#AI and #DataScience in #EarthObservation for #SocialGood #RemoteSensing #MachineLearning #Urbanization #SDGs @TU_Muenchen. We strive for #OpenScience!
Joined April 2020
- Tweets 232
- Following 112
- Followers 1,519
- Likes 245
22 Photos and videos
Zhu Lab retweeted
29 Oct 2024
#EarthNets: Empowering #AI4EO
our #EarthNets Platform developed @Zhu_XLab @TU_Muenchen got accepted @IEEE_GRSS #GRSM.
paper: ieeexplore.ieee.org/document…
platform: earthnets.github.io/
Main features: 500 datasets with 10 attributes, 50 SOTA models, and 10 libraries
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Zhu Lab retweeted
14 Oct 2024
🚨 Our new paper introduces #FloodCast, a scalable AI-driven system for large-scale flood modeling using satellite data. 🌊🌍
Paper: sciencedirect.com/science/ar…
Code: github.com/HydroPML/FloodCas…
#FloodModeling #AI #RemoteSensing #Hydrodynamics #ClimateTech
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Zhu Lab retweeted
14 Oct 2024
🚀 Our new paper on #PolyGNN, a graph neural network for 3D building reconstruction from point clouds, is out now! 🌍🏙️ It's scalable, accurate, and ready for real-world applications.
paper: sciencedirect.com/science/ar…
code: github.com/chenzhaiyu/polygn…
#AI #EO #3D #UrbanModeling
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Zhu Lab retweeted
7 Oct 2024
Excited to dive into #MachineLearning for #EarthObservation? 🌱🌐 Check out this free MOOC: "Introduction to Machine Learning for Earth Observation" being part of #ML4Earth: eo-college.org/courses/intro…
link to project: ml4earth.de
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congrats, Sugandha!
11 Jun 2024
Happy to share that my PhD student Sugandha Doda successfully defended her PhD thesis on "Population Estimation Utilizing Earth Observation Data"! warmest congrats to Dr. Doda for this great achievement! 🌍📊 #PhDDefense #PopulationEstimation #Congratulations #AI4EO
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Congratulations, @koheidler
7 Jun 2024
Huge congratulations to Dr. Heidler @koheidler for his outstanding work on #deeplearning, #remotesensing & #polarregions. Proud of your achievements and looking forward to your future contributions! 🌍❄️📊
#PhD #ClimateChange #RemoteSensing #AI4EO #ProudSupervisor
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Zhu Lab retweeted
10 May 2024
Join @shanzhao333 Orals #1 at the 2nd #ML4RS Workshop at #ICLR2024 on Causal GNNs for #WildfireDangerPrediction.
🗓️TOMORROW at 12:15 Vienna (Room Lehar 4)!
Not in Vienna? Check out the paper on arXiv: arxiv.org/abs/2403.08414
@Zhu_XLab @Orion_lab_NOA @isp_uv_es
#SeasFire #ESA
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Zhu Lab retweeted
8 May 2024
🚀 Perspectives on Earth and Climate Foundation Models! 🌍 Check out our new paper, "On the Foundations of Earth and Climate #FoundationModels," where we define 11 essential features to guide research towards the ideal FM.
👉 Read it here: lnkd.in/dgujQHkj
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Zhu Lab retweeted
24 Apr 2024
🌍Exciting updates from our @BMWK @DLR_en funded Center #ML4Earth ! On April 23, we held our first in-person progress meeting @TU_Muenchen. 🚀
@grosse_guido @MiguelDMahecha @jlbamber @UniBonn @DLR_en @UniLeipzig @AWI_de @ai4eo_de @Zhu_XLab #AI4EO #Climate
ml4earth.de/
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Zhu Lab retweeted
23 Apr 2024
Big News: we share the insights on global buildings from space today! Explore the unseen with #GlobalOpenBuildingMap! We close the information gap of >50% of buildings across the globe.
#AI4EO #Sustainability #RenewableEnergy #SDGs #urbanization
paper: arxiv.org/abs/2404.13911
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Zhu Lab retweeted
22 Apr 2024
🚀 Dive into the #VisionLanguageModels in #RemoteSensing with our latest paper: "Vision-Language Models in Remote Sensing: Current Progress and Future Trends"
🌐🔍Read the full paper here:
ieeexplore.ieee.org/document…
#AI4EO #Geospatial #NLP #earthobservation
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Zhu Lab retweeted
19 Apr 2024
Our team is looking for a senior scientist/manager who is interested in working with us to help shape the profile of our lab in teaching and research:
asg.ed.tum.de/sipeo/news/art…
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The PI of our lab @xiaoxiang_zhu will give a keynote @ECMWF @esa #ML4ESOP workshop in May. Stay tuned. @ai4eo_de
Keynote presentations are from @xiaoxiang_zhu on Machine Learning for Earth Observation & Beyond, and from Martin Schultz on what will come next in #AI for Weather models, Climate models & Earth system models.
Full programme and to register by 3 May ➡️ ml4esop.esa.int/
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Zhu Lab retweeted
16 Apr 2024
Happy to share that our "Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes" paper (arxiv.org/pdf/2404.09768.pdf) was accepted at the #EarthVision workshop at #CVPR2024.
with @Alevering1, Lars Penning, Dario Oliveira @diego_marcos_g, and @xiaoxiang_zhu
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Zhu Lab retweeted
9 Apr 2024
How significant would #urbanization impact urban tree coverage? Jianhua extracted #UrbanTreeCoverage of more than 800 cities in North America via #AI4EO, from which prevalent positive indirect effect of urbanization on UTC was revealed.
Link to our paper: sciencedirect.com/science/ar…
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Zhu Lab retweeted
26 Mar 2024
wish for one #EO #FoundationModel for all types of input data with different modalities #SAR #Optical, with different # of bands or even for unseen sensors? Check our new #NeuralPlasticity Inspired model -#DOFA.
paper: arxiv.org/abs/2403.15356
code: github.com/zhu-xlab/DOFA
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Zhu Lab retweeted
18 Mar 2024
#Causality instead of #correlation? We integrate causality with #GraphNeuralNetworks (#GNNs) to better understand the interplay of different factors for #wildfire danger prediction. @Zhu_XLab @ai4eo_de @OrionLab_NOA @isp_uv_es
Paper @TheICLR #ML4RS: arxiv.org/abs/2403.08414
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Zhu Lab retweeted
18 Mar 2024
#PopulationDensity estimation from #Space? In our recent paper @Zhu_XLab led by Sugandha, we use #opendata to do so with #explainable #AI4EO. The approach is #scalable! #AI4Good #SDGs
@ObadicIvica @Wang_SAR @ai4eo_de
paper: sciencedirect.com/science/ar…
code: github.com/zhu-xlab/So2Sat-P…
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Zhu Lab retweeted
12 Mar 2024
Curious about #Referring #RemoteSensing Image #Segmentation? It aims at segmenting out the objects from a RS image, given natural language expression. We introduce this new #NLP in #EO task, a dedicated dataset #RefSegRS, and a #LGCE module.
paper: ieeexplore.ieee.org/abstract…
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Zhu Lab retweeted
12 Mar 2024
Interested in getting an overview on #building extraction from #RemoteSensing imagery? Qingyu complied a comprehensive survey, recently published @IEEE_GRSS #TGRS - RS offers a perspective to complement incomplete #OSM building data.
Link to paper: ieeexplore.ieee.org/abstract…
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