Michele Volpi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Image Classification

Convolutional Neural Networks

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel
Self-supervised learning unveils urban change from street-level images. Comput. Environ. Urban Syst. 112 (2024)
Diego Gomes, Ross S. Purves, Michele Volpi
Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate Ranking. GeoExT@ECIR (2024)
Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye
Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria. CoRR (2023)
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
Renku: a platform for sustainable data science. NeurIPS (2023)
Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel
Self-supervised learning unveils change in urban housing from street-level images. CoRR (2023)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. CoRR (2022)
Danya Li, Joaquin Gajardo, Michele Volpi, Thijs Defraeye
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region. CoRR (2022)
Maximilian C. Hartmann, Moritz Schott, Alishiba Dsouza, Yannick Metz, Michele Volpi, Ross S. Purves
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. Ecol. Informatics 71 (2022)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. NeurIPS (2022)
Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
A survey of active learning algorithms for supervised remote sensing image classification. CoRR (2021)
Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR (2021)
Elise Acheson, Michele Volpi, Ross S. Purves
Machine learning for cross-gazetteer matching of natural features. Int. J. Geogr. Inf. Sci. 34 (4) (2020)
Jan Dirk Wegner, Ribana Roscher, Michele Volpi, Fabio Veronesi
Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis. ISPRS Int. J. Geo Inf. 7 (4) (2018)
Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR (2018)
Devis Tuia, Michele Volpi, Gabriele Moser
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. IEEE Trans. Geosci. Remote. Sens. 56 (6) (2018)
Michele Volpi, Devis Tuia
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. CoRR (2018)
Devis Tuia, Michele Volpi, Gabriele Moser
Decision fusion with multiple spatial supports by conditional random fields. CoRR (2018)
Benjamin Kellenberger, Michele Volpi, Devis Tuia
Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE (2017)
Benjamin Kellenberger, Michele Volpi, Devis Tuia
Fast animal detection in UAV images using convolutional neural networks. IGARSS (2017)
Rey Nicolas, Michele Volpi, Stéphane Joost, Devis Tuia
Detecting animals in African Savanna with UAVs and the crowds. CoRR (2017)
Michele Volpi, Devis Tuia
Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55 (2) (2017)
Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
Rotation Equivariant Vector Field Networks. ICCV (2017)
Elise Acheson, Julia Villette, Michele Volpi, Ross S. Purves
Gazetteer matching for natural features in Switzerland. GIR (2017)
Shivangi Srivastava, Michele Volpi, Devis Tuia
Joint height estimation and semantic labeling of monocular aerial images with CNNS. IGARSS (2017)
Michele Volpi, Devis Tuia
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks. CoRR (2016)
Devis Tuia, Michele Volpi, Gabriele Moser
Getting pixels and regions to agree with conditional random fields. IGARSS (2016)
Diego Marcos, Michele Volpi, Devis Tuia
Learning rotation invariant convolutional filters for texture classification. ICPR (2016)
Diego Marcos, Michele Volpi, Devis Tuia
Learning rotation invariant convolutional filters for texture classification. CoRR (2016)
Michele Volpi, Devis Tuia
Semantic labeling of aerial images by learning class-specific object proposals. IGARSS (2016)
Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
Rotation equivariant vector field networks. CoRR (2016)
Diego Marcos, Michele Volpi, Devis Tuia
Solving structured segmentation of aerial images as puzzles. IGARSS (2016)
Michele Volpi, Vittorio Ferrari
Structured prediction for urban scene semantic segmentation with geographic context. JURSE (2015)
Gareth Ireland, Michele Volpi, George P. Petropoulos
Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Remote. Sens. 7 (3) (2015)
Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 53 (7) (2015)
Michele Volpi, Vittorio Ferrari
Semantic segmentation of urban scenes by learning local class interactions. CVPR Workshops (2015)
Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52 (12) (2014)
Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
Semi-supervised multiview embedding for hyperspectral data classification. Neurocomputing 145 (2014)
Devis Tuia, Michele Volpi, Gustau Camps-Valls
Unsupervised Alignment of Image Manifolds with Centrality Measures. ICPR (2014)
Michele Volpi, Devis Tuia
Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data. WHISPERS (2014)
Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM (2013)
Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia
Multi-sensor change detection based on nonlinear canonical correlations. IGARSS (2013)
Michele Volpi, George P. Petropoulos, Mikhail F. Kanevski
Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis. Comput. Geosci. 57 (2013)
Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone
Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinformation 20 (2013)
Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
Create the relevant spatial filterbank in the hyperspectral jungle. IGARSS (2013)
Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia
Multi-view feature extraction for hyperspectral image classification. ESANN (2013)
Devis Tuia, Maxime Trolliet, Michele Volpi
Multisensor alignment of image manifolds. IGARSS (2013)
Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
Unsupervised Change Detection With Kernels. IEEE Geosci. Remote. Sens. Lett. 9 (6) (2012)
Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski
Enhanced change detection using nonlinear feature extraction. IGARSS (2012)
Nathan Longbotham, Fabio Pacifici, Taylor C. Glenn, Alina Zare, Michele Volpi, Devis Tuia, Emmanuel Christophe, Julien Michel, Jordi Inglada, Jocelyn Chanussot, Qian Du
Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (1) (2012)
Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Memory-Based Cluster Sampling for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 50 (8) (2012)
Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy
Discovering relevant spatial filterbanks for VHR image classification. ICPR (2012)
Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski
Unsupervised change detection in the feature space using kernels. IGARSS (2011)
Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí
A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification. IEEE J. Sel. Top. Signal Process. 5 (3) (2011)
Michele Volpi, Devis Tuia, Mikhail F. Kanevski
Advanced active sampling for remote sensing image classification. IGARSS (2010)