Diego Marcos
@dmarcosg.bsky.social
Researcher at Inria Montpellier, France. I work on computer vision / machine learning models for biodiversity and environmental issues.
We are looking for an NLP postdoc/engineer to work on adding language capabilities to our Earth observation sensor-agnostic models (Atomizer, to be presented at BMVC25).
Details here: jobs.inria.fr/public/class...
Atomizer: arxiv.org/pdf/2506.13542
GEO-ReSeT project: anr.fr/Projet-ANR-2...
Details here: jobs.inria.fr/public/class...
Atomizer: arxiv.org/pdf/2506.13542
GEO-ReSeT project: anr.fr/Projet-ANR-2...
September 8, 2025 at 12:30 PM
We are looking for an NLP postdoc/engineer to work on adding language capabilities to our Earth observation sensor-agnostic models (Atomizer, to be presented at BMVC25).
Details here: jobs.inria.fr/public/class...
Atomizer: arxiv.org/pdf/2506.13542
GEO-ReSeT project: anr.fr/Projet-ANR-2...
Details here: jobs.inria.fr/public/class...
Atomizer: arxiv.org/pdf/2506.13542
GEO-ReSeT project: anr.fr/Projet-ANR-2...
Our paper on the automatic extraction of plant traits from the Web is out!
It has been a long time in the making (yes, since way before ChatGPT).
We dedicate this paper to the late Robert van de Vlasakker, the project’s first contributor, whose early efforts gave it shape. He left us far too soon.
It has been a long time in the making (yes, since way before ChatGPT).
We dedicate this paper to the late Robert van de Vlasakker, the project’s first contributor, whose early efforts gave it shape. He left us far too soon.
Fully automatic extraction of morphological traits from the web: Utopia or reality?
A new workflow using #LargeLanguageModels by @dmarcosg.bsky.social et al in #AppsPlantSci
bsapubs.onlinelibrary.wiley.com/doi/full/10.... @umramap.bsky.social #botany #MachineLearning #plantscience
A new workflow using #LargeLanguageModels by @dmarcosg.bsky.social et al in #AppsPlantSci
bsapubs.onlinelibrary.wiley.com/doi/full/10.... @umramap.bsky.social #botany #MachineLearning #plantscience
June 16, 2025 at 11:45 AM
Our paper on the automatic extraction of plant traits from the Web is out!
It has been a long time in the making (yes, since way before ChatGPT).
We dedicate this paper to the late Robert van de Vlasakker, the project’s first contributor, whose early efforts gave it shape. He left us far too soon.
It has been a long time in the making (yes, since way before ChatGPT).
We dedicate this paper to the late Robert van de Vlasakker, the project’s first contributor, whose early efforts gave it shape. He left us far too soon.
Reposted by Diego Marcos
GeoLifeCLEF25: Location-based species presence prediction
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
[1/3]
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
[1/3]
April 7, 2025 at 10:36 PM
GeoLifeCLEF25: Location-based species presence prediction
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
[1/3]
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
[1/3]
We are looking for a PhD student to work on the next generation of 𝗦𝗽𝗲𝗰𝗶𝗲𝘀 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 at Inria in Montpellier! 🌲 🌳 🌴 🌾 🪲 🐝 🐜
jobs.inria.fr/public/class...
Join us to build on our recent work on DeepMaxEnt: arxiv.org/pdf/2412.19217
(Under review, stay tuned for an updated version!)
jobs.inria.fr/public/class...
Join us to build on our recent work on DeepMaxEnt: arxiv.org/pdf/2412.19217
(Under review, stay tuned for an updated version!)
PhD Position F/M on deep learning methods for mapping species interactions
Offre d'emploi Inria
jobs.inria.fr
March 12, 2025 at 4:02 PM
We are looking for a PhD student to work on the next generation of 𝗦𝗽𝗲𝗰𝗶𝗲𝘀 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 at Inria in Montpellier! 🌲 🌳 🌴 🌾 🪲 🐝 🐜
jobs.inria.fr/public/class...
Join us to build on our recent work on DeepMaxEnt: arxiv.org/pdf/2412.19217
(Under review, stay tuned for an updated version!)
jobs.inria.fr/public/class...
Join us to build on our recent work on DeepMaxEnt: arxiv.org/pdf/2412.19217
(Under review, stay tuned for an updated version!)