Diego Marcos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 66

Top Topics

Weakly Supervised

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Alex Levering, Diego Marcos, Devis Tuia
Cross-Modal Learning of Housing Quality in Amsterdam. CoRR (2024)
Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Pierre Bonnet, Alexis Joly
Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. CLEF (Working Notes) (2024)
Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. CoRR (2024)
Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Jirí Matas, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Andrew M. Durso, Ivan Eggel, Pierre Bonnet, Henning Müller
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) (2024)
Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CoRR (2024)
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Sparse Linear Concept Discovery Models. CoRR (2023)
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR (2023)
Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. ECML/PKDD (7) (2023)
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, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) (2023)
Alex Levering, Diego Marcos, Devis Tuia
Time Series Analysis of Urban Liveability. JURSE (2023)
Cássio F. Dantas, Diego Marcos, Dino Ienco
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR (2023)
Alex Levering, Diego Marcos, Devis Tuia
Time Series Analysis of Urban Liveability. CoRR (2023)
Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos
Masking Strategies for Background Bias Removal in Computer Vision Models. CoRR (2023)
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Sparse Linear Concept Discovery Models. ICCV (Workshops) (2023)
Alexis Joly, Christophe Botella, Lukás Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Rail Chamidullin, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller
Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. CLEF (2023)
Dilli R. Paudel, Allard de Wit, Hendrik Boogaard, Diego Marcos, Sjoukje A. Osinga, Ioannis N. Athanasiadis
Interpretability of deep learning models for crop yield forecasting. Comput. Electron. Agric. 206 (2023)
Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) (2023)
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR (2023)
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV (2023)
Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
Abstracting Sketches Through Simple Primitives. ECCV (24) (2022)
Luca Maggiolo, Diego Marcos, Gabriele Moser, Sebastiano B. Serpico, Devis Tuia
A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
Abstracting Sketches through Simple Primitives. CoRR (2022)
Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata
Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. 2022 (2022)
Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia
Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Adugna G. Mullissa, Diego Marcos, Devis Tuia, Martin Herold, Johannes Reiche
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Dilli R. Paudel, Diego Marcos, Allard de Wit, Hendrik Boogaard, Ioannis N. Athanasiadis
A weakly supervised framework for high-resolution crop yield forecasts. CoRR (2022)
Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia
Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS (2022)
Ilan Havinga, Diego Marcos, Patrick W. Bogaart, Lars Hein, Devis Tuia
Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media. IGARSS (2021)
Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
Learning Decision Trees Recurrently Through Communication. CVPR (2021)
Alex Levering, Diego Marcos, Devis Tuia
Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. IGARSS (2021)
Alex Levering, Diego Marcos, Ilan Havinga, Devis Tuia
Cross-Modal Learning of Housing Quality in Amsterdam. GeoAI@SIGSPATIAL (2021)
Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia
Self-supervised pre-training enhances change detection in Sentinel-2 imagery. CoRR (2021)
Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR (2021)
Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia
Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. ICPR Workshops (7) (2020)
Devis Tuia, Diego Marcos, Gustau Camps-Valls
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR (2020)
Pim Arendsen, Diego Marcos, Devis Tuia
Concept Discovery for The Interpretation of Landscape Scenicness. Mach. Learn. Knowl. Extr. 2 (4) (2020)
Adugna G. Mullissa, Diego Marcos, Martin Herold, Johannes Reiche
Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. IGARSS (2020)
Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia
Interpretable Scenicness from Sentinel-2 Imagery. IGARSS (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. CoRR (2020)
Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia
RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 58 (12) (2020)
Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher
A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML (2020)
Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia
RSVQA: Visual Question Answering for Remote Sensing Data. CoRR (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. ACCV (4) (2020)
Cyril Wendl, Diego Marcos, Devis Tuia
Novelty detection in very high resolution urban scenes with Density Forests. JURSE (2019)
Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia
Visual Question Answering From Remote Sensing Images. IGARSS (2019)
Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. 57 (12) (2019)
Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR (2019)
Jesse Murray, Diego Marcos, Devis Tuia
Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. IGARSS (2019)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops (2019)
Diego Marcos, Sylvain Lobry, Devis Tuia
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. CoRR (2019)
Diego Marcos, Sylvain Lobry, Devis Tuia
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. ICCV Workshops (2019)
Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia
Scale equivariance in CNNs with vector fields. CoRR (2018)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) (2018)
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
Learning deep structured active contours end-to-end. CoRR (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)
John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia
Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS (2018)
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
Learning Deep Structured Active Contours End-to-End. CVPR (2018)
Benjamin Kellenberger, Diego Marcos, Devis Tuia
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR (2018)
Luca Maggiolo, Diego Marcos, Gabriele Moser, Devis Tuia
Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. IGARSS (2018)
Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS (2018)
Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
Rotation Equivariant Vector Field Networks. ICCV (2017)
Diego Marcos, Raffay Hamid, Devis Tuia
Geospatial Correspondences for Multimodal Registration. CVPR (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)
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)