Philipp Schröppel @PhilSchroeppel
PhD Student at the University of Freiburg Freiburg Joined July 2019-
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After 2 years of hard work by the team, we are thrilled to release scholar-inbox.com today! Scholar Inbox is a personal paper recommender which enables you to stay up-to-date with the most relevant progress by delivering personal suggestions directly to your inbox.🧵
#NAS has seen 1000+ papers over the last few years but rarely found new architectures. In our #NeurIPS2023 paper w/ @DannyStollAI, Robin Ru, @RheaSukthanker, @ThomasBrox & @FrankRHutter, we take a step in that direction and find signs to move beyond usual search spaces! A 🧵1/n
We will organize the "2nd Workshop and Challenge on Out-of-Distribution Generalization in Computer Vision" at #ICCV2023! Stay tuned! :-)
Very excited to share our OVAD paper accepted at #CVPR2023 !!! We introduce an Open-vocabulary Attribute Detection (OVAD) task and the corresponding OVAD benchmark. Check out the webpage: ovad-benchmark.github.io 1/6
We got 2/2 papers accepted at #ICLR23 and 2/2 papers conditionally accepted at #EUROGRAPHICS! What a start into the year! :-) A short overview thread:
Climate change at your doorstep: Changes in hourly thermal comfort conditions modelled over 60 years across entire city with 2m resolution made possible using a deep convolutional encoder-decoder. Great collaboration with @ThomasBrox @UniFreiburg and DWD. doi.org/10.1016/j.ucli…
Thrilled that our workshop on "Generative Models for Computer Vision" got accepted to #CVPR2023! We have a fantastic speaker lineup with whom we will discuss how image synthesis can benefit image analysis. Stay tuned! :-)
Join us today for the 𝗥𝗼𝗯𝘂𝘀𝘁 𝗩𝗶𝘀𝗶𝗼𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 at #ECCV2022! @eccvconf Come and hear from our invited speakers and challenge winners about the state-of-the-art in robust vision! robustvision.net
This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 🧵1/6
Amaya Laurimore @AmayaLauri11906
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31 Followers 5K FollowingShashank Agnihotri @shashankska
164 Followers 391 Following PhD Candidate at Visual Computing Group, Uni Siegen Ex- Solunian. MSc. Computer Science, Uni Freiburg. Research Interests: - Computer Vision - Robustness - NASShirtee @Shirtee319611
2 Followers 545 Following Traveling around the world is just to find a way back to your heart.Max argus @max_argus
4 Followers 15 FollowingGianni Spears @gianni79972
100 Followers 3K FollowingMary Saelee @SaeleeMary45467
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62 Followers 289 Following A regular guy with extraordinary dreams.RahimEntezari @rahiment
1K Followers 614 Following Research Scientist @StabilityAI | Trying to understand how Generative models workGeorge Kopanas @GKopanas
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205 Followers 629 Following PhD candidate in ML @AutoVisionGroup and Bosch IoC lab @uni_tue (2022-). Fascinated with generalization.Jelena Bratulić @JelenaBratulic
16 Followers 192 Following Interested in many things, amazed by machine learning, good food, cute dogs and dad jokes. Junior CV Researcher at UNIZG-FER.Katrin Renz @KatrinRenz
402 Followers 179 Following LLMs + Autonomous Driving. Intern @wayve_ai | PhD Student @AutoVisionGroup | Previously at @Oxford_VGGKashyap Chitta @kashyap7x
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33 Followers 372 Following PhD Student in Machine Learning & Computer Vision, University of FreiburgAdam Kortylewski @AdamKortylewski
864 Followers 343 Following I study generative models and robustness in AI | Research Group Leader at @UniFreiburg and @VcaiMpi | DFG #EmmyNoether FellowDavid Hoffmann @DavidTHoffmann
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51 Followers 202 Following Don't ever tell anybody anything. If you do, you start missing everybody. H.C.Simon Schrodi @SimonSchrodi
68 Followers 127 Following 🎓 PhD student in interpretability @UniFreiburg @CVisionFreiburg 💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate scienceComputer Vision Freib.. @CVisionFreiburg
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184 Followers 14 Following Professor for Computer Vision and Machine Learning, University of FreiburgLogistiVIEW @logistiview
608 Followers 1K Following Right Task. Right Time. Right Way. Go Beyond the Limits of your WMS/ERP with the FlowEP™ Execution Platform.Cameron Smith @omcamsmith
168 Followers 130 Following Researching self-supervised 3D learning Incoming PhD with Yue Wang @ USC! Previously Worked with Vincent Sitzmann's SRG @ MIT! https://t.co/wm3qeJdUYnHorace He @cHHillee
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91K Followers 3K Following Anti-ego ideas for anti-ergodic life. Founder, @smolmodels ▹ Listen: @latentspacepod ▹ Read: @coding_career ▹ Join: @aiDotengineerTanishq Mathew Abraha.. @iScienceLuvr
54K Followers 1K Following PhD at 19 | Founder and CEO at @MedARC_AI | Research Director at @StabilityAI | @kaggle Notebooks GM | Biomed. engineer @ 14 | TEDx talk➡https://t.co/xPxwKTq6QbMartin Oswald @Martin_R_Oswald
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2K Followers 36 FollowingIt is easy to lose track of all the great recent works on non-rigid 3D reconstruction given the current pace. Make sure to check out our recent Eurographics STAR report on recent trends to get a better understanding! Led by amazing Raza Yunus: arxiv.org/abs/2403.15064
Looking at the 3D reconstruction of general non-rigid scenes from different input types?.. Check out our new state-of-the-art report on the most recent trends in the field! TBP at #EUROGRAPHICS2024 (STAR program). Pre-print: arxiv.org/pdf/2403.15064…
@AutoVisionGroup @takeru_miyato @wellingmax @bern_jaeger Next paper - "Geometric Transform Attention for Intrinstic Vision: San Andreas"?)
github.com/OpenDriveLab/D… 🌐 General and scalable VLM architecture 🌏 Web-scale pre-training 🔧 Fine-tuned end-to-end for planning 💡 Interpretable and interactive Led by @smch_1127 and @KatrinRenz. Was a nice collaboration between @AutoVisionGroup and @OpenDriveLab!
After 2 years of hard work by the team, we are thrilled to release scholar-inbox.com today! Scholar Inbox is a personal paper recommender which enables you to stay up-to-date with the most relevant progress by delivering personal suggestions directly to your inbox.🧵
#NAS has seen 1000+ papers over the last few years but rarely found new architectures. In our #NeurIPS2023 paper w/ @DannyStollAI, Robin Ru, @RheaSukthanker, @ThomasBrox & @FrankRHutter, we take a step in that direction and find signs to move beyond usual search spaces! A 🧵1/n
We will organize the "2nd Workshop and Challenge on Out-of-Distribution Generalization in Computer Vision" at #ICCV2023! Stay tuned! :-)
Very excited to share our OVAD paper accepted at #CVPR2023 !!! We introduce an Open-vocabulary Attribute Detection (OVAD) task and the corresponding OVAD benchmark. Check out the webpage: ovad-benchmark.github.io 1/6
Efficient Domain Adaptation for Speech Foundation Models abs: arxiv.org/abs/2302.01496
We got 2/2 papers accepted at #ICLR23 and 2/2 papers conditionally accepted at #EUROGRAPHICS! What a start into the year! :-) A short overview thread:
Lectures by @karpathy have me in awe of his gift to teach. His explanation of the Transformer decoder just makes sense. Worth every minute of the 2 hours it takes to watch 🤓. youtu.be/kCc8FmEb1nY
Climate change at your doorstep: Changes in hourly thermal comfort conditions modelled over 60 years across entire city with 2m resolution made possible using a deep convolutional encoder-decoder. Great collaboration with @ThomasBrox @UniFreiburg and DWD. doi.org/10.1016/j.ucli…
Thrilled that our workshop on "Generative Models for Computer Vision" got accepted to #CVPR2023! We have a fantastic speaker lineup with whom we will discuss how image synthesis can benefit image analysis. Stay tuned! :-)
Join us today for the 𝗥𝗼𝗯𝘂𝘀𝘁 𝗩𝗶𝘀𝗶𝗼𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 at #ECCV2022! @eccvconf Come and hear from our invited speakers and challenge winners about the state-of-the-art in robust vision! robustvision.net
This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 🧵1/6
A Benchmark and a Baseline for Robust Multi-view Depth Estimation Philipp Schröppel, Thomas Brox, Artemij Amiranashvili and Jan Bechtold arxiv.org/abs/2209.06681 eval of many dataset and new baseline learning baseline #3DV2022 1/3
Was wurde im Wahlkampf nicht alles gespottet, geschäumt und gelästert. Ich bin stolz auf diese Außenministerin, die unser Land in der Welt mit neuem Mut und Ideen verkörpert. So geht Leadership für das 21. Jahrhundert - mehr Frauen wie Annalena an die Macht 👏🏻 🇩🇪 kann es brauchen
Wir können so dankbar sein, dass diese Frau gerade Deutschland im Ausland vertritt. Welch schönes Gesicht, in vielerlei Hinsicht! Danke @ABaerbock, für deinen Mut, deine Authentizität, deine klare Haltung und danke, dass du dein Frau- und Muttersein nie verbirgst.
Konjunkturprognosen sind Eilmeldungen und der #IPCC-Bericht nicht? Ernsthaft, liebe @tagesschau?