Hierarchical sparse representation for dictionary-based classification of hyperspectral images. - Diego Marcos Gonzalez; Frank de Morsier; Giona Matasci; Devis Tuia; Jean-Philippe Thiran (WHISPERS, 2014)

Weakly supervised alignment of multisensor images. - Diego Marcos Gonzalez; Gustau Camps-Valls; Devis Tuia (IGARSS, 2015)

Large-scale random features for kernel regression. - Valero Laparra; Diego Marcos Gonzalez; Devis Tuia; Gustau Camps-Valls (IGARSS, 2015)

Geospatial Correspondences for Multimodal Registration. - Diego Marcos; Raffay Hamid; Devis Tuia (CVPR, 2016)

Learning rotation invariant convolutional filters for texture classification. - Diego Marcos; Michele Volpi; Devis Tuia (ICPR, 2016)

Solving structured segmentation of aerial images as puzzles. - Diego Marcos; Michele Volpi; Devis Tuia (IGARSS, 2016)

Rotation Equivariant Vector Field Networks. - Diego Marcos; Michele Volpi; Nikos Komodakis; Devis Tuia (ICCV, 2017)

Learning Deep Structured Active Contours End-to-End. - Diego Marcos; Devis Tuia; Benjamin Kellenberger; Lisa Zhang; Min Bai; Renjie Liao; Raquel Urtasun (CVPR, 2018)

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. - Benjamin Kellenberger; Diego Marcos; Nicolas Courty; Devis Tuia (IGARSS, 2018)

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Devis Tuia (IGARSS, 2018)

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. Falcão; Devis Tuia (IGARSS, 2018)

Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. - Benjamin Kellenberger; Diego Marcos; Devis Tuia (ECML/PKDD (3), 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)

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. - Benjamin Kellenberger; Diego Marcos; Devis Tuia (CoRR, 2018)

Scale equivariance in CNNs with vector fields. - Diego Marcos; Benjamin Kellenberger; Sylvain Lobry; Devis Tuia (CoRR, 2018)

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. - Benjamin Kellenberger; Diego Marcos; Devis Tuia (CVPR Workshops, 2019)

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. - Diego Marcos; Sylvain Lobry; Devis Tuia (ICCV Workshops, 2019)

Visual Question Answering From Remote Sensing Images. - Sylvain Lobry; Jesse Murray; Diego Marcos; Devis Tuia (IGARSS, 2019)

Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. - Jesse Murray; Diego Marcos; Devis Tuia (IGARSS, 2019)

Novelty detection in very high resolution urban scenes with Density Forests. - Cyril Wendl; Diego Marcos; Devis Tuia (JURSE, 2019)

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. - Benjamin Kellenberger; Diego Marcos; Sylvain Lobry; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2019)

Contextual Semantic Interpretability. - Diego Marcos; Ruth Fong; Sylvain Lobry; Rémi Flamary; Nicolas Courty; Devis Tuia (ACCV (4), 2020)

A Whale's Tail - Finding the Right Whale in an Uncertain World. - Diego Marcos; Jana Kierdorf; Ted Cheeseman; Devis Tuia; Ribana Roscher (xxAI@ICML, 2020)

Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. - Marrit Leenstra; Diego Marcos; Francesca Bovolo; Devis Tuia (ICPR Workshops (7), 2020)

Interpretable Scenicness from Sentinel-2 Imagery. - Alex Levering; Diego Marcos; Sylvain Lobry; Devis Tuia (IGARSS, 2020)

Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. - Adugna G. Mullissa; Diego Marcos; Martin Herold 001; Johannes Reiche (IGARSS, 2020)

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. - Devis Tuia; Diego Marcos; Gustau Camps-Valls (CoRR, 2020)

Concept Discovery for The Interpretation of Landscape Scenicness. - Pim Arendsen; Diego Marcos; Devis Tuia (Mach. Learn. Knowl. Extr., 2020)

RSVQA: Visual Question Answering for Remote Sensing Data. - Sylvain Lobry; Diego Marcos; Jesse Murray; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2020)

Learning Decision Trees Recurrently Through Communication. - Stephan Alaniz; Diego Marcos; Bernt Schiele; Zeynep Akata (CVPR, 2021)

Cross-Modal Learning of Housing Quality in Amsterdam. - Alex Levering; Diego Marcos; Ilan Havinga; Devis Tuia (GeoAI@SIGSPATIAL, 2021)

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 (IGARSS, 2021)

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. - Alex Levering; Diego Marcos; Devis Tuia (IGARSS, 2021)

Abstracting Sketches Through Simple Primitives. - Stephan Alaniz; Massimiliano Mancini; Anjan Dutta 001; Diego Marcos; Zeynep Akata (ECCV (29), 2022)

Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. - Benjamin Kellenberger; Elijah Cole; Diego Marcos; Devis Tuia (IGARSS, 2022)

A weakly supervised framework for high-resolution crop yield forecasts. - Dilli R. Paudel; Diego Marcos; Allard de Wit; Hendrik Boogaard; Ioannis N. Athanasiadis (CoRR, 2022)

Semantic Segmentation of Remote Sensing Images With Sparse Annotations. - Yuansheng Hua; Diego Marcos; Lichao Mou; Xiao Xiang Zhu 001; Devis Tuia (IEEE Geosci. Remote. Sens. Lett., 2022)

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. - Luca Maggiolo; Diego Marcos; Gabriele Moser; Sebastiano B. Serpico; Devis Tuia (IEEE Trans. Geosci. Remote. Sens., 2022)

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. - Adugna G. Mullissa; Diego Marcos; Devis Tuia; Martin Herold 001; Johannes Reiche (IEEE Trans. Geosci. Remote. Sens., 2022)

Attribute Prediction as Multiple Instance Learning. - Diego Marcos; Aike Potze; Wenjia Xu; Devis Tuia; Zeynep Akata (Trans. Mach. Learn. Res., 2022)

Remote Sensing VQA - Low Resolution (RSVQA LR). - Sylvain Lobry; Diego Marcos; Jesse Murray; Devis Tuia (Zenodo, 2022)

Remote Sensing VQA - High Resolution (RSVQA HR). - Sylvain Lobry; Diego Marcos; Jesse Murray; Devis Tuia (Zenodo, 2022)

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. - Christophe Botella; Benjamin Deneu; Diego Marcos Gonzalez; Maximilien Servajean; Théo Larcher; César Leblanc; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2023)

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. - Alexis Joly; Christophe Botella; Lukás Picek; Stefan Kahl; Hervé Goëau; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Rail Chamidullin; Milan Sulc; et al. (CLEF, 2023)

LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Christophe Botella; Diego Marcos; Milan Sulc; Marek Hrúz; Titouan Lorieul; Sara Si-Moussi; Maximilien Servajean; Benjamin Kellenberger; et al. (ECIR (3), 2023)

PDiscoNet: Semantically consistent part discovery for fine-grained recognition. - Robert van der Klis; Stephan Alaniz; Massimiliano Mancini; Cássio Fraga Dantas; Dino Ienco; Zeynep Akata; Diego Marcos (ICCV, 2023)

Masking Strategies for Background Bias Removal in Computer Vision Models. - Ananthu Aniraj; Cássio F. Dantas; Dino Ienco; Diego Marcos (ICCV (Workshops), 2023)

Sparse Linear Concept Discovery Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (ICCV (Workshops), 2023)

Time Series Analysis of Urban Liveability. - Alex Levering; Diego Marcos; Devis Tuia (JURSE, 2023)

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. - Cássio Fraga Dantas; Thalita F. Drumond; Diego Marcos; Dino Ienco (ECML/PKDD (7), 2023)

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. - Cássio F. Dantas; Diego Marcos; Dino Ienco (CoRR, 2023)

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (CoRR, 2023)

Interpretability of deep learning models for crop yield forecasting. - Dilli R. Paudel; Allard de Wit; Hendrik Boogaard; Diego Marcos; Sjoukje A. Osinga; Ioannis N. Athanasiadis (Comput. Electron. Agric., 2023)

Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; Marek Hrúz; et al. (CLEF (2), 2024)

Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2024)

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. - Ivica Obadic; Alex Levering; Lars Pennig; Dário A. B. Oliveira; Diego Marcos; Xiaoxiang Zhu 001 (CVPR Workshops, 2024)

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (ECCV (85), 2024)

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; et al. (ECIR (6), 2024)

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Aayush Dhakal; Nathan Jacobs; Tristan Berchoux (IGARSS, 2024)

Coarse-to-Fine Concept Bottleneck Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (NeurIPS, 2024)

GeoPlant: Spatial Plant Species Prediction Dataset. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Pierre Bonnet; Alexis Joly (NeurIPS, 2024)

Cross-Modal Learning of Housing Quality in Amsterdam. - Alex Levering; Diego Marcos; Devis Tuia (CoRR, 2024)

Fully automatic extraction of morphological traits from the Web: utopia or reality? - Diego Marcos; Robert van de Vlasakker; Ioannis N. Athanasiadis; Pierre Bonnet; Hervé Goëau; Alexis Joly; W. Daniel Kissling; César Leblanc; André S. J. van Proosdij; Konstantinos P. Panousis (CoRR, 2024)

Applying the maximum entropy principle to multi-species neural networks improves species distribution models. - Maxime Ryckewaert; Diego Marcos; Christophe Botella; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CoRR, 2024)

Landscape scenicness prompts. - Alex Levering; Diego Marcos; Nathan Jacobs; Devis Tuia (Zenodo, 2024)

Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy. - Ron van Bree; Diego Marcos; Ioannis N. Athanasiadis (AAAI, 2025)

EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia. - Valérie Zermatten; Javiera Castillo-Navarro; Pallavi Jain 004; Devis Tuia; Diego Marcos (CVPR Workshops, 2025)

LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Lukás Adam; Christophe Botella; Maximilien Servajean; Diego Marcos; César Leblanc; Théo Larcher; Jirí Matas; Klára Janousková; et al. (ECIR (5), 2025)

SenCLIP: Enhancing Zero-Shot Land-Use Mapping for Sentinel-2 with Ground-Level Prompting. - Pallavi Jain 004; Dino Ienco; Roberto Interdonato; Tristan Berchoux; Diego Marcos (WACV, 2025)

ProMM-RS: Exploring Probabilistic Learning for Multi-Modal Remote Sensing Image Representations. - Nicolas Houdré; Diego Marcos; Dino Ienco; Laurent Wendling; Camille Kurtz; Sylvain Lobry (WACV (Workshops), 2025)

Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. - Hugo Porta; Emanuele Dalsasso; Diego Marcos; Devis Tuia (WACV, 2025)

Inherently Faithful Attention Maps for Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (CoRR, 2025)

Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars. - Hugo Riffaud de Turckheim; Sylvain Lobry; Roberto Interdonato; Diego Marcos (CoRR, 2025)

TimeSenCLIP: A Vision-Language Model for Remote Sensing Using Single-Pixel Time Series. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Tristan Berchoux (CoRR, 2025)