Diego Marcos - RankMe

92 papers A* 8A 2B 1C 12Journal 46Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models. CoRR Konstantinos P. Panousis, Diego Marcos
2026	J	`jnl`	Spatial Context Improves the Integration of Text with Remote Sensing for Mapping Environmental Variables. CoRR Valérie Zermatten, Chiara Vanalli, Gencer Sumbul, Diego Marcos, Devis Tuia
2025	J	`jnl`	Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars. CoRR Hugo Riffaud de Turckheim, Sylvain Lobry, Roberto Interdonato, Diego Marcos
2025	—	`conf`	EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia. CVPR Workshops Valérie Zermatten, Javiera Castillo-Navarro, Pallavi Jain, Devis Tuia, Diego Marcos
2025	J	`jnl`	EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia. CoRR Valérie Zermatten, Javiera Castillo-Navarro, Pallavi Jain, Devis Tuia, Diego Marcos
2025	A*	`conf`	Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy. AAAI Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis
2025	J	`jnl`	Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy. CoRR Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis
2025	J	`jnl`	Inherently Faithful Attention Maps for Vision Transformers. CoRR Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos
2025	—	`conf`	LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. ECIR (5) Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Lukás Adam, Christophe Botella, Maximilien Servajean, Diego Marcos, César Leblanc, Théo Larcher, Jirí Matas, Klára Janousková, Vojtech Cermák, Kostas Papafitsoros, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Pierre Bonnet, Henning Müller
2025	A	`conf`	Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. WACV Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia
2025	J	`jnl`	Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. CoRR Christophe Botella, Benjamin Deneu, Diego Marcos, Maximilien Servajean, Théo Larcher, César Leblanc, Joaquim Estopinan, Pierre Bonnet, Alexis Joly
2025	—	`conf`	ProMM-RS: Exploring Probabilistic Learning for Multi-Modal Remote Sensing Image Representations. WACV (Workshops) Nicolas Houdré, Diego Marcos, Dino Ienco, Laurent Wendling, Camille Kurtz, Sylvain Lobry
2025	J	`jnl`	RAMEN: Resolution-Adjustable Multimodal Encoder for Earth Observation. CoRR Nicolas Houdré, Diego Marcos, Hugo Riffaud de Turckheim, Dino Ienco, Laurent Wendling, Camille Kurtz, Sylvain Lobry
2025	A	`conf`	SenCLIP: Enhancing Zero-Shot Land-Use Mapping for Sentinel-2 with Ground-Level Prompting. WACV Pallavi Jain, Dino Ienco, Roberto Interdonato, Tristan Berchoux, Diego Marcos
2025	J	`jnl`	TimeSenCLIP: A Vision-Language Model for Remote Sensing Using Single-Pixel Time Series. CoRR Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Tristan Berchoux
2024	C	`conf`	Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux
2024	J	`jnl`	Applying the maximum entropy principle to multi-species neural networks improves species distribution models. CoRR Maxime Ryckewaert, Diego Marcos, Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly
2024	A*	`conf`	Coarse-to-Fine Concept Bottleneck Models. NeurIPS Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2024	—	`conf`	Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CVPR Workshops Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu
2024	J	`jnl`	Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CoRR Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu
2024	J	`jnl`	Cross-Modal Learning of Housing Quality in Amsterdam. CoRR Alex Levering, Diego Marcos, Devis Tuia
2024	J	`jnl`	Fully automatic extraction of morphological traits from the Web: utopia or reality? CoRR 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
2024	A*	`conf`	GeoPlant: Spatial Plant Species Prediction Dataset. NeurIPS Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly
2024	J	`jnl`	GeoPlant: Spatial Plant Species Prediction Dataset. CoRR Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly
2024	—	`conf`	LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) 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
2024	J	`jnl`	Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. CoRR Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia
2024	—	`conf`	Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. CLEF (Working Notes) Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Pierre Bonnet, Alexis Joly
2024	—	`conf`	Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. CLEF (2) Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller
2024	—	`conf`	PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. ECCV (85) Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos
2024	J	`jnl`	PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. CoRR Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
2024	J	`jnl`	SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting. CoRR Pallavi Jain, Dino Ienco, Roberto Interdonato, Tristan Berchoux, Diego Marcos
2023	J	`jnl`	Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR Cássio F. Dantas, Diego Marcos, Dino Ienco
2023	—	`conf`	Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. ECML/PKDD (7) Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco
2023	J	`jnl`	Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2023	J	`jnl`	Interpretability of deep learning models for crop yield forecasting. Comput. Electron. Agric. Dilli R. Paudel, Allard de Wit, Hendrik Boogaard, Diego Marcos, Sjoukje A. Osinga, Ioannis N. Athanasiadis
2023	—	`conf`	LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) 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
2023	—	`conf`	Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
2023	J	`jnl`	Masking Strategies for Background Bias Removal in Computer Vision Models. CoRR Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos
2023	—	`conf`	Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. CLEF 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
2023	A*	`conf`	PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
2023	J	`jnl`	PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
2023	—	`conf`	Sparse Linear Concept Discovery Models. ICCV (Workshops) Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2023	J	`jnl`	Sparse Linear Concept Discovery Models. CoRR Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2023	—	`conf`	Time Series Analysis of Urban Liveability. JURSE Alex Levering, Diego Marcos, Devis Tuia
2023	J	`jnl`	Time Series Analysis of Urban Liveability. CoRR Alex Levering, Diego Marcos, Devis Tuia
2022	J	`jnl`	A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. IEEE Trans. Geosci. Remote. Sens. Luca Maggiolo, Diego Marcos, Gabriele Moser, Sebastiano B. Serpico, Devis Tuia
2022	J	`jnl`	A weakly supervised framework for high-resolution crop yield forecasts. CoRR Dilli R. Paudel, Diego Marcos, Allard de Wit, Hendrik Boogaard, Ioannis N. Athanasiadis
2022	—	`conf`	Abstracting Sketches Through Simple Primitives. ECCV (29) Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
2022	J	`jnl`	Abstracting Sketches through Simple Primitives. CoRR Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
2022	J	`jnl`	Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata
2022	J	`jnl`	Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia
2022	C	`conf`	Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia
2022	J	`jnl`	deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. IEEE Trans. Geosci. Remote. Sens. Adugna G. Mullissa, Diego Marcos, Devis Tuia, Martin Herold, Johannes Reiche
2021	—	`conf`	Cross-Modal Learning of Housing Quality in Amsterdam. GeoAI@SIGSPATIAL Alex Levering, Diego Marcos, Ilan Havinga, Devis Tuia
2021	C	`conf`	Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media. IGARSS Ilan Havinga, Diego Marcos, Patrick W. Bogaart, Lars Hein, Devis Tuia
2021	A*	`conf`	Learning Decision Trees Recurrently Through Communication. CVPR Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
2021	C	`conf`	Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. IGARSS Alex Levering, Diego Marcos, Devis Tuia
2021	J	`jnl`	Self-supervised pre-training enhances change detection in Sentinel-2 imagery. CoRR Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia
2021	J	`jnl`	Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia
2020	—	`conf`	A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher
2020	J	`jnl`	Concept Discovery for The Interpretation of Landscape Scenicness. Mach. Learn. Knowl. Extr. Pim Arendsen, Diego Marcos, Devis Tuia
2020	—	`conf`	Contextual Semantic Interpretability. ACCV (4) Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	J	`jnl`	Contextual Semantic Interpretability. CoRR Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	C	`conf`	Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. IGARSS Adugna G. Mullissa, Diego Marcos, Martin Herold, Johannes Reiche
2020	C	`conf`	Interpretable Scenicness from Sentinel-2 Imagery. IGARSS Alex Levering, Diego Marcos, Sylvain Lobry, Devis Tuia
2020	J	`jnl`	Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR Devis Tuia, Diego Marcos, Gustau Camps-Valls
2020	J	`jnl`	RSVQA: Visual Question Answering for Remote Sensing Data. CoRR Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia
2020	J	`jnl`	RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia
2020	—	`conf`	Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. ICPR Workshops (7) Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia
2019	J	`jnl`	Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning. IEEE Trans. Geosci. Remote. Sens. Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
2019	J	`jnl`	Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning. CoRR Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
2019	—	`conf`	Novelty detection in very high resolution urban scenes with Density Forests. JURSE Cyril Wendl, Diego Marcos, Devis Tuia
2019	—	`conf`	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. ICCV Workshops Diego Marcos, Sylvain Lobry, Devis Tuia
2019	J	`jnl`	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. CoRR Diego Marcos, Sylvain Lobry, Devis Tuia
2019	C	`conf`	Visual Question Answering From Remote Sensing Images. IGARSS Sylvain Lobry, Jesse Murray, Diego Marcos, Devis Tuia
2019	—	`conf`	When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops Benjamin Kellenberger, Diego Marcos, Devis Tuia
2019	C	`conf`	Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. IGARSS Jesse Murray, Diego Marcos, Devis Tuia
2018	—	`conf`	Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) Benjamin Kellenberger, Diego Marcos, Devis Tuia
2018	C	`conf`	Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS John E. Vargas-Munoz, Diego Marcos, Sylvain Lobry, Jefersson A. dos Santos, Alexandre X. Falcão, Devis Tuia
2018	C	`conf`	Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS Benjamin Kellenberger, Diego Marcos, Nicolas Courty, Devis Tuia
2018	J	`jnl`	Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR Benjamin Kellenberger, Diego Marcos, Devis Tuia
2018	C	`conf`	Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. IGARSS Luca Maggiolo, Diego Marcos, Gabriele Moser, Devis Tuia
2018	J	`jnl`	Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models. CoRR Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia
2018	A*	`conf`	Learning Deep Structured Active Contours End-to-End. CVPR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	J	`jnl`	Learning deep structured active contours end-to-end. CoRR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	J	`jnl`	Scale equivariance in CNNs with vector fields. CoRR Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia
2017	A*	`conf`	Rotation Equivariant Vector Field Networks. ICCV Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	A*	`conf`	Geospatial Correspondences for Multimodal Registration. CVPR Diego Marcos, Raffay Hamid, Devis Tuia
2016	B	`conf`	Learning rotation invariant convolutional filters for texture classification. ICPR Diego Marcos, Michele Volpi, Devis Tuia
2016	J	`jnl`	Learning rotation invariant convolutional filters for texture classification. CoRR Diego Marcos, Michele Volpi, Devis Tuia
2016	J	`jnl`	Rotation equivariant vector field networks. CoRR Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	C	`conf`	Solving structured segmentation of aerial images as puzzles. IGARSS Diego Marcos, Michele Volpi, Devis Tuia