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Zhu Lab

@Zhu_XLab

#AI and #DataScience in #EarthObservation for #SocialGood #RemoteSensing #MachineLearning #Urbanization #SDGs @TU_Muenchen. We strive for #OpenScience!

 Munich
asg.ed.tum.de/sipeo
Joined April 2020
  • Tweets231
  • Following109
  • Followers1.5K
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Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)Photo by Zhu Lab (@Zhu_XLab)
#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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🚨 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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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🚀 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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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
Causal Graph Neural Networks for Wildfire Danger Prediction

Causal Graph Neural Networks for Wildfire Danger Prediction

Wildfire forecasting is notoriously hard due to the complex interplay of different factors such as weather conditions, vegetation types and human activities. Deep learning models show promise in...

arxiv.org
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🚀 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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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🌍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/
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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🚀 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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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…

News

Wir suchen für unser Team ab sofort, in Vollzeit, eine/n Akademischen Rat a. Z. (m/w/d)

asg.ed.tum.de
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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
Image from Ivica Obadic (@ObadicIvica)
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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…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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#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
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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#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…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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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…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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Interested in Few-shot #Hyperspectral Image #Classification? Check our new paper @IEEE_GRSS #JSTARS, led by Nassim, in which #self-supervised learning is explored. #ContrastiveLearning #AI4EO @TU_Muenchen @DLR_en @Inria @ai4eo_de @Zhu_XLab Paper: ieeexplore.ieee.org/document…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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Suffering from incomplete annotations in #AI4EO? Chenying has proposed Adaptively trIggered Online Object-wise correction (#AIO2) to address this issue. paper @IEEE_GRSS #TGRS: arxiv.org/abs/2403.01641 code: github.com/zhu-xlab/AIO2 @Zhu_XLab @ai4eo_de @TU_Muenchen @DLR_de
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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Interested in detecting #UrbanPoverty with #AI4EO? Our new paper led by Thomas introduces a scalable method that is #label #Efficient and #Uncertainty-aware. A close collaboration between @DLR_de and @TU_Muenchen code: github.com/stark-t/Uncertain… paper: ieeexplore.ieee.org/document…
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
Image from Xiaoxiang ZHU (@xiaoxiang_zhu)
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