| 2026 | AAAI | TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation. | Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia |
| 2026 | ICPR | Checkmate: Interpretable and Explainable RSVQA is the Endgame. | Lucrezia Tosato, Christel Tartini-Chappuis, Syrielle Montariol, Flora Weissgerber, Sylvain Lobry, Devis Tuia |
| 2025 | CVPR | PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering. | Christel Chappuis, Gencer Smbl, Syrielle Montariol, Sylvain Lobry, Devis Tuia |
| 2025 | CVPR | MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps. | Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sumbul, Alexander Mathis, Devis Tuia |
| 2025 | CVPR | EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia. | Valrie Zermatten, Javiera Castillo-Navarro, Pallavi Jain, Devis Tuia, Diego Marcos |
| 2025 | ICCV | GeoExplorer: Active Geo-Localization with Curiosity-Driven Exploration. | Li Mi, Manon Bchaz, Zeming Chen, Antoine Bosselut, Devis Tuia |
| 2025 | ICCV | The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs. | Jonathan Sauder, Viktor Domazetoski, Guilhem Banc-Prandi, Gabriela Perna, Anders Meibom, Devis Tuia |
| 2025 | ICCV | SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images. | Gencer Sumbul, Chang Xu, Emanuele Dalsasso, Devis Tuia |
| 2025 | ICLR | What to align in multimodal contrastive learning? | Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran |
| 2025 | WACV | Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. | Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia |
| 2024 | AAAI | ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. | Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia |
| 2024 | ECCV | POLO - Point-Based, Multi-class Animal Detection. | Giacomo May, Emanuele Dalsasso, Benjamin Kellenberger, Devis Tuia |
| 2024 | ECCV | ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations. | Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia |
| 2024 | ECCV | Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM. | Jonathan Sauder, Devis Tuia |
| 2024 | ECCV | Semantic Segmentation of Benthic Classes in Reef Environments Using a Large Vision Transformer. | Charlotte Sertic, Jonathan Sauder, Devis Tuia |
| 2024 | ECCV | Multi-scale and Multimodal Species Distribution Modeling. | Nina Van Tiel, Robin Zbinden, Emanuele Dalsasso, Benjamin Kellenberger, Loc Pellissier, Devis Tuia |
| 2024 | ECCV | MaskSDM: Adaptive Species Distribution Modeling Through Data Masking. | Robin Zbinden, Nina Van Tiel, Gencer Sumbul, Benjamin Kellenberger, Devis Tuia |
| 2024 | ICLR | Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. | Marc Ruwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia |
| 2024 | IGARSS | Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series. | Jan Pisl, Gaston Lenczner, Devis Tuia, Frank de Morsier |
| 2024 | IGARSS | Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images. | Joo Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut |
| 2024 | IGARSS | Estimating Fine-Grained Population Growth Rates from Coarse Census Data. | John E. Vargas-Muoz, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler, Devis Tuia |
| 2024 | IGARSS | Knowledge-Aware Visual Question Generation for Remote Sensing Images. | Siran Li, Li Mi, Javiera Castillo-Navarro, Devis Tuia |
| 2023 | BMVC | Multi-task prompt-RSVQA to explicitly count objects on aerial images. | Christel Chappuis, Charlotte Sertic, Nicola Santacroce, Javiera Castillo Navarro, Sylvain Lobry, Bertrand Le Saux, Devis Tuia |
| 2023 | IGARSS | Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series. | Jan Pisl, Lloyd Haydn Hughes, Marc Ruwurm, Devis Tuia |
| 2023 | IGARSS | Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models. | Marc Ruwurm, Lloyd Haydn Hughes, Giorgio Pasquali, Corneliu Octavian Dumitru, Devis Tuia |
| 2023 | IGARSS | Text as a Richer Source of Supervision in Semantic Segmentation Tasks. | Valrie Zermatten, Javiera Castillo Navarro, Lloyd Hughes, Tobias Kellenberger, Devis Tuia |
| 2023 | IGARSS | Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management. | Oleg Antropov, Matthieu Molinier, Ridvan Salih Kuzu, Lloyd H. Hughes, Marc Ruwurm, Devis Tuia, Corneliu Octavian Dumitru, Shaojia Ge, Sudipan Saha, Xiao Xiang Zhu |
| 2023 | IGARSS | Improving Few-Shot Object Detection with Object Part Proposals. | Arthur Chevalley, Ciprian Tomoiaga, Marcin Detyniecki, Marc Ruwurm, Devis Tuia |
| 2022 | CVPR | Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering. | Christel Chappuis, Valrie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia |
| 2022 | IGARSS | Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. | Marc Ruwurm, Sherrie Wang, Devis Tuia |
| 2022 | IGARSS | Towards Efficient Correction of Coconut Tree Detection Errors. | John E. Vargas-Muoz, Diego Schibli, Devis Tuia |
| 2022 | IGARSS | Language Transformers for Remote Sensing Visual Question Answering. | Christel Chappuis, Vincent Mendez, Eliot Walt, Sylvain Lobry, Bertrand Le Saux, Devis Tuia |
| 2022 | IGARSS | Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. | Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia |
| 2021 | IGARSS | Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media. | Ilan Havinga, Diego Marcos, Patrick W. Bogaart, Lars Hein, Devis Tuia |
| 2021 | IGARSS | Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. | Alex Levering, Diego Marcos, Devis Tuia |
| 2021 | IGARSS | RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing. | Sylvain Lobry, Begm Demir, Devis Tuia |
| 2020 | ACCV | Contextual Semantic Interpretability. | Diego Marcos, Ruth Fong, Sylvain Lobry, Rmi Flamary, Nicolas Courty, Devis Tuia |
| 2020 | ICML | A Whale's Tail - Finding the Right Whale in an Uncertain World. | Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher |
| 2020 | ICPR | Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. | Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia |
| 2020 | IGARSS | ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY. | Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, Devis Tuia |
| 2020 | IGARSS | Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. | Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu |
| 2020 | IGARSS | Interpretable Scenicness from Sentinel-2 Imagery. | Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia |
| 2019 | AISTATS | Optimal Transport for Multi-source Domain Adaptation under Target Shift. | Ievgen Redko, Nicolas Courty, Rmi Flamary, Devis Tuia |
| 2019 | BMVC | Adaptive Compression-based Lifelong Learning. | Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia |
| 2019 | CVPR | When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. | Benjamin Kellenberger, Diego Marcos, Devis Tuia |
| 2019 | IGARSS | Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. | Jesse Murray, Diego Marcos, Devis Tuia |
| 2019 | IGARSS | Interactive Coconut Tree Annotation Using Feature Space Projections. | John E. Vargas-Muoz, Ping Zhou, Alexandre X. Falco, Devis Tuia |
| 2019 | IGARSS | Visual Question Answering From Remote Sensing Images. | Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia |
| 2018 | CVPR | DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images. | Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar |
| 2018 | CVPR | Learning Deep Structured Active Contours End-to-End. | Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun |
| 2018 | ECCV | DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. | Bharath Bhushan Damodaran, Benjamin Kellenberger, Rmi Flamary, Devis Tuia, Nicolas Courty |
| 2018 | IGARSS | A Deep Network Approach to Multitemporal Cloud Detection. | Devis Tuia, Benjamin Kellenberger, Adrin Prez-Suay, Gustau Camps-Valls |
| 2018 | IGARSS | Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. | John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falco, Devis Tuia |
| 2018 | IGARSS | Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. | Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia |
| 2018 | IGARSS | Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. | Luca Maggiolo, Diego Marcos, Gabriele Moser, Devis Tuia |
| 2018 | IGARSS | Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction. | Andrea Marinoni, Paolo Gamba, Daniele De Vecchi, Devis Tuia |
| 2017 | ICCV | Rotation Equivariant Vector Field Networks. | Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia |
| 2017 | IGARSS | Joint height estimation and semantic labeling of monocular aerial images with CNNS. | Shivangi Srivastava, Michele Volpi, Devis Tuia |
| 2017 | IGARSS | Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation. | John E. Vargas-Munoz, Devis Tuia, Jefersson A. dos Santos, Alexandre X. Falco |
| 2017 | IGARSS | Fast animal detection in UAV images using convolutional neural networks. | Benjamin Kellenberger, Michele Volpi, Devis Tuia |
| 2016 | CVPR | Geospatial Correspondences for Multimodal Registration. | Diego Marcos, Raffay Hamid, Devis Tuia |
| 2016 | ICPR | Learning rotation invariant convolutional filters for texture classification. | Diego Marcos, Michele Volpi, Devis Tuia |
| 2016 | IGARSS | Getting pixels and regions to agree with conditional random fields. | Devis Tuia, Michele Volpi, Gabriele Moser |
| 2016 | IGARSS | Semantic labeling of aerial images by learning class-specific object proposals. | Michele Volpi, Devis Tuia |
| 2016 | IGARSS | Optimal transport for data fusion in remote sensing. | Nicolas Courty, Rmi Flamary, Devis Tuia, Thomas Corpetti |
| 2016 | IGARSS | Solving structured segmentation of aerial images as puzzles. | Diego Marcos, Michele Volpi, Devis Tuia |
| 2015 | IGARSS | Individual tree segmentation in deciduous forests using geodesic voting. | Matthew Parkan, Devis Tuia |
| 2015 | IGARSS | To be or not to be convex? A study on regularization in hyperspectral image classification. | Devis Tuia, Rmi Flamary, Michel Barlaud |
| 2015 | IGARSS | Weakly supervised alignment of multisensor images. | Diego Marcos Gonzalez, Gustau Camps-Valls, Devis Tuia |
| 2015 | IGARSS | Large-scale random features for kernel regression. | Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls |
| 2014 | ICPR | Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images. | Julien Rebetez, Devis Tuia, Nicolas Courty |
| 2014 | IGARSS | Non-linear low-rank and sparse representation for hyperspectral image analysis. | Frank de Morsier, Devis Tuia, Maurice Borgeaucft, Volker Gass, Jean-Philippe Thiran |
| 2014 | IGARSS | Crop backscatter modeling and soil moisture estimation with support vector regression. | Jelena Stamenkovic, Paolo Ferrazzoli, Leila Guerriero, Devis Tuia, Jean-Philippe Thiran, Maurice Borgeaud |
| 2014 | IGARSS | Weakly supervised alignment of image manifolds with semantic ties. | Devis Tuia |
| 2014 | ICPR | Unsupervised Alignment of Image Manifolds with Centrality Measures. | Devis Tuia, Michele Volpi, Gustau Camps-Valls |
| 2014 | IGARSS | Spectral adaptation of hyperspectral flight lines using VHR contextual information. | Jan-Pieter Jacobs, Guy Thoonen, Devis Tuia, Gustavo Camps-Valls, Pieter Kempeneers, Paul Scheunders |
| 2014 | IGARSS | Domain adaptation in remote sensing through cross-image synthesis with dictionaries. | Giona Matasci, Frank de Morsier, Mikhail F. Kanevski, Devis Tuia |
| 2013 | ESANN | Multi-view feature extraction for hyperspectral image classification. | Michele Volpi, Giona Matasci, Mikhail F. Kanevski, Devis Tuia |
| 2013 | IGARSS | Multisensor alignment of image manifolds. | Devis Tuia, Maxime Trolliet, Michele Volpi |
| 2013 | IGARSS | Create the relevant spatial filterbank in the hyperspectral jungle. | Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rmi Flamary |
| 2013 | IGARSS | Multi-sensor change detection based on nonlinear canonical correlations. | Michele Volpi, Frank de Morsier, Gustavo Camps-Valls, Mikhail F. Kanevski, Devis Tuia |
| 2013 | ICPRAM | Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification. | Giona Matasci, Lorenzo Bruzzone, Michele Volpi, Devis Tuia, Mikhail F. Kanevski |
| 2013 | IGARSS | Domain adaptation with Hidden Markov Random Fields. | Jan-Pieter Jacobs, Guy Thoonen, Devis Tuia, Gustavo Camps-Valls, Birgen Haest, Paul Scheunders |
| 2013 | IGARSS | Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions. | Giona Matasci, Nathan Longbotham, Fabio Pacifici, Mikhail F. Kanevski, Devis Tuia |
| 2012 | IGARSS | Putting the user into the active learning loop: Towards realistic but efficient photointerpretation. | Devis Tuia, Jordi Muoz-Mar |
| 2012 | IGARSS | Enhanced change detection using nonlinear feature extraction. | Michele Volpi, Giona Matasci, Devis Tuia, Mikhail F. Kanevski |
| 2012 | ICPR | Discovering relevant spatial filterbanks for VHR image classification. | Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rmi Flamary, Alain Rakotomamonjy |
| 2012 | IGARSS | Discovering single classes in remote sensing images with active learning. | Mirco Furlani, Devis Tuia, Jordi Muoz-Mar, Francesca Bovolo, Gustavo Camps-Valls, Lorenzo Bruzzone |
| 2011 | ICASSP | Explicit recursivity into reproducing kernel Hilbert spaces. | Devis Tuia, Gustavo Camps-Valls, Manel Martnez-Ramn |
| 2011 | IGARSS | Improving active learning methods using spatial information. | Edoardo Pasolli, Farid Melgani, Devis Tuia, Fabio Pacifici, William J. Emery |
| 2011 | IGARSS | Large scale semi-supervised image segmentation with active queries. | Devis Tuia, Jordi Muoz-Mar, Gustavo Camps-Valls |
| 2011 | IGARSS | Graph matching for efficient classifiers adaptation. | Devis Tuia, Jordi Muoz-Mar, Jesus Malo |
| 2011 | IGARSS | Unsupervised change detection in the feature space using kernels. | Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail F. Kanevski |
| 2011 | IGARSS | Principal polynomial analysis for remote sensing data processing. | Valero Laparra, Devis Tuia, Sandra Jimnez, Gustavo Camps-Valls, Jesus Malo |
| 2011 | IGARSS | Domain separation for efficient adaptive active learning. | Giona Matasci, Devis Tuia, Mikhail F. Kanevski |
| 2010 | ESANN | Time series input selection using multiple kernel learning. | Loris Foresti, Devis Tuia, Vadim Timonin, Mikhail F. Kanevski |
| 2010 | IGARSS | Cluster-based active learning for compact image classification. | Devis Tuia, Mikhail F. Kanevski, Jordi Muoz-Mar, Gustavo Camps-Valls |
| 2010 | IGARSS | Advanced active sampling for remote sensing image classification. | Michele Volpi, Devis Tuia, Mikhail F. Kanevski |
| 2010 | IGARSS | Estimating biophysical variable dependences with kernels. | Gustavo Camps-Valls, Devis Tuia, Valero Laparra, Jess Malo |
| 2009 | ICANN | Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. | Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, Mikhail F. Kanevski |
| 2009 | ICIP | Recent advances in remote sensing image processing. | Devis Tuia, Gustavo Camps-Valls |
| 2009 | IGARSS | Learning the Relevant Image Features with Multiple Kernels. | Devis Tuia, Giona Matasci, Gustavo Camps-Valls, Mikhail F. Kanevski |
| 2008 | ICCSA | Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps. | Devis Tuia, Christian Kaiser, Antonio Da Cunha, Mikhail F. Kanevski |
| 2008 | IGARSS | Very-High Resolution Image Classification using Morphological Operators and SVM. | Devis Tuia, Fabio Pacifici, Alexei Pozdnoukhov, Christian Kaiser, Domenico Solimini, William J. Emery |
| 2008 | IGARSS | Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling. | Devis Tuia, Frdric Ratle, Fabio Pacifici, Alexei Pozdnoukhov, Mikhail F. Kanevski, Fabio Del Frate, Domenico Solimini, William J. Emery |