monocular aerial images with CNNS.

Shivangi Srivastava, Michele Volpi, Devis Tuia

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Fast animal detection in UAV images using convolutional neural networks.

Benjamin Kellenberger, Michele Volpi, Devis Tuia

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Rotation Equivariant Vector Field Networks.

Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia

Proceedings of the IEEE International Conference on Computer Vision, 2017

Gazetteer matching for natural features in Switzerland.

Elise Acheson, Julia Villette, Michele Volpi, Ross S. Purves

Proceedings of the 11th Workshop on Geographic Information Retrieval, 2017

2016

Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks.

Michele Volpi, Devis Tuia

CoRR, 2016

Semantic labeling of aerial images by learning class-specific object proposals.

Michele Volpi, Devis Tuia

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Getting pixels and regions to agree with conditional random fields.

Devis Tuia, Michele Volpi, Gabriele Moser

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Solving structured segmentation of aerial images as puzzles.

Diego Marcos, Michele Volpi, Devis Tuia

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Learning rotation invariant convolutional filters for texture classification.

Diego Marcos, Michele Volpi, Devis Tuia

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification.

Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia

IEEE Trans. Geosci. Remote. Sens., 2015

Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood.

Gareth Ireland, Michele Volpi, George P. Petropoulos

Remote. Sens., 2015

Structured prediction for urban scene semantic segmentation with geographic context.

Michele Volpi, Vittorio Ferrari

Proceedings of the Joint Urban Remote Sensing Event, 2015

Semantic segmentation of urban scenes by learning local class interactions.

Michele Volpi, Vittorio Ferrari

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images.

Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 2014

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM.

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

IEEE Trans. Geosci. Remote. Sens., 2014

Semi-supervised multiview embedding for hyperspectral data classification.

Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia

Neurocomputing, 2014

Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data.

Michele Volpi, Devis Tuia

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Unsupervised Alignment of Image Manifolds with Centrality Measures.

Devis Tuia, Michele Volpi, Gustau Camps-Valls

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis.

Michele Volpi, George P. Petropoulos, Mikhail F. Kanevski

Comput. Geosci., 2013

Supervised change detection in VHR images using contextual information and support vector machines.

Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone

Int. J. Appl. Earth Obs. Geoinformation, 2013

Multi-sensor change detection based on nonlinear canonical correlations.

Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Create the relevant spatial filterbank in the hyperspectral jungle.

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Multisensor alignment of image manifolds.

Devis Tuia, Maxime Trolliet, Michele Volpi

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification.

Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski

Proceedings of the ICPRAM 2013, 2013

Multi-view feature extraction for hyperspectral image classification.

Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Memory-Based Cluster Sampling for Remote Sensing Image Classification.

Michele Volpi, Devis Tuia, Mikhail F. Kanevski

IEEE Trans. Geosci. Remote. Sens., 2012

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest.

Nathan Longbotham, Fabio Pacifici, Taylor C. Glenn, Alina Zare, Michele Volpi, Devis Tuia, Emmanuel Christophe, Julien Michel, Jordi Inglada, Jocelyn Chanussot, Qian Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Unsupervised Change Detection With Kernels.

Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski

IEEE Geosci. Remote. Sens. Lett., 2012

Enhanced change detection using nonlinear feature extraction.

Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Discovering relevant spatial filterbanks for VHR image classification.

Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification.

Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí

IEEE J. Sel. Top. Signal Process., 2011

Unsupervised change detection in the feature space using kernels.

Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Advanced active sampling for remote sensing image classification.

Michele Volpi, Devis Tuia, Mikhail F. Kanevski

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010