@simoneschaub.bsky.social
Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH Computer Vision & Deep Learning
Got a strong XAI paper rejected from ICCV? Submit it to our ICCV eXCV Workshop today—we welcome high-quality work!
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
Call for papers at the eXCV workshop at ICCV 2025.
Join us in taking stock of the state of the field of explainability in computer vision, at our Workshop on Explainable Computer Vision: Quo Vadis? at #ICCV2025!
@iccv.bsky.social
We are presenting 3 papers at #CVPR2025!
11.06.2025 20:56 — 👍 7 🔁 2 💬 1 📌 0
Reasonable Artificial Intelligence und The Adaptive Mind: Die TU Darmstadt wird im Rahmen der Exzellenzstrategie des Bundes und der Länder mit gleich zwei geförderten Clusterprojekten ausgezeichnet. Ein Meilenstein für unsere Universität! www.tu-darmstadt.de/universitaet...
22.05.2025 16:20 — 👍 32 🔁 10 💬 0 📌 2
"Reasonable AI" got selected as a cluster of excellence www.tu-darmstadt.de/universitaet...
Overwhelmingly happy to be part of RAI & continue working with the smart minds at TU Darmstadt & hessian.AI, while also seeing my new home at Uni Bremen achieve a historic success in the excellence strategy!
📢 #CVPR2025 Highlight: Scene-Centric Unsupervised Panoptic Segmentation 🔥
We present CUPS, the first unsupervised panoptic segmentation method trained directly on scene-centric imagery.
Using self-supervised features, depth & motion, we achieve SotA results!
🌎 visinf.github.io/cups
Why has continual ML not had its breakthrough yet?
In our new collaborative paper w/ many amazing authors, we argue that “Continual Learning Should Move Beyond Incremental Classification”!
We highlight 5 examples to show where CL algos can fail & pinpoint 3 key challenges
arxiv.org/abs/2502.11927
🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!
31.01.2025 19:38 — 👍 31 🔁 11 💬 0 📌 0
Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.
15.01.2025 22:03 — 👍 190 🔁 26 💬 12 📌 8
Verstehen, was KI-Modelle können – und was nicht: Interview mit @simoneschaub.bsky.social, Early-Career-Forscherin im Clusterprojekt „RAI“ (Reasonable Artificial Intelligence).
"RAI" ist eines der Projekte, mit denen sich die TUDa um einen Exzellenzcluster bewirbt.
www.youtube.com/watch?v=2VAm...
Hi Julian, just joined bluesky, I am working on XAI in Computer Vision, would be great to be added to the list as well, thanks
08.01.2025 15:41 — 👍 1 🔁 0 💬 1 📌 0
Want to learn about how model design choices affect the attribution quality of vision models? Visit our #NeurIPS2024 poster on Friday afternoon (East Exhibition Hall A-C #2910)!
Paper: arxiv.org/abs/2407.11910
Code: github.com/visinf/idsds
Our work, "Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals" is accepted at TMLR! 🎉
visinf.github.io/primaps/
PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.
Die DFG hat Dr. Simone Schaub-Meyer ins Emmy Noether-Programm aufgenommen. Schaub-Meyer will Methoden entwickeln, die das Verständnis für weit verbreitete Modelle der #KI in der Bild-und Videoanalyse erhöhen www.tu-darmstadt.de/universitaet...
04.03.2024 13:18 — 👍 2 🔁 1 💬 0 📌 0
