Diego Marcos

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All published works

Action	Title	Year	Authors
+ PDF Chat	Applying the maximum entropy principle to multi-species neural networks improves species distribution models	2024	Maxime Ryckewaert Diego Marcos Christophe Botella Maximilien Servajean Pierre Bonnet Alexis Joly
+ PDF Chat	SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting	2024	Pallavi Jain Dino Ienco Roberto Interdonato Tristan Berchoux Diego Marcos
+ PDF Chat	CURE: Clinical Understanding & Retrieval Evaluation	2024	Nadia Sheikh Anne-Laure Jousse Diego Marcos Akintunde Oladipo O. Henri Rousseau Jimmy Lin
+	PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers	2024	Ananthu Aniraj Cássio F. Dantas Dino Ienco Diego Marcos
+ PDF Chat	Fully automatic extraction of morphological traits from the Web: utopia or reality?	2024	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
+ PDF Chat	Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation	2024	Hugo Porta Emanuele Dalsasso Diego Marcos Tuia Devis
+ PDF Chat	GeoPlant: Spatial Plant Species Prediction Dataset	2024	Lukáš Picek Christophe Botella Maximilien Servajean César Leblanc Rémi Palard Théo Larcher Benjamin Deneu Diego Marcos Pierre Bonnet Alexis Joly
+ PDF Chat	Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes	2024	Ivica Obadić Alex Levering Lars Pennig Dário Augusto Borges Oliveira Diego Marcos Xiao Xiang Zhu
+ PDF Chat	Masking Strategies for Background Bias Removal in Computer Vision Models	2023	Ananthu Aniraj Cássio F. Dantas Dino Ienco Diego Marcos
+ PDF Chat	Sparse Linear Concept Discovery Models	2023	Konstantinos P. Panousis Dino Ienco Diego Marcos
+ PDF Chat	PDiscoNet: Semantically consistent part discovery for fine-grained recognition	2023	Robert van der Klis Stephan Alaniz Massimiliano Mancini Cássio F. Dantas Dino Ienco Zeynep Akata Diego Marcos
+ PDF Chat	A weakly supervised framework for high-resolution crop yield forecasts	2023	Dilli Paudel Diego Marcos Allard de Wit Hendrik Boogaard Ioannis N. Athanasiadis
+ PDF Chat	Time Series Analysis of Urban Liveability	2023	Alex Levering Diego Marcos Devis Tuia
+	Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy	2023	Cássio F. Dantas Diego Marcos Dino Ienco
+	The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe	2023	Christophe Botella Benjamin Deneu Diego Marcos Maximilien Servajean Joaquim Estopinan Théo Larcher César Leblanc Pierre Bonnet Alexis Joly
+	Sparse Linear Concept Discovery Models	2023	Konstantinos P. Panousis Dino Ienco Diego Marcos
+	PDiscoNet: Semantically consistent part discovery for fine-grained recognition	2023	Robert van der Klis Stephan Alaniz Massimiliano Mancini Cássio F. Dantas Dino Ienco Zeynep Akata Diego Marcos
+	Hierarchical Concept Discovery Models: A Concept Pyramid Scheme	2023	Konstantinos P. Panousis Dino Ienco Diego Marcos
+	A weakly supervised framework for high-resolution crop yield forecasts	2022	Dilli Paudel Diego Marcos Allard de Wit Hendrik Boogaard Ioannis N. Athanasiadis
+	Abstracting Sketches through Simple Primitives	2022	Stephan Alaniz Massimiliano Mancini Anjan Dutta Diego Marcos Zeynep Akata
+ PDF Chat	Abstracting Sketches Through Simple Primitives	2022	Stephan Alaniz Massimiliano Mancini Anjan Dutta Diego Marcos Zeynep Akata
+ PDF Chat	Cross-Modal Learning of Housing Quality in Amsterdam	2021	Alex Levering Diego Marcos Ilan Havinga Devis Tuia
+ PDF Chat	Learning Decision Trees Recurrently Through Communication	2021	Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata
+	Semantic Segmentation of Remote Sensing Images With Sparse Annotations	2021	Yuansheng Hua Diego Marcos Lichao Mou Xiao Xiang Zhu Devis Tuia
+	Self-supervised pre-training enhances change detection in Sentinel-2 imagery	2021	Marrit Leenstra Diego Marcos Francesca Bovolo Devis Tuia
+	Semantic Segmentation of Remote Sensing Images with Sparse Annotations	2021	Yuansheng Hua Diego Marcos Lichao Mou Xiao Xiang Zhu Devis Tuia
+ PDF Chat	Contextual Semantic Interpretability	2021	Diego Marcos Ruth Fong Sylvain Lobry Rémi Flamary Nicolas Courty Devis Tuia
+ PDF Chat	Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery	2021	Marrit Leenstra Diego Marcos Francesca Bovolo Devis Tuia
+	Self-supervised pre-training enhances change detection in Sentinel-2 imagery	2021	Marrit Leenstra Diego Marcos Francesca Bovolo Devis Tuia
+ PDF Chat	deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling	2020	Adugna Mullissa Diego Marcos Devis Tuia Martin Herold Johannes Reiche
+ PDF Chat	Contextual Semantic Interpretability	2020	Diego Marcos Ruth Fong Sylvain Lobry Rémi Flamary Nicolas Courty Devis Tuia
+ PDF Chat	RSVQA: Visual Question Answering for Remote Sensing Data	2020	Sylvain Lobry Diego Marcos Jesse Murray Devis Tuia
+	Contextual Semantic Interpretability	2020	Diego Marcos Ruth Fong Sylvain Lobry Rémi Flamary Nicolas Courty Devis Tuia
+ PDF Chat	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs	2019	Diego Marcos Sylvain Lobry Devis Tuia
+	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs	2019	Diego Marcos Sylvain Lobry Devis Tuia
+ PDF Chat	Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning	2019	Benjamin Kellenberger Diego Marcos Sylvain Lobry Devis Tuia
+	Learning Decision Trees Recurrently Through Communication	2019	Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata
+	Semantically Interpretable Activation Maps: what-where-how explanations within CNNs	2019	Diego Marcos Sylvain Lobry Devis Tuia
+	Learning Decision Trees Recurrently Through Communication	2019	Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata
+ PDF Chat	Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning	2018	Benjamin Kellenberger Diego Marcos Devis Tuia
+ PDF Chat	Learning Deep Structured Active Contours End-to-End	2018	Zhang Lisa Min Bai Renjie Liao Raquel Urtasun Diego Marcos Devis Tuia Benjamin Kellenberger
+	Learning deep structured active contours end-to-end	2018	Diego Marcos Devis Tuia Benjamin Kellenberger Lisa Zhang Min Bai Renjie Liao Raquel Urtasun
+ PDF Chat	Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models	2018	Diego Marcos Michele Volpi Benjamin Kellenberger Devis Tuia
+	Scale equivariance in CNNs with vector fields	2018	Diego Marcos Benjamin Kellenberger Sylvain Lobry Devis Tuia
+	Learning deep structured active contours end-to-end	2018	Zhang Lisa Min Bai Renjie Liao Raquel Urtasun Diego Marcos Tuia Devis Kellenberger Benjamin
+ PDF Chat	Rotation Equivariant Vector Field Networks	2017	Diego Marcos Michele Volpi Nikos Komodakis Devis Tuia
+ PDF Chat	Learning rotation invariant convolutional filters for texture classification	2016	Diego Marcos Michele Volpi Devis Tuia
+ PDF Chat	Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization	2016	Devis Tuia Diego Marcos Gustau Camps‐Valls

Common Coauthors

Coauthor	Papers Together
Devis Tuia	24
Dino Ienco	9
Sylvain Lobry	9
Zeynep Akata	7
Stephan Alaniz	6
Benjamin Kellenberger	6
Cássio F. Dantas	5
Konstantinos P. Panousis	4
Massimiliano Mancini	4
Pierre Bonnet	4
Maximilien Servajean	3
Min Bai	3
Alex Levering	3
Michele Volpi	3
Marrit Leenstra	3
Francesca Bovolo	3
Bernt Schiele	3
Ruth Fong	3
Alexis Joly	3
Xiao Xiang Zhu	3
Ioannis N. Athanasiadis	3
Christophe Botella	3
Nicolas Courty	3
Renjie Liao	3
Rémi Flamary	3
Raquel Urtasun	3
César Leblanc	3
Dilli Paudel	2
H.L. Boogaard	2
Tuia Devis	2
Zhang Lisa	2
Allard de Wit	2
Yuansheng Hua	2
Robert van der Klis	2
Ananthu Aniraj	2
Anjan Dutta	2
Théo Larcher	2
Lichao Mou	2
Nadia Sheikh	1
Emanuele Dalsasso	1
Johannes Reiche	1
Kellenberger Benjamin	1
Jesse Murray	1
Anne-Laure Jousse	1
Adugna Mullissa	1
Ivica Obadić	1
W. Daniel Kissling	1
Gustau Camps‐Valls	1
Roberto Interdonato	1
Nikos Komodakis	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+ PDF Chat	Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources	2017	Xiao Xiang Zhu Devis Tuia Lichao Mou Gui-Song Xia Liangpei Zhang Feng Xu Friedrich Fraundorfer	6
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+ PDF Chat	Grounding Visual Explanations	2018	Lisa Anne Hendricks Ronghang Hu Trevor Darrell Zeynep Akata	4
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	4
+ PDF Chat	TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks	2016	Dmitry Laptev Nikolay Savinov Joachim M. Buhmann Marc Pollefeys	4
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	4
+ PDF Chat	Multimodal Explanations: Justifying Decisions and Pointing to the Evidence	2018	Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach	4
+ PDF Chat	Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks	2016	Michele Volpi Devis Tuia	4
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	4
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	3
+ PDF Chat	Hypercolumns for object segmentation and fine-grained localization	2015	Bharath Hariharan Pablo Arbeláez Ross Girshick Jitendra Malik	3
+ PDF Chat	Interpretable Convolutional Neural Networks	2018	Quanshi Zhang Ying Wu Song‐Chun Zhu	3
+	Oriented Response Networks	2017	Yanzhao Zhou Qixiang Ye Qiang Qiu Jianbin Jiao	3
+	Learning Invariant Representations with Local Transformations	2012	Kihyuk Sohn Honglak Lee	3
+	High-Resolution Aerial Image Labeling With Convolutional Neural Networks	2017	Emmanuel Maggiori Yuliya Tarabalka Guillaume Charpiat Pierre Alliez	3
+	Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations	2018	Michael Harradon Jeff Druce Brian E. Ruttenberg	3
+ PDF Chat	Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances	2016	Devis Tuia Claudio Persello Lorenzo Bruzzone	3
+ PDF Chat	Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data.	2021	Devis Tuia Claudio Persello Lorenzo Bruzzone	3
+ PDF Chat	Explaining Explanations: An Overview of Interpretability of Machine Learning	2018	Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal	3
+ PDF Chat	Generating Visual Explanations	2016	Lisa Anne Hendricks Zeynep Akata Marcus Rohrbach Jeff Donahue Bernt Schiele Trevor Darrell	3
+	Interpretability Beyond Classification Output: Semantic Bottleneck Networks	2019	Max Losch Mario Fritz Bernt Schiele	3
+ PDF Chat	Understanding and Mapping Natural Beauty	2017	Scott Workman Richard Souvenir Nathan Jacobs	3
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	3
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	3
+	MatConvNet - Convolutional Neural Networks for MATLAB	2014	Andrea Vedaldi Karel Lenc	3
+ PDF Chat	Network Dissection: Quantifying Interpretability of Deep Visual Representations	2017	David Bau Bolei Zhou Aditya Khosla Aude Oliva Antonio Torralba	3
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Yi Li Kaiming He Jian Sun	2
+	Harmonic Networks: Deep Translation and Rotation Equivariance	2016	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	2
+	Fully Connected Deep Structured Networks	2015	Alexander G. Schwing Raquel Urtasun	2
+ PDF Chat	Understanding image representations by measuring their equivariance and equivalence	2015	Karel Lenc Andrea Vedaldi	2
+	GradMask: Reduce Overfitting by Regularizing Saliency	2019	Becks Simpson Francis Dutil Yoshua Bengio Joseph Cohen	2
+	Exploiting Cyclic Symmetry in Convolutional Neural Networks	2016	Sander Dieleman Jeffrey De Fauw Koray Kavukcuoglu	2
+ PDF Chat	Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions	2015	Devis Tuia Rémi Flamary Nicolas Courty	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+ PDF Chat	Semantic Bottleneck for Computer Vision Tasks	2019	Maxime Bucher Stéphane Herbin Frédéric Jurie	2
+ PDF Chat	Fully Convolutional Siamese Networks for Change Detection	2018	Rodrigo Caye Daudt B. Le Saux Alexandre Boulch	2
+	Learning Rich Features from RGB-D Images for Object Detection and Segmentation	2014	Saurabh Gupta Ross Girshick Pablo Arbeláez Jitendra Malik	2
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	2
+ PDF Chat	Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks	2018	Rodrigo Caye Daudt Bertrand Le Saux Alexandre Boulch Yann Gousseau	2
+ PDF Chat	Revisiting Self-Supervised Visual Representation Learning	2019	Alexander Kolesnikov Xiaohua Zhai Lucas Beyer	2
+	A NEW MEASURE OF RANK CORRELATION	1938	M. G. Kendall	2
+	Learning Attentional Communication for Multi-Agent Cooperation	2018	Jiechuan Jiang Zongqing Lu	2
+ PDF Chat	Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery	2018	Lichao Mou Lorenzo Bruzzone Xiao Xiang Zhu	2
+	RISE: Randomized Input Sampling for Explanation of Black-box Models.	2018	Vitali Petsiuk Abir Das Kate Saenko	2
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	2
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	2
+	Learning to Communicate with Deep Multi-Agent Reinforcement Learning	2016	Jakob Foerster Yannis Assael Nando de Freitas Shimon Whiteson	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2