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Diego Marcos
Diego Marcos Gonzalez
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2020 – today
- 2024
- [c42]Alexis Joly
, Lukás Picek
Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. CLEF (2) 2024: 183-207 - [c41]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: 1966-1977 - [c40]Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu:
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CVPR Workshops 2024: 575-584 - [c39]Ananthu Aniraj, Cássio Fraga Dantas
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. ECCV (85) 2024: 256-272 - [c38]Alexis Joly
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) 2024: 19-27 - [c37]Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux:
Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS 2024: 319-323 - [i27]Alex Levering, Diego Marcos, Devis Tuia:
Cross-Modal Learning of Housing Quality in Amsterdam. CoRR abs/2403.08915 (2024) - [i26]Ivica Obadic, Alex Levering, Lars Pennig, Dário A. B. Oliveira, Diego Marcos, Xiaoxiang Zhu:
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. CoRR abs/2404.09768 (2024) - [i25]Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos:
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. CoRR abs/2407.04538 (2024) - [i24]Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly:
GeoPlant: Spatial Plant Species Prediction Dataset. CoRR abs/2408.13928 (2024) - [i23]Hugo Porta, Emanuele Dalsasso, Diego Marcos, Devis Tuia:
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation. CoRR abs/2409.09497 (2024) - [i22]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:
Fully automatic extraction of morphological traits from the Web: utopia or reality? CoRR abs/2409.17179 (2024) - 2023
- [j8]Dilli R. Paudel
Interpretability of deep learning models for crop yield forecasting. Comput. Electron. Agric. 206: 107663 (2023) - [c36]Alexis Joly
Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. CLEF 2023: 416-439 - [c35]Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joaquim Estopinan, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. CLEF (Working Notes) 2023: 1954-1971 - [c34]Alexis Joly
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) 2023: 568-576 - [c33]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV 2023: 1866-1876 - [c32]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. ICCV (Workshops) 2023: 2759-2763 - [c31]Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) 2023: 4399-4407 - [c30]Alex Levering, Diego Marcos, Devis Tuia:
Time Series Analysis of Urban Liveability. JURSE 2023: 1-4 - [c29]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: 20-36 - [i21]Cássio F. Dantas, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR abs/2301.01520 (2023) - [i20]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. CoRR abs/2308.10782 (2023) - [i19]Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. CoRR abs/2308.12127 (2023) - [i18]Alex Levering, Diego Marcos, Devis Tuia:
Time Series Analysis of Urban Liveability. CoRR abs/2309.00594 (2023) - [i17]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 abs/2309.03173 (2023) - [i16]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR abs/2310.02116 (2023) - 2022
- [j7]Yuansheng Hua
Semantic Segmentation of Remote Sensing Images With Sparse Annotations. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j6]Luca Maggiolo, Diego Marcos
A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j5]Adugna G. Mullissa
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j4]Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata:
Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c28]Stephan Alaniz
Abstracting Sketches Through Simple Primitives. ECCV (29) 2022: 396-412 - [c27]Benjamin Kellenberger, Elijah Cole, Diego Marcos, Devis Tuia:
Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning. IGARSS 2022: 5085-5088 - [d2]Sylvain Lobry
Remote Sensing VQA - Low Resolution (RSVQA LR). Zenodo, 2022 - [d1]Sylvain Lobry
Remote Sensing VQA - High Resolution (RSVQA HR). Zenodo, 2022 - [i15]Dilli R. Paudel
A weakly supervised framework for high-resolution crop yield forecasts. CoRR abs/2205.09016 (2022) - [i14]Stephan Alaniz, Massimiliano Mancini
Abstracting Sketches through Simple Primitives. CoRR abs/2207.13543 (2022) - 2021
- [c26]Stephan Alaniz, Diego Marcos, Bernt Schiele
Learning Decision Trees Recurrently Through Communication. CVPR 2021: 13518-13527 - [c25]Alex Levering, Diego Marcos, Ilan Havinga, Devis Tuia:
Cross-Modal Learning of Housing Quality in Amsterdam. GeoAI@SIGSPATIAL 2021: 1-4 - [c24]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: 188-191 - [c23]Alex Levering, Diego Marcos, Devis Tuia:
Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks. IGARSS 2021: 2094-2097 - [i13]Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. CoRR abs/2101.03492 (2021) - [i12]Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia:
Self-supervised pre-training enhances change detection in Sentinel-2 imagery. CoRR abs/2101.08122 (2021) - 2020
- [j3]Pim Arendsen, Diego Marcos, Devis Tuia
Concept Discovery for The Interpretation of Landscape Scenicness. Mach. Learn. Knowl. Extr. 2(4): 397-413 (2020) - [j2]Sylvain Lobry
RSVQA: Visual Question Answering for Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 58(12): 8555-8566 (2020) - [c22]Diego Marcos
Contextual Semantic Interpretability. ACCV (4) 2020: 351-368 - [c21]Diego Marcos
A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML 2020: 297-313 - [c20]Marrit Leenstra, Diego Marcos
Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery. ICPR Workshops (7) 2020: 578-590 - [c19]Adugna G. Mullissa
Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. IGARSS 2020: 700-703 - [c18]Alex Levering, Diego Marcos
Interpretable Scenicness from Sentinel-2 Imagery. IGARSS 2020: 3983-3986 - [i11]Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. CoRR abs/2003.07333 (2020) - [i10]Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia:
Contextual Semantic Interpretability. CoRR abs/2009.08720 (2020) - [i9]Devis Tuia, Diego Marcos, Gustau Camps-Valls:
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. CoRR abs/2012.04469 (2020)
2010 – 2019
- 2019
- [j1]Benjamin Kellenberger
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): 9524-9533 (2019) - [c17]Benjamin Kellenberger, Diego Marcos
When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images. CVPR Workshops 2019: 1414-1422 - [c16]Diego Marcos
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. ICCV Workshops 2019: 4207-4215 - [c15]Sylvain Lobry, Jesse Murray, Diego Marcos
Visual Question Answering From Remote Sensing Images. IGARSS 2019: 4951-4954 - [c14]Jesse Murray, Diego Marcos, Devis Tuia:
Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs. IGARSS 2019: 5240-5243 - [c13]Cyril Wendl, Diego Marcos
Novelty detection in very high resolution urban scenes with Density Forests. JURSE 2019: 1-4 - [i8]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 abs/1907.07319 (2019) - [i7]Diego Marcos, Sylvain Lobry, Devis Tuia:
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs. CoRR abs/1909.08442 (2019) - 2018
- [c12]Diego Marcos
Learning Deep Structured Active Contours End-to-End. CVPR 2018: 8877-8885 - [c11]John E. Vargas-Munoz, Diego Marcos
Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence. IGARSS 2018: 1284-1287 - [c10]Luca Maggiolo, Diego Marcos
Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs. IGARSS 2018: 2099-2102 - [c9]Benjamin Kellenberger, Diego Marcos
Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. IGARSS 2018: 3643-3646 - [c8]Benjamin Kellenberger
Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. ECML/PKDD (3) 2018: 630-634 - [i6]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 abs/1803.06253 (2018) - [i5]Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun:
Learning deep structured active contours end-to-end. CoRR abs/1803.06329 (2018) - [i4]Benjamin Kellenberger, Diego Marcos, Devis Tuia:
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. CoRR abs/1806.11368 (2018) - [i3]Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia:
Scale equivariance in CNNs with vector fields. CoRR abs/1807.11783 (2018) - 2017
- [c7]Diego Marcos
Rotation Equivariant Vector Field Networks. ICCV 2017: 5058-5067 - 2016
- [c6]Diego Marcos, Raffay Hamid, Devis Tuia:
Geospatial Correspondences for Multimodal Registration. CVPR 2016: 5091-5100 - [c5]Diego Marcos
Learning rotation invariant convolutional filters for texture classification. ICPR 2016: 2012-2017 - [c4]Diego Marcos
Solving structured segmentation of aerial images as puzzles. IGARSS 2016: 3346-3349 - [i2]Diego Marcos, Michele Volpi, Devis Tuia:
Learning rotation invariant convolutional filters for texture classification. CoRR abs/1604.06720 (2016) - [i1]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation equivariant vector field networks. CoRR abs/1612.09346 (2016) - 2015
- [c3]Valero Laparra
Large-scale random features for kernel regression. IGARSS 2015: 17-20 - [c2]Diego Marcos Gonzalez, Gustau Camps-Valls
Weakly supervised alignment of multisensor images. IGARSS 2015: 2588-2591 - 2014
- [c1]Diego Marcos Gonzalez, Frank de Morsier, Giona Matasci, Devis Tuia, Jean-Philippe Thiran
Hierarchical sparse representation for dictionary-based classification of hyperspectral images. WHISPERS 2014: 1-4
Coauthor Index
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last updated on 2024-12-23 20:33 CET by the dblp team
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