output
20082026
most citedVine disease detection in UAV multispectral images with deep learning segmentation approach

315 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

5 papers · 1 filter

eess.IV2019★ 315 cited

Vine disease detection in UAV multispectral images with deep learning segmentation approach

Mohamed Kerkech, Adel Hafiane, Raphael Canals

One of the major goals of tomorrow's agriculture is to increase agricultural productivity but above all the quality of production while significantly reducing the use of inputs. Me…

cs.MM2019★ 5 cited

Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection

Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti +2

Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming t…

cs.CR2019★ 2 cited

A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection

Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti1 +2

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others,…

stat.ME2019★ 34 cited

Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation

Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss +2

In order to leverage the information embedded in the background state and observations, covariance matrices modelling is a pivotal point in data assimilation algorithms. These matr…

math.ST2019★ 1 cited

Large scale in transit computation of quantiles for ensemble runs

Alejandro Ribes, Théophile Terraz, Bertrand Iooss +2

The classical approach for quantiles computation requires availability of the full sample before ranking it. In uncertainty quantification of numerical simulation models, this appr…