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Detecting Marine Litter is a very challenging problem! Super happy to present our work on marine litter and floating object detection with @esa #Sentinel2 at @isprs conf today (10:12). Data and models ready to use: github.com/ESA-PhiLab/floati… @MarcCoru + R. Carmo and N. Longépé
Impressive work 👏
Poster on marine debris detection is up at the #ML4RS workshop of @iclr_conf #ICLR2023! See you at the board during the second poster session starting 15:30.
Also, check model predictions on the GEE app:
go.epfl.ch/marinedebrisdetec…
Excited to share that our paper “Deep unfolding for hypersharpening using a high-frequency injection module” was accepted @CVPR’s @EarthVisionWS (25% acceptance rate) 🚀🎉 Big thanks to @joan_dg @Marctomascruz Tomeu Coll and @alessandro_seb for the great collaboration! (1/3)
The paper is about the fusion of hyperspectral and panchromatic data, also called hypersharpening, using model unfolding technique. The latter consist in translating an established mathematical algorithm into a deep learning framework. Code and paper will follow soon 🔥 (2/3)
This work was entirely done during my research fellow position @esa! Many thanks #Philab for the opportunity! (3/3)
#CVPR #EarthVision23 #computervision #ml #earthobservation #eo #maths
Extremely excited to be in #LPS22 in #Bonn! I'll be giving a talk on artificial intelligence for marine litter detection 🌊 using #Sentinel2 🛰️ data! Come join us📢:
🗓️ Wed 25th
🕒 9h15 - 9h30
📍Nairobi 3-4 room #LPS22
see you soon 🚀
@ESA_EO #philab #ai4eo #EarthObservation
It was a pleasure to organize and chair the presentation given today by @wimThiery at @ESA_EO Φ-lab. His talk on the impact of climate change was very insightful (science.org/doi/10.1126/scie…). Check this great tool developed by @wimThiery and his team myclimatefuture.info/
Today at @ESA_EO Φ-lab we were delighted to receive @WimThiery from @VUBrussel to discuss his research on Intergenerational inequities in exposure to climate extremes.
science.org/doi/10.1126/scie…
Check by yourself how climate change can affect you: myclimatefuture.info/
Curious about detecting floating litter in a costal area 🌊? Check out the amazing notebook demonstrator of our floating object detection code put together by @alejo_coca. The notebook is now part of The Environmental AI Book @EnvDSbook : the-environmental-ds-book.ne… 😊
Jamila Mifdal retweeted
Do you have a master degree in data science? computer science? Geo-informatics ? or related fields? Are you looking for pursuing research work? We open a funded PhD position on AI for EO: Learning and analyzing spatio-temporal objects from satellite image time series. (1/2)
Jamila Mifdal retweeted
1/3
Our @NatureClimate paper, led by @AnaVicedo9 was listed as the #TOP1 most talked-about #climatechange-related paper in 2021, based on @altmetric data.
"The burden of heat-related mortality attributable to recent human-induced climate change"
nature.com/articles/s41558-0…
THREAD - Analysis: The climate papers most featured in the media in 2021 | @rtmcswee @joejgoodman @altmetric
Read the full list: bit.ly/3IfVruX
Explore the top 10 papers below ⬇️.
Jamila Mifdal retweeted
We recently developed a series of tutorials for capacity building around use of #TensorFlow with #EO data for teams at @SERVIRGlobal Amazonia. These open source tutorials leveraging reference data from @OurRadiantEarth and @planet #NICFI can be found at: developmentseed.org/tensorfl…
Jamila Mifdal retweeted
Happy to inform that our work received the best full paper award @CVMP 2021
Jamila Mifdal retweeted
Interested in mixing Earth observation (#EO) and artificial intelligence (#AI) + quantum computing (#QC)?
Research Fellow #jobs (PostDoc) in #Quantum Computing for Earth Observation at @ESA_EO Φ-lab (Rome, 🇮🇹): deadline to apply ext'd to Dec. 15th!
jobs.esa.int/job/Frascati-In…
🌍🐈⬛
Jamila Mifdal retweeted
Last week Φ-lab visiting profs were at @ESA_EO Φ-lab, Frascati (🇮🇹) to meet us and discuss the #future of Earth observation #EO and #AI4EO!
w/ B. Demir @BigEarthERC F. Del Frate S. Dzeroski @janvanrijn K. Schindler @devistuia M. Datcu @xiaoxiang_zhu + lnkd.in/g-m7Sps
Jamila Mifdal retweeted
#TeamSeas shines a massive attention spotlight on ocean cleanup this week! But finding marine litter offshore 🌊 is tricky. We trained #machinelearning models 🤖 on satellite 🛰️📡 data to find it. Check our paper+code w @JMifdal R.Carmo @ESA_EO @EPFL_en github.com/ESA-PhiLab/floati…
Jamila Mifdal retweeted
Happy to announce that the marine debris dataset on @planet 3 meter imagery has been published on @OurRadiantEarth ML Hub! Many thanks to @lilly_e_thomas and @iammanil for supporting the dataset creation! Link here - mlhub.earth/data/nasa_marine… #plasticpollution #MachineLearning
Exciting round table lead by @blesa_ux on Quantum computing #QC4EO now at #Phiweek @ESA_EO!
With @IBMResearch, @HeikeRiel, @CERNopenlab Sofia Vallecorsa & @AlbertoDiMeglio, @pwgawron, Oxford @OxPredict Tim Palmer, @ECMWF Martin Palkovic!
Jamila Mifdal retweeted
#AI4EO panel discussion ongoing at @ESA_EO #Phiweek!
PP Mathieu and @Dr_RSchneider discussing with the amazing speakers inc. @BigEarthERC B. Demir, @hanna123987 Meyer, @alkalait @NASA @HarvestProgram Inbal Becker-Reshef, @vzantedesc @kasia_tokarska C. Gevaert, Tao Cheng...
