Clemens Mosig
@ClemensMosig
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Earth System Data Science @ Leipzig University. https://t.co/I7OYUmmoJI https://t.co/mBQNiwTi0Q
Joined May 2020
Submitting an abstract to #EGU25 this year? Use our new tool to find out which sessions fit best using AI. Super excited we’re collaborating with EGU this year to offer such solution. Thread for details below! https://t.co/bosj1zvOUT
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Centimeter-scale (<10cm) resolution is required to accurately identify standing deadwood in aerial images.
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Checkout our preprint: https://t.co/WZGojbx88S - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics https://t.co/ZzHpxDVQqJ
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Interested in vegetation indices? 🛰️🌲🌳 New paper out in @CommsEarth: Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations https://t.co/NwIStMuEjs Some spoilers below 👇
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Interested in how the https://t.co/WxWar363GF database can contribute towards mapping tree mortality globally? Come join us for the next ITMN seminar by Teja Kattenborn & Clemens Mosig on October 8th 16:00 CEST! Please register for the online seminar: https://t.co/SSVtf3ARAZ
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📢 Call for data! Seeking #RGBI imagery & annotations for #tree #species. 🌳🌲🌴Passionate about #forestry, #ecology, #biodiversity, or #DeepLearning? Help build a universal model for tree species #identification! ⌛️Deadline: 31.10.2024. ➡️ https://t.co/SI3LshupDO
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A first demo of this line of work has just been launched on @iNaturalist 🎉🎉🎉 You can read more about it here https://t.co/dMaqv5nkER and on their blog:
inaturalist.org
We are excited to announce the launch of our Vision Language Demo, developed in collaboration with our long-time partners at the University of Massachusetts Amherst, the University of Edinburgh, the...
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are looking for ideas so we can develop the next generation of AI models that can help users to better search these image collections.
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To start, if you want to see Claude 3.5 Sonnet in action solving a simple pull request, here's a quick demo video we made. (voiceover by the one and only @sumbhavsethia)
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It's insanely tough to get high-resolution images to build super-resolution models. However, now there's a new (free) dataset we can use. It contains over 17,657 high-res/low-res image pairs. Here's everything you need to know:
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Our paper "Estimating Canopy Height at Scale" has been accepted to #ICML24, where we significantly advance global canopy height mapping. w/ @maxzimmerberlin, U. Kelly, M. Schwartz, S. Saatchi, @ciais_philippe , @spokutta , @matin_brandt, F. Gieseke https://t.co/5vn882Zvtf 🧵 1/5
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Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
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Clemens Mosig (@ClemensMosig) and colleagues ask whether network operators should be updating their #BGP Route Flap Damping parameters. Ahead of their presentation at #RIPE83, read up on the results of their study on #RIPELabs: https://t.co/1HEWmB51lc
labs.ripe.net
BGP Route Flap Damping (RFD) is recommended to suppress BGP churn. Default RFD configurations in routers have been shown to be harmful. Current configuration recommendations by the IETF and RIPE,...
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Feels a bit like an in-person conference @ACM_IMC2021. Colleagues from @tu_muenchen, @inf_haw_hh, and @FU_Berlin meet at the Berlin #IMC2021 pod. #talks #social #discussions #cats
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Clemens Mosig and his co-authors dive into BGP Route Flap Damping (RFD) and explain how it is measured, which configurations are in use, and provide RFD parameter sets based on past recommendations for your router: https://t.co/Xn9BMCUCFe
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