Emanuele Dalsasso

Fantastic research with the great @MarcCoru from @WUR ! Check the open access paper here: sciencedirect.com/science/articl…

We are pleased to announce the 2nd @IEEE_GRSS IADF School on Computer Vision for #EarthObservation (CV4EO) at the University of Sannio, in Benevento (Italy). The School is open to everybody with a strong interest applying CV to address EO challenges. iadf-school.org

Télécom Paris recruits an Assistant/Associate Professor in "visual computing" (image processing, computer vision, computer graphics). Job description : lnkd.in/exMFCZzB

Télécom Paris recrute une ou un maître de conférences en "informatique visuelle" (traitement d'images, vision par ordinateur, informatique graphique). Le descriptif du poste est disponible ici : Annonce : lnkd.in/ewnaggKR

Yesterday I had the pleasure to present my work on self-supervised #deeplearning for #SAR despeckling at the Machine Learning research unit seminar of #TUWien informatics

Last week I participated to #EUSAR. I am glad to share that our paper has been awarded with the #BestStudentPaperAward (2nd place). Preprint, presentation and python package can be found on my webpage (news section): #news" target="_blank" rel="nofollow noopener">perso.telecom-paristech.fr/dalsasso/#news #deepdespeckling #SAR

@christianayala3 @blesa_ux @telecomparis @IP_Paris_ Sure! You can find the associated papers on my webpage: perso.telecom-paristech.fr/dalsasso/ . I will also add a link pointing towards my manuscript and the recording of the thesis presentation no later than next Monday!

@blesa_ux @emasasso @telecomparis @IP_Paris_ Results are promissing qualitatively, congratulations! Has a paper been published or is the thesis accessible?

Very🙂to be committee and reviewer for the PhD defence of E. Dalsasso @emasasso : great insights on despeckling of SAR imagery using deep learning! w/ N. Thome L. Verdoliva A. Almansa R. Bamler C. Soussen F. Tupin and L. Denis @ @telecomparis / Inst. Polytechnique @IP_Paris_

Our article proposing a self-supervised training strategy for #SAR #speckle reduction through #deeplearning was accepted in November 2021 was available in early access. It has know been published and will finally appear in the next issue of #IEEE #TGRS ieeexplore.ieee.org/document/96176…

Join the InGARSS-2021 Virtual Conference with insightful tutorials by some eminent researchers & scientists from across the world. For more details, check out the link ingarss2021.com/tutorials.php

Our recently submitted article on a new self-supervised #deeplearning strategy for #SAR despeckling is available online at arxiv.org/abs/2110.13148. We also released the open code: gitlab.telecom-paris.fr/ring/MERLIN

"The problem here is that, in Remote Sensing, we don't deal with pictures, we deal with physical measures which have a physical meaning. For most applications, we don't want plausible images [...]" #citeproc_bib_item_4" target="_blank" rel="nofollow noopener">labo.obs-mip.fr/multitemp/is-d…