Devis Tuia

发表

Crop backscatter modeling and soil moisture estimation with support vector regression

Jean-Philippe Thiran, Maurice Borgeaud, Paolo Ferrazzoli, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Multisensor Change Detection with Nonlinear Canonical Correlation

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2013, IGARSS 2013.

Learning rotation invariant convolutional filters for texture classification

Michele Volpi, Devis Tuia, Diego Marcos, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Enhanced change detection using nonlinear feature extraction

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Joining a Discrete Radiative Transfer Model and a Kernel Retrieval Algorithm for Soil Moisture Estimation From SAR Data

Jean-Philippe Thiran, Paolo Ferrazzoli, Leila Guerriero, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Foreword to the Special Issue on "GeoVision: Computer Vision for Geospatial Applications"

Jan Dirk Wegner, Michael Ying Yang, Devis Tuia, 2016, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Devis Tuia, Benjamin Kellenberger, Dan Morris, 2020, Methods in Ecology and Evolution.

Novelty detection in very high resolution urban scenes with Density Forests

Devis Tuia, Diego Marcos, Cyril Wendl, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

Report on the IEEE GRSS\/ISPRS Workshop EarthVision @ CVPR 2015 (Boston, MA) [Technical Committees]

Josiane Zerubia, Konrad Schindler, Jan Dirk Wegner, 2015 .

A Deep Network Approach to Multitemporal Cloud Detection

Gustau Camps-Valls, Devis Tuia, Benjamin Kellenberger, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Unsupervised change detection in the feature space using kernels

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Mixed spectral-structural classification of very high resolution images with summation kernels

Devis Tuia, Frédéric Ratle, 2008, Remote Sensing.

Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images

Maurice Borgeaud, Devis Tuia, Frank de Morsier, 2016, IEEE Transactions on Geoscience and Remote Sensing.

PREFACE – ISPRS WORKSHOP HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)

Eija Honkavaara, Devis Tuia, Martin Weinmann, 2019 .

Pose estimation of landscape images using DEM and orthophotos

Christoph Strecha, Devis Tuia, Timothee Produit, 2012, 2012 International Conference on Computer Vision in Remote Sensing.

Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions

Mikhail F. Kanevski, Fabio Pacifici, Devis Tuia, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification

Lorenzo Bruzzone, Mikhail F. Kanevski, Michele Volpi, 2013, ICPRAM.

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs

Devis Tuia, Diego Marcos, Sylvain Lobry, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Deep learning based methods for building segmentation from remote sensing data

Devis Tuia, Benjamin Kellenberger, Shivangi Srivastava, 2018 .

Remote Sensing Image Processing. Synthesis Lectures on Image, Video, and Multimedia Processing.

Devis Tuia, Jesús Malo, G. Camps-Valls, 2011 .

Passive Optical Data Processing

Devis Tuia, 2014 .

Wasserstein Adversarial Regularization (WAR) on label noise

Nicolas Courty, Devis Tuia, R'emi Flamary, 2019 .

Remote Sensing Image Processing

Luis Gómez-Chova, Gustavo Camps-Valls, Devis Tuia, 2011, Remote Sensing Image Processing.

Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences

Fabio Pacifici, Devis Tuia, Giona Matasci, 2015 .

Foreword to the Special Issue on Data Fusion in Remote Sensing [From the Guest Editors]

Gabriele Moser, Devis Tuia, 2015 .

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

Michele Volpi, Devis Tuia, D. Tuia, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Domain separation for efficient adaptive active learning

Mikhail F. Kanevski, Devis Tuia, Giona Matasci, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Land-use characterisation using Google Street View pictures and OpenStreetMap

Devis Tuia, Sylvain Lobry, John Vargas Munoz, 2018 .

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

Michele Volpi, Devis Tuia, Diego Marcos, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees]

Gabriele Moser, Michal Shimoni, Devis Tuia, 2014 .

Improving active learning methods using spatial information

William J. Emery, Farid Melgani, Edoardo Pasolli, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Hydrometeor classification from two-dimensional video disdrometer data

Devis Tuia, Alexis Berne, Jacopo Grazioli, 2014 .

Report on the 2015 Ieee GRss Data Fusion Contest - extremely High Resolution L iDaR and Optical Data: a Data Fusion Challenge

Jon Atli Benediktsson, Paolo Gamba, Gabriele Moser, 2015 .

Semisupervised Manifold Alignment of Multimodal Remote Sensing Images

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs

Devis Tuia, Diego Marcos, Jesse Murray, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Detection of Urban Socio-economic Patterns Using Clustering Techniques

Devis Tuia, Mikhail Kanevski, Christian Kaiser, 2009 .

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling

Devis Tuia, Diego Marcos, Adugna G. Mullissa, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Multisource Composite Kernels for Urban-Image Classification

Gustavo Camps-Valls, Devis Tuia, Frédéric Ratle, 2010, IEEE Geoscience and Remote Sensing Letters.

Estimating biophysical variable dependences with kernels

Valero Laparra, Gustavo Camps-Valls, Devis Tuia, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Multi-sensor change detection based on nonlinear canonical correlations

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

Nikos Paragios, Gabriele Moser, Lichao Mou, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Detecting animals in African Savanna with UAVs and the crowds pdf

Michele Volpi, Devis Tuia, Stéphane Joost, 2017, ArXiv.

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

Michele Volpi, Devis Tuia, Shivangi Srivastava, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

Erzsébet Merényi, Manuel Graña, Xiuping Jia, 2014, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Land use modeling in North Rhine-Westphalia with interaction and scaling laws

Gabriele Moser, Hannes Taubenböck, Michael Wurm, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Author response for "AIDE: Accelerating Image‐Based Ecological Surveys with Interactive Machine Learning"

Devis Tuia, Benjamin Kellenberger, Dan Morris, 2020 .

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

Michele Volpi, Devis Tuia, Benjamin Kellenberger, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

2016 IEEE GRSS Data Fusion Contest: Multitemporal Very High Resolution from Space [Technical Committees]

Devis Tuia, Gabriele Moser, Bertrand Le Saux, 2017 .

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

Luis Alonso, Fernando Pérez-Cruz, Gustavo Camps-Valls, 2011, IEEE Geoscience and Remote Sensing Letters.

Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery

Devis Tuia, Diego Marcos, Benjamin Kellenberger, 2018, ECML/PKDD.

Report on the 2014 IEEE GRSS Data Fusion Contest: Multiresolution Fusion of Thermal Hyperspectral and VIS Data [Technical Committees]

Gabriele Moser, Michal Shimoni, Devis Tuia, 2014 .

Pose Estimation of Web-Shared Landscape Pictures

Devis Tuia, François Golay, Vincent Lepetit, 2014 .

Spectral adaptation of hyperspectral flight lines using VHR contextual information

Paul Scheunders, Pieter Kempeneers, Gustavo Camps-Valls, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Hydrometor classification from 2 dimensional videodisdrometer data

Devis Tuia, Alexis Berne, Jacopo Grazioli, 2014 .

Optimal transport for data fusion in remote sensing

Nicolas Courty, Devis Tuia, Rémi Flamary, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

2016 IEEE GRSS Data Fusion Contest: Very high temporal resolution from space Technical Committees

Gabriele Moser, Bertrand Le Saux, Devis Tuia, 2016 .

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

Michele Volpi, Devis Tuia, D. Tuia, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Scan statistics analysis of forest fire clusters

Devis Tuia, Mikhail Kanevski, Rosa Lasaponara, 2008 .

Using active learning for monitoring networks design: the example of wind power plants sites evaluation

Devis Tuia, Alexei Pozdnoukhov, Mikhail Kanevski, 2012 .

Learning Relevant Image Features With Multiple-Kernel Classification

Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Unbiased query-by-bagging active learning for VHR image classification

Michele Volpi, Devis Tuia, Mikhail Kanevski, 2010, Remote Sensing.

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning

Devis Tuia, Diego Marcos, Benjamin Kellenberger, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Interactive Coconut Tree Annotation Using Feature Space Projections

Alexandre X. Falcão, Devis Tuia, Ping Zhou, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

To be or not to be convex? A study on regularization in hyperspectral image classification

Michel Barlaud, Devis Tuia, Rémi Flamary, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution pdf

Devis Tuia, Shivangi Srivastava, John E. Vargas-Muñoz, 2019, Remote Sensing of Environment.

Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation

Jefersson Alex dos Santos, Alexandre X. Falcão, Devis Tuia, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Self-supervised pre-training enhances change detection in Sentinel-2 imagery pdf

Francesca Bovolo, Devis Tuia, Diego Marcos, 2021, ICPR Workshops.

Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines

William J. Emery, Mikhail F. Kanevski, Fabio Pacifici, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

Zheng Zhang, Ping Tang, Devis Tuia, 2015, IEEE Geoscience and Remote Sensing Letters.

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Jean-Philippe Thiran, Devis Tuia, Frank de Morsier, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Multitemporal classification without new labels: A solution with optimal transport

Nicolas Courty, Alain Rakotomamonjy, Devis Tuia, 2015, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

Nonconvex Regularization in Remote Sensing

Michel Barlaud, Devis Tuia, Rémi Flamary, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Remote sensing image segmentation by active queries

Gustavo Camps-Valls, Devis Tuia, Jordi Muñoz-Marí, 2012, Pattern Recognit..

Solving structured segmentation of aerial images as puzzles

Michele Volpi, Devis Tuia, Diego Marcos, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

Devis Tuia, Shivangi Srivastava, Sylvain Lobry, 2018, Int. J. Geogr. Inf. Sci..

Dataset shift adaptation with active queries

William J. Emery, Edoardo Pasolli, Devis Tuia, 2011, 2011 Joint Urban Remote Sensing Event.

2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees]

Gabriele Moser, Linda See, Bertrand Le Saux, 2017 .

Cluster validity measure and merging system for hierarchical clustering considering outliers

Jean-Philippe Thiran, Maurice Borgeaud, Devis Tuia, 2015, Pattern Recognit..

Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects

Uwe Soergel, Wolfgang Middelmann, Devis Tuia, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images

Mikhail F. Kanevski, Devis Tuia, Patrick Bogaert, 2008, IEEE Geoscience and Remote Sensing Letters.

Report on the 2015 IEEE GRSS Data Fusion Contest-Extremely High Resolution LiDAR and Optical Data: A Data Fusion Challenge [Technical Committees]

Gabriele Moser, Michal Shimoni, Devis Tuia, 2015 .

SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation

Mikhail F. Kanevski, Devis Tuia, Giona Matasci, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Nicolas Courty, Ievgen Redko, Devis Tuia, 2018, AISTATS.

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images

Devis Tuia, Diego Marcos, Benjamin Kellenberger, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

An open tool to register landscape oblique images and generate their synthetic models

Devis Tuia, Timothée Produit, D. Tuia, 2012 .

Emergence of spatio-temporal patterns in forest-fire sequences

Devis Tuia, Mikhail Kanevski, Rosa Lasaponara, 2008 .

Weakly supervised alignment of image manifolds with semantic ties

Devis Tuia, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Active multiple kernel learning of wind power resources

Devis Tuia, Stéphane Joost, Alexei Pozdnoukhov, 2011, NIPS 2011.

Concept Discovery for The Interpretation of Landscape Scenicness

Devis Tuia, Pim Arendsen, Diego Marcos, 2020, Mach. Learn. Knowl. Extr..

Foreword to the Special Issue on Urban Remote Sensing

Derya Maktav, Paolo Gamba, Carsten Jürgens, 2016, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Foreword to the Special Issue on Urban Remote Sensing for Smarter Cities

Devis Tuia, Prashanth Reddy Marpu, Clément Mallet, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Active Learning Methods for Remote Sensing Image Classification

William J. Emery, Mikhail F. Kanevski, Fabio Pacifici, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Learning the relevant image features with multiple kernels

Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Learning wind fields with multiple kernels

Devis Tuia, Alexei Pozdnoukhov, Mikhail Kanevski, 2011 .

Geospatial Correspondences for Multimodal Registration

Devis Tuia, Raffay Hamid, Diego Marcos, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Fast animal detection in UAV images using convolutional neural networks

Michele Volpi, Devis Tuia, Benjamin Kellenberger, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs

Gabriele Moser, Devis Tuia, Diego Marcos, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Indoor radon data monitoring networks : Topology, fractality and validity domains

Devis Tuia, Mikhail Kanevski, 2006 .

Investigating the feature extraction framework for domain adaptation in remote sensing image classification

Lorenzo Bruzzone, Michele Volpi, Devis Tuia, 2013 .

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport

Nicolas Courty, Devis Tuia, Diego Marcos, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

Naoto Yokoya, Gabriele Moser, Pedram Ghamisi, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

BETTER GENERIC OBJECTS COUNTING WHEN ASKING QUESTIONS TO IMAGES: A MULTITASK APPROACH FOR REMOTE SENSING VISUAL QUESTION ANSWERING

Devis Tuia, Benjamin Kellenberger, Sylvain Lobry, 2020 .

Cluster-based active learning for compact image classification

Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

The 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees]

Gabriele Moser, Linda See, Bertrand Le Saux, 2017 .

Large-scale random features for kernel regression

Valero Laparra, Gustau Camps-Valls, Devis Tuia, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning pdf

Devis Tuia, Diego Marcos, Benjamin Kellenberger, 2018, Remote Sensing of Environment.

Spectral-textural endmember extraction

Antonio J. Plaza, Fabio Pacifici, Devis Tuia, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Semisupervised Classification of Remote Sensing Images With Active Queries

Gustavo Camps-Valls, Devis Tuia, Jordi Muñoz-Marí, 2012, IEEE Transactions on Geoscience and Remote Sensing.

DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation pdf

Nicolas Courty, Devis Tuia, Rémi Flamary, 2018, ECCV.

Foreword to the special issue on data fusion in remote sensing

Gabriele Moser, Devis Tuia, 2015 .

Discriminative Multiple Kernel Learning for Hyperspectral Image Classification

Yanfeng Gu, Devis Tuia, Qingwang Wang, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Domain adaptation in remote sensing through cross-image synthesis with dictionaries

Mikhail F. Kanevski, Devis Tuia, Frank de Morsier, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Deep learning in remote sensing: a review pdf

Xiao Xiang Zhu, Gui-Song Xia, Liangpei Zhang, 2017, ArXiv.

Using active learning to adapt remote sensing image classifiers

William J. Emery, Edoardo Pasolli, Devis Tuia, 2011 .

Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data

Mikhail F. Kanevski, Devis Tuia, Christian Kaiser, 2009, Trans. Comput. Sci..

Semi-Supervised Novelty Detection Using SVM Entire Solution Path

Jean-Philippe Thiran, Maurice Borgeaud, Devis Tuia, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Multisensor alignment of image manifolds

Michele Volpi, Devis Tuia, Maxime Trolliet, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Jing Huang, Ramesh Raskar, Saikat Basu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Statistical assessment of dataset shift in model portability of multi-angle image acquisitions

Fabio Pacifici, Devis Tuia, Giona Matasci, 2013, IGARSS 2013.

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization pdf

Gustau Camps-Valls, Devis Tuia, Diego Marcos, 2016, ArXiv.

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

José Luis Rojo-Álvarez, Gustavo Camps-Valls, Devis Tuia, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Do geographic features impact pictures location shared on the Web? Modeling photographic suitability in the Swiss Alps

Timothée Produit, Devis Tuia, Frank de Morsier, 2014, EMR@ICMR.

CHANGE DETECTION BETWEEN DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING USING CONVOLUTIONAL NEURAL NETWORKS

Michael Ying Yang, Zhenchao Zhang, George Vosselman, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Optimal Transport for Domain Adaptation

Nicolas Courty, Alain Rakotomamonjy, Devis Tuia, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Explicit recursivity into reproducing kernel Hilbert spaces

Gustavo Camps-Valls, Devis Tuia, Manel Martínez-Ramón, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Memory-Based Cluster Sampling for Remote Sensing Image Classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Defining and spatially modelling cultural ecosystem services using crowdsourced data

Devis Tuia, Lars Hein, Patrick W. Bogaart, 2020 .

Estimating quality of life dimensions from urban spatial pattern metrics

Marta Sapena, Luis Ángel Ruiz Fernández, Hannes Taubenböck, 2021, Comput. Environ. Urban Syst..

Correcting rural building annotations in OpenStreetMap using convolutional neural networks pdf

Alexandre X. Falcão, Devis Tuia, Sylvain Lobry, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions pdf

Nicolas Courty, Devis Tuia, Rémi Flamary, 2015, ArXiv.

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation

Naoto Yokoya, Bertrand Le Saux, Devis Tuia, 2020, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Active Learning: Any Value for Classification of Remotely Sensed Data?

Melba M. Crawford, Devis Tuia, Hsiuhan Lexie Yang, 2013, Proceedings of the IEEE.

Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields

Mikhail F. Kanevski, Devis Tuia, Alexei Pozdnoukhov, 2009, ICANN.

Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data

Michael Ying Yang, Zhenchao Zhang, George Vosselman, 2019, Remote. Sens..

Create the relevant spatial filterbank in the hyperspectral jungle

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

Alexandre Boulch, Gabriele Moser, Carlo Gatta, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hydrometeor classification from polarimetric radar measurements: a clustering approach

Devis Tuia, Alexis Berne, Jacopo Grazioli, 2015 .

Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

Aleksandra Pizurica, Hui Liu, Gabriele Moser, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Semi-supervised multiview embedding for hyperspectral data classification

Michele Volpi, Devis Tuia, Mikhail Kanevski, 2014, Neurocomputing.

Principal Polynomial Analysis

Valero Laparra, Gustau Camps-Valls, Devis Tuia, 2014, Int. J. Neural Syst..

Estimation of soil moisture from airborne hyperspectral imagery with support vector regression

Jean-Philippe Thiran, Maurice Borgeaud, Jelena Stamenkovic, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Individual tree segmentation in deciduous forests using geodesic voting

Devis Tuia, Matthew Parkan, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Semisupervised Remote Sensing Image Classification With Cluster Kernels

Gustavo Camps-Valls, Devis Tuia, D. Tuia, 2009, IEEE Geoscience and Remote Sensing Letters.

Getting pixels and regions to agree with conditional random fields

Gabriele Moser, Michele Volpi, Devis Tuia, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Time series input selection using multiple kernel learning

Mikhail F. Kanevski, Devis Tuia, Loris Foresti, 2010, ESANN.

Learning Deep Structured Active Contours End-to-End

Min Bai, Lisa Zhang, Renjie Liao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Learning Models to Count Buildings in High-Resolution Overhead Images

Devis Tuia, Sylvain Lobry, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

Multisource clustering of remote sensing images with Entropy-based Dempster-Shafer fusion

Jean-Philippe Thiran, Maurice Borgeaud, Devis Tuia, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu, Gui-Song Xia, Liangpei Zhang, 2017, IEEE Geoscience and Remote Sensing Magazine.

Learning User's Confidence for Active Learning

Devis Tuia, Jordi Muñoz-Marí, D. Tuia, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Toward Seamless Multiview Scene Analysis From Satellite to Street Level

Jan Dirk Wegner, Devis Tuia, Sébastien Lefèvre, 2017, Proceedings of the IEEE.

Interactive multisensor change detection in remote sensing images via kernel canonical correlation

Michele Volpi, Devis Tuia, Giona Matasci, 2013 .

Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

Jocelyn Chanussot, Paolo Gamba, Emmanuel Christophe, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Multi-view feature extraction for hyperspectral image classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2013, ESANN.

Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

Lorenzo Bruzzone, Devis Tuia, Claudio Persello, 2016, IEEE Geoscience and Remote Sensing Magazine.

Visual Question Answering From Remote Sensing Images

Devis Tuia, Diego Marcos, Sylvain Lobry, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

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

Qian Du, Jocelyn Chanussot, Julien Michel, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise pdf

Nicolas Courty, Devis Tuia, Rémi Flamary, 2019, ArXiv.

Adaptive Compression-based Lifelong Learning pdf

Matthew B. Blaschko, Devis Tuia, Maxim Berman, 2019, BMVC.

WEAKLY SUPERVISED ALIGNMENT OF MULTISENSOR IMAGES

Gustau Camps-Valls, Devis Tuia, Diego Marcos Gonzalez, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Unsupervised Alignment of Image Manifolds with Centrality Measures

Gustau Camps-Valls, Michele Volpi, Devis Tuia, 2014, 2014 22nd International Conference on Pattern Recognition.

Nonlinear data description with Principal Polynomial Analysis

Valero Laparra, Gustavo Camps-Valls, Devis Tuia, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering

Devis Tuia, Matthew Parkan, 2018, Remote. Sens..

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence

Jefersson Alex dos Santos, Alexandre X. Falcão, Devis Tuia, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Active learning for monitoring network optimization

Devis Tuia, Mikhail Kanevski, Loris Foresti, 2012 .

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

Lorenzo Bruzzone, Michele Volpi, Devis Tuia, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Multisource alignment of image manifolds

Devis Tuia, M. Trolliet, 2013, IGARSS 2013.

Urban Image Classification With Semisupervised Multiscale Cluster Kernels

Gustavo Camps-Valls, Devis Tuia, D. Tuia, 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hydrometeor classification using clustering of polarimetric radar measurements

Devis Tuia, Alexis Berne, Jacopo Grazioli, 2013 .

Foreword to the theme issue on geospatial computer vision

Jan Dirk Wegner, Devis Tuia, Clément Mallet, 2018 .

Unsupervised Change Detection With Kernels

Gustavo Camps-Valls, Mikhail F. Kanevski, Michele Volpi, 2012, IEEE Geoscience and Remote Sensing Letters.

Clustering in Environmental Monitoring Networks: Dimensional Resolutions and Pattern Detection

Devis Tuia, Mikhail Kanevski, Christian Kaiser, 2008 .

Contributions of machine learning to remote sensing data analysis

Paul Scheunders, Devis Tuia, G. Moser, 2018 .

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling

William J. Emery, Fabio Del Frate, Mikhail F. Kanevski, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Ferda Ofli, Devis Tuia, Stéphane Joost, 2016, Big Data.

Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction

Paolo Gamba, Devis Tuia, Daniele De Vecchi, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Rotation Equivariant Vector Field Networks

Nikos Komodakis, Michele Volpi, Devis Tuia, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

Jon Atli Benediktsson, Lorenzo Bruzzone, Gustavo Camps-Valls, 2013, IEEE Signal Processing Magazine.

A deep learning framework for matching of SAR and optical imagery

Devis Tuia, Sylvain Lobry, Michael Schmitt, 2020 .

Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient pdf

Devis Tuia, Alexandre X. Falcao, John E. Vargas-Muñoz, 2020, Int. J. Geogr. Inf. Sci..

Domain Adaptation with Regularized Optimal Transport

Nicolas Courty, Devis Tuia, Rémi Flamary, 2014, ECML/PKDD.

Discovering relevant spatial filterbanks for VHR image classification

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Detecting Unsigned Physical Road Incidents From Driver-View Images pdf

Martin Tomko, Kourosh Khoshelham, Devis Tuia, 2020, IEEE Transactions on Intelligent Vehicles.

Environmental Monitoring Network Characterization and Clustering

Devis Tuia, Mikhail Kanevski, 2010 .

Spatially aware supervised nonlinear dimensionality reduction for hyperspectral data

Michele Volpi, Devis Tuia, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Non-linear low-rank and sparse representation for hyperspectral image analysis

Jean-Philippe Thiran, Devis Tuia, Frank de Morsier, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Kernel Manifold Alignment for Domain Adaptation

Gustau Camps-Valls, Devis Tuia, D. Tuia, 2015, PloS one.

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

Gabriele Moser, Michele Volpi, Devis Tuia, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Graph Matching for Adaptation in Remote Sensing

Luis Gómez-Chova, Devis Tuia, Jesús Malo, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Transfer component analysis for domain adaptation in image classification

Michele Volpi, Devis Tuia, Giona Matasci, 2011, Remote Sensing.

2015 IEEE GRSS Data Fusion Contest: Extremely High Resolution LiDAR and Optical Data [Technical Committees]

Gabriele Moser, Michal Shimoni, Devis Tuia, 2015 .

Beyond the urban mask

Yong Xu, Chao Ren, Frieke Van Coillie, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Classification of urban structural types with multisource data and structured models

Gabriele Moser, Hannes Taubenböck, Michael Wurm, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Gabriele Moser, Luis Gómez-Chova, Gustau Camps-Valls, 2015, Proceedings of the IEEE.

Report on the 2014 ieee GR ss Data Fusion contest: multiresolution Fusion of Thermal hyperspectral and Vis Data

Gabriele Moser, Devis Tuia, 2014 .

Domain adaptation with Hidden Markov Random Fields

Paul Scheunders, Gustavo Camps-Valls, Guy Thoonen, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Very-High Resolution Image Classification using Morphological Operators and SVM

William J. Emery, Domenico Solimini, Fabio Pacifici, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

PREFACE – HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)

Eija Honkavaara, Devis Tuia, Martin Weinmann, 2019 .

Advanced active sampling for remote sensing image classification

Mikhail F. Kanevski, Michele Volpi, Devis Tuia, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest

Gabriele Moser, Dirk Tiede, Debra F. Laefer, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

SVM Active Learning Approach for Image Classification Using Spatial Information

William J. Emery, Farid Melgani, Edoardo Pasolli, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Unsupervised change detection by kernel clustering

Gustavo Camps-Valls, Michele Volpi, Devis Tuia, 2010, Remote Sensing.

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

Michele Volpi, Devis Tuia, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

Gustau Camps-Valls, Michele Volpi, Devis Tuia, 2018 .

Change Detection between Multimodal Remote Sensing Data Using Siamese CNN pdf

Michael Ying Yang, Zhenchao Zhang, George Vosselman, 2018, ArXiv.

Graph matching for efficient classifiers adaptation

Devis Tuia, Jesús Malo, Jordi Muñoz-Marí, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Principal polynomial analysis for remote sensing data processing

Valero Laparra, Gustavo Camps-Valls, Devis Tuia, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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

Francesca Bovolo, Lorenzo Bruzzone, Mikhail F. Kanevski, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps

Mikhail F. Kanevski, Devis Tuia, Christian Kaiser, 2008, ICCSA.

Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression

Jean-Philippe Thiran, Claudia Notarnicola, Giacomo Bertoldi, 2014, Remote Sensing.

Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232]

William J. Emery, Fabio Pacifici, Devis Tuia, 2010, IEEE Trans. Geosci. Remote. Sens..

Scale equivariance in CNNs with vector fields pdf

Devis Tuia, Diego Marcos, Benjamin Kellenberger, 2018, ArXiv.

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing pdf

Devis Tuia, Shivangi Srivastava, John E. Vargas-Muñoz, 2020, IEEE Geoscience and Remote Sensing Magazine.

Perspectives in machine learning for wildlife conservation pdf

Silvia Zuffi, Iain D. Couzin, Devis Tuia, 2021, Nature Communications.

Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data pdf

Lorenzo Bruzzone, Devis Tuia, Claudio Persello, 2021, ArXiv.

Toward a Collective Agenda on AI for Earth Science Data Analysis

Xiao Xiang Zhu, Ribana Roscher, Jan Dirk Wegner, 2021, IEEE Geoscience and Remote Sensing Magazine.

On the relation between landscape beauty and land cover: A case study in the U.K. at Sentinel-2 resolution with interpretable AI

Devis Tuia, Diego Marcos, Alex Levering, 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

Deep Learning Enhances the Detection of Breeding Birds in UAV Images

Devis Tuia, Benjamin Kellenberger, Thor Veen, 2021 .

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth

Gabriele Moser, Sebastiano B. Serpico, Devis Tuia, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Deep Domain Adaptation in Earth Observation

Nicolas Courty, Devis Tuia, Benjamin Kellenberger, 2021, Deep Learning for the Earth Sciences.

Muti-modal learning in photogrammetry and remote sensing

Michael Ying Yang, Devis Tuia, Charles Toth, 2021 .

Mapping Vulnerable Populations with AI pdf

Konrad Schindler, Devis Tuia, Benjamin Kellenberger, 2021, ArXiv.

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images

Irena Hajnsek, Devis Tuia, Benjamin Kellenberger, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

Devis Tuia, Diego Marcos, Alex Levering, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

How to find a good image-text embedding for remote sensing visual question answering? pdf

Bertrand Le Saux, Devis Tuia, Benjamin Kellenberger, 2021, MACLEAN@PKDD/ECML.

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling

Devis Tuia, Diego Marcos, Adugna G. Mullissa, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Cross-Modal Learning of Housing Quality in Amsterdam

Devis Tuia, Diego Marcos, Ilan Havinga, 2021, GeoAI@SIGSPATIAL.

Introducing AIDE: a Software Suite for Annotating Images with Deep and Active Learning Assistance

Dan Morris, Devis Tuia, Benjamin Kellenberger, 2021 .

RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing

Begüm Demir, Devis Tuia, Sylvain Lobry, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media

Devis Tuia, Diego Marcos, Lars Hein, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Deep Learning and Earth Observation to Support the Sustainable Development Goals pdf

Jan Dirk Wegner, Pedram Ghamisi, Gustau Camps-Valls, 2021, ArXiv.

Identifying spatial clustering phenomena in forest-fire sequences

Devis Tuia, Rosa Lasaponara, Luciano Telesca, 2007 .

Near real-time ultrahigh-resolution imaging from unmanned aerial vehicles for sustainable land use management and biodiversity conservation in semi-arid savanna under regional and global change (SAVMAP)

Timothée Produit, Devis Tuia, Stéphane Joost, 2015 .

A group-lasso active set strategy for multiclass hyperspectral image classification

Nicolas Courty, Devis Tuia, Rémi Flamary, 2014 .

Learning spatial filters for multispectral image segmentation

Gustavo Camps-Valls, Alain Rakotomamonjy, Devis Tuia, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform

Dimitri Van De Ville, Devis Tuia, Stéphane Joost, 2012 .

Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms

Devis Tuia, Alexei Pozdnoukhov, Mikhail Kanevski, 2010 .