activity
20162026
most citedDetecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning

340 citations · 1.8k across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

eess.SP2020★ 70 cited

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization

Devis Tuia, Diego Marcos, Gustau Camps-Valls

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignment…

eess.IV2020★ 101 cited

deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling

Adugna G. Mullissa, Diego Marcos, Devis Tuia +2

Deep learning (DL) has proven to be a suitable approach for despeckling synthetic aperture radar (SAR) images. So far, most DL models are trained to reduce speckle that follows a p…

cs.CV2020

Contextual Semantic Interpretability

Diego Marcos, Ruth Fong, Sylvain Lobry +3

Convolutional neural networks (CNN) are known to learn an image representation that captures concepts relevant to the task, but do so in an implicit way that hampers model interpre…

eess.IV2020★ 14 cited

Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information

Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos +3

Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image ana…

cs.CV2020★ 295 cited

RSVQA: Visual Question Answering for Remote Sensing Data

Sylvain Lobry, Diego Marcos, Jesse Murray +1

This paper introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information which can be useful for a wide ra…