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Welcome Prof. Mou!

Welcome Prof. Mou!

We warmly welcome the second guest professor, Dr. Lichao Mou.

Lichao is interested in algorithms for Earth observation data analysis and visual learning and reasoning tasks. His work explores topics in remote sensing, computer vision, and machine/deep learning.

Lichao received the Bachelor’s degree in automation from the Xi’an University of Posts and Telecommunications, Xi’an, China, in 2012, the Master’s degree in signal and information processing from the University of Chinese Academy of Sciences (UCAS), China, in 2015, and the Dr.-Ing. degree from the Technical University of Munich (TUM), Munich, Germany, in 2020. In 2015 he spent six months at the Computer Vision Group at the University of Freiburg in Germany. In 2019 he was a Visiting Researcher with the Cambridge Image Analysis Group (CIA), University of Cambridge, UK. From 2019 to 2020, he was a Research Scientist at the Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, Germany. He was also an AI Consultant for the Helmholtz Artificial Intelligence Cooperation Unit (HAICU). Since 2020, he is the head of Visual Learning and Reasoning team at DLR-IMF.

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International AI Future Lab
Ludwig-Bölkow-Campus
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International AI Future Lab on Artificial Intelligence for Earth Observation @TU_Muenchen @DLR_de, @BMBF_bund funded

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AvatarXiaoxiang ZHU@xiaoxiang_zhu·
20 May

We are looking for one PostDoc and one PhD student working on #UncertaintyQuantification in #DeepNeuralNetworks for #EarthObservation and their impact on use cases related to #ClimateScience #SeaLevelBudget
Here an overview paper as background info: https://arxiv.org/abs/2107.03342

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AvatarXiaoxiang ZHU@xiaoxiang_zhu·
18 May

Interested in semantic segmentation, but has no annotation?
Check our recent paper @Zhu_XLab @ai4eo_de led by @sudipansaha published in @IEEE_GRSS #TGRS: 10.1109/TGRS.2022.3174651
code (coming soon): https://gitlab.lrz.de/ai4eo/cd/-/tree/main/unsupContrastiveSemanticSeg
#AI4EO

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AvatarXiaoxiang ZHU@xiaoxiang_zhu·
18 May

Interested in land use dynamics on the Earth's surface? Check our #DynamicEarthNet dataset -- daily, multi-spectral satellite observations of 75 AOIs across the globe with imagery from #Planetscope and #Sentinels, paired with high quality #LULC labels #AI4EO #CVPR

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