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Devis Tuia

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Publications associées (151)

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images

Devis Tuia, Rui Gong, Benjamin Alexander Kellenberger, Xiaochen Zheng

Automated animal censuses with aerial imagery are a vital ingredient towards wildlife conservation. Recent models are generally based on deep learning and thus require vast amounts of training data. Due to their scarcity and minuscule size, annotating anim ...

IEEE2021

Concept Discovery for The Interpretation of Landscape Scenicness

Devis Tuia

In this paper, we study how to extract visual concepts to understand landscape scenicness. Using visual feature representations from a Convolutional Neural Network (CNN), we learn a number of Concept Activation Vectors (CAV) aligned with semantic concepts ...

2020

A deep learning framework for matching of SAR and optical imagery

Devis Tuia, Sylvain Lobry, Lloyd Haydn Hughes

SAR and optical imagery provide highly complementary information about observed scenes. A combined use of these two modalities is thus desirable in many data fusion scenarios. However, any data fusion task requires measurements to be accurately aligned. Wh ...

2020

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Devis Tuia, Benjamin Alexander Kellenberger

Ecological surveys increasingly rely on large‐scale image datasets, typically terabytes of imagery for a single survey. The ability to collect this volume of data allows surveys of unprecedented scale, at the cost of expansive volumes of photo‐interpretati ...

2020

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation

Devis Tuia

The five papers in this special section focus on computer vision-based approaches for Earth observation. These papers followed a series of events promoting works at the interface between computer vision and remote sensing: the special sessions organized at ...

2020

Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering

Devis Tuia, Matthew Josef Parkan

2018

Detecting animals in African Savanna with UAVs and the crowds

Stéphane Joost, Devis Tuia

Unmanned aerial vehicles (UAVs) offer new opportunities for wildlife monitoring, with several advantages over traditional field-based methods. They have readily been used to count birds, marine mammals and large herbivores in different environments, tasks ...

Elsevier2017

Domain Adaptation for the Classification of Remote Sensing Data An overview of recent advances

Devis Tuia

Ieee-Inst Electrical Electronics Engineers Inc2016

2016 IEEE GRSS Data Fusion Contest Very high temporal resolution from space

Devis Tuia

Ieee-Inst Electrical Electronics Engineers Inc2016

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Stéphane Joost, Devis Tuia, Patrick Meier, Matthew Josef Parkan, Julien Briant, Muhammad Imran, Carlos Castillo

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resol ...

Mary Ann Liebert, Inc2016

Hydrometeor classification from polarimetric radar measurements: a clustering approach

Devis Tuia, Alexis Berne, Jacopo Grazioli

A data-driven approach to the classification of hydrometeors from measurements collected with polarimetric weather radars is proposed. In a first step, the optimal number of hydrometeor classes (nopt) that can be reliably identified from a large set of pol ...

Copernicus Gesellschaft Mbh2015

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

Devis Tuia, Zeyu Zhang

A semisupervised kernel deformation function, including spatial similarity, is proposed for the classification of remote sensing (RS) images. The method exploits the characteristic of these images, in which spatially nearby points are likely to belong to t ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we used an improved version of the Tor Vergata radiative transfer model to simulate the backscattering coefficient for the L-band SAR signals over areas covered with vegetation. Fields of winter wheat, maize and sugar beet observed during th ...

Ieee2014

SVM Active Learning Approach for Image Classification Using Spatial Information

Devis Tuia

In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image classification. Current strategies formulate the active learning problem i ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Giona Matasci, Diego Marcos Gonzalez

2014

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

Devis Tuia

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert spa ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Weakly Supervised Alignment Of Image Manifolds With Semantic Ties

Devis Tuia

Aligning data distributions that underwent spectral distortions related to acquisition conditions is a key issue to improve the performance of classifiers applied to multi-temporal and multi-angular images. In this paper, we propose a feature extraction me ...

Ieee2014

Pose Estimation of Web-Shared Landscape Pictures

François Golay, Vincent Lepetit, Devis Tuia, Timothée Produit

We propose a robust method for registering high oblique images of landscapes. Typically, an input image can be registered by matching it against a set of registered images of the same location. While this has been shown to work very well for images of popu ...

2014

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

Devis Tuia

Ieee-Inst Electrical Electronics Engineers Inc2014

Semi-supervised multiview embedding for hyperspectral data classification

Devis Tuia, Giona Matasci

In this paper, a method for semi-supervised multiview feature extraction based on the multiset regularized kernel canonical correlation analysis (kCCA) is proposed for the classification of hyperspectral images. The covariance matrix of this type of data i ...

Elsevier Science Bv2014

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