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ORCIDMichele Volpi
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2020 – today
- 2024
[j17]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: 102156 (2024)- [c25]Diego Gomes, Ross S. Purves, Michele Volpi:
Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate Ranking. GeoExT@ECIR 2024: 43-51 - 2023
- [c24]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 - [i13]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 abs/2309.11354 (2023) - [i12]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 abs/2312.10872 (2023) - 2022
- [j16]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: 101782 (2022) - [c23]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi:
What You See is What You Classify: Black Box Attributions. NeurIPS 2022 - [i11]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 abs/2203.14673 (2022) - [i10]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi:
What You See is What You Classify: Black Box Attributions. CoRR abs/2205.11266 (2022) - 2021
- [i9]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 abs/2104.07784 (2021) - [i8]Devis Tuia, Michele Volpi, Maxime Trolliet, Gustau Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. CoRR abs/2104.07803 (2021) - 2020
- [j15]Elise Acheson, Michele Volpi, Ross S. Purves:
Machine learning for cross-gazetteer matching of natural features. Int. J. Geogr. Inf. Sci. 34(4): 708-734 (2020)
2010 – 2019
- 2018
- [j14]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): 147 (2018) - [j13]Devis Tuia, Michele Volpi, Gabriele Moser:
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields. IEEE Trans. Geosci. Remote. Sens. 56(6): 3277-3289 (2018) - [i7]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 abs/1803.06253 (2018) - [i6]Michele Volpi, Devis Tuia:
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. CoRR abs/1808.07675 (2018) - [i5]Devis Tuia, Michele Volpi, Gabriele Moser:
Decision fusion with multiple spatial supports by conditional random fields. CoRR abs/1808.08024 (2018) - 2017
- [j12]Michele Volpi, Devis Tuia:
Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(2): 881-893 (2017) - [c22]Elise Acheson, Julia Villette, Michele Volpi, Ross S. Purves:
Gazetteer matching for natural features in Switzerland. GIR 2017: 11:1-11:2 - [c21]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation Equivariant Vector Field Networks. ICCV 2017: 5058-5067 - [c20]Benjamin Kellenberger, Michele Volpi, Devis Tuia:
Fast animal detection in UAV images using convolutional neural networks. IGARSS 2017: 866-869 - [c19]Shivangi Srivastava, Michele Volpi, Devis Tuia:
Joint height estimation and semantic labeling of monocular aerial images with CNNS. IGARSS 2017: 5173-5176 - [c18]Benjamin Kellenberger, Michele Volpi, Devis Tuia:
Learning class- and location-specific priors for urban semantic labeling with CNNs. JURSE 2017: 1-4 - [i4]Rey Nicolas, Michele Volpi, Stéphane Joost, Devis Tuia:
Detecting animals in African Savanna with UAVs and the crowds. CoRR abs/1709.01722 (2017) - 2016
- [c17]Diego Marcos, Michele Volpi, Devis Tuia:
Learning rotation invariant convolutional filters for texture classification. ICPR 2016: 2012-2017 - [c16]Michele Volpi, Devis Tuia:
Semantic labeling of aerial images by learning class-specific object proposals. IGARSS 2016: 1556-1559 - [c15]Devis Tuia, Michele Volpi, Gabriele Moser:
Getting pixels and regions to agree with conditional random fields. IGARSS 2016: 3290-3293 - [c14]Diego Marcos, Michele Volpi, Devis Tuia:
Solving structured segmentation of aerial images as puzzles. IGARSS 2016: 3346-3349 - [i3]Diego Marcos, Michele Volpi, Devis Tuia:
Learning rotation invariant convolutional filters for texture classification. CoRR abs/1604.06720 (2016) - [i2]Michele Volpi, Devis Tuia:
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks. CoRR abs/1608.00775 (2016) - [i1]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation equivariant vector field networks. CoRR abs/1612.09346 (2016) - 2015
- [j11]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): 3372-3399 (2015) - [j10]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): 3550-3564 (2015) - [c13]Michele Volpi, Vittorio Ferrari:
Semantic segmentation of urban scenes by learning local class interactions. CVPR Workshops 2015: 1-9 - [c12]Michele Volpi, Vittorio Ferrari:
Structured prediction for urban scene semantic segmentation with geographic context. JURSE 2015: 1-4 - 2014
- [j9]Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia:
Semi-supervised multiview embedding for hyperspectral data classification. Neurocomputing 145: 427-437 (2014) - [j8]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): 6062-6074 (2014) - [j7]Devis Tuia, Michele Volpi, Maxime Trolliet, Gustavo Camps-Valls:
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 52(12): 7708-7720 (2014) - [c11]Devis Tuia, Michele Volpi, Gustau Camps-Valls:
Unsupervised Alignment of Image Manifolds with Centrality Measures. ICPR 2014: 912-917 - [c10]Michele Volpi, Devis Tuia:
Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data. WHISPERS 2014: 1-4 - 2013
- [j6]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: 77-85 (2013) - [j5]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: 24-31 (2013) - [c9]Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia:
Multi-view feature extraction for hyperspectral image classification. ESANN 2013 - [c8]Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski:
Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. ICPRAM 2013: 419-424 - [c7]Devis Tuia, Maxime Trolliet, Michele Volpi:
Multisensor alignment of image manifolds. IGARSS 2013: 1246-1249 - [c6]Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia:
Multi-sensor change detection based on nonlinear canonical correlations. IGARSS 2013: 1944-1947 - [c5]Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary:
Create the relevant spatial filterbank in the hyperspectral jungle. IGARSS 2013: 2172-2175 - 2012
- [j4]Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski:
Unsupervised Change Detection With Kernels. IEEE Geosci. Remote. Sens. Lett. 9(6): 1026-1030 (2012) - [j3]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): 331-342 (2012) - [j2]Michele Volpi, Devis Tuia, Mikhail F. Kanevski:
Memory-Based Cluster Sampling for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 50(8): 3096-3106 (2012) - [c4]Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy:
Discovering relevant spatial filterbanks for VHR image classification. ICPR 2012: 3212-3215 - [c3]Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski:
Enhanced change detection using nonlinear feature extraction. IGARSS 2012: 6757-6760 - 2011
- [j1]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): 606-617 (2011) - [c2]Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski:
Unsupervised change detection in the feature space using kernels. IGARSS 2011: 106-109 - 2010
- [c1]Michele Volpi, Devis Tuia, Mikhail F. Kanevski:
Advanced active sampling for remote sensing image classification. IGARSS 2010: 1414-1417
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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