Diego Marcos

Orcid: 0000-0001-5607-4445

According to our database1, Diego Marcos authored at least 53 papers between 2014 and 2024.

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Bibliography

2024
Cross-Modal Learning of Housing Quality in Amsterdam.
CoRR, 2024


2023
Interpretability of deep learning models for crop yield forecasting.
Comput. Electron. Agric., March, 2023

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme.
CoRR, 2023

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.
CoRR, 2023

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Time Series Analysis of Urban Liveability.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Sparse Linear Concept Discovery Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masking Strategies for Background Bias Removal in Computer Vision Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Attribute Prediction as Multiple Instance Learning.
Trans. Mach. Learn. Res., 2022

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling.
IEEE Trans. Geosci. Remote. Sens., 2022

A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth.
IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Segmentation of Remote Sensing Images With Sparse Annotations.
IEEE Geosci. Remote. Sens. Lett., 2022

A weakly supervised framework for high-resolution crop yield forecasts.
CoRR, 2022

Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Abstracting Sketches Through Simple Primitives.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Cross-Modal Learning of Housing Quality in Amsterdam.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

Learning Decision Trees Recurrently Through Communication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
RSVQA: Visual Question Answering for Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2020

Concept Discovery for The Interpretation of Landscape Scenicness.
Mach. Learn. Knowl. Extr., 2020

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization.
CoRR, 2020

Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Interpretable Scenicness from Sentinel-2 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Whale's Tail - Finding the Right Whale in an Uncertain World.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Contextual Semantic Interpretability.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2019

Novelty detection in very high resolution urban scenes with Density Forests.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Visual Question Answering From Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Scale equivariance in CNNs with vector fields.
CoRR, 2018

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning.
CoRR, 2018

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models.
CoRR, 2018

Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Learning Deep Structured Active Contours End-to-End.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Rotation Equivariant Vector Field Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Solving structured segmentation of aerial images as puzzles.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Learning rotation invariant convolutional filters for texture classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Geospatial Correspondences for Multimodal Registration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Large-scale random features for kernel regression.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Weakly supervised alignment of multisensor images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Hierarchical sparse representation for dictionary-based classification of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014


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