Stefan Roth
@stefanroth.bsky.social
Professor of Computer Science at @tuda.bsky.social
Computer Vision & Machine Learning
Director @ZuseSchoolELIZA.bsky.social
Director @ellis.eu Unit Darmstadt
#ECCV2024 #CVPR2022 Program Chair
Computer Vision & Machine Learning
Director @ZuseSchoolELIZA.bsky.social
Director @ellis.eu Unit Darmstadt
#ECCV2024 #CVPR2022 Program Chair
Reposted by Stefan Roth
📢🎓 We have open PhD positions in Computer Vision & Machine Learning at @tuda.bsky.social and @hessianai.bsky.social within the Reasonable AI Cluster of Excellence — supervised by @stefanroth.bsky.social, @simoneschaub.bsky.social and many others!
www.career.tu-darmstadt.de/tu-darmstadt...
www.career.tu-darmstadt.de/tu-darmstadt...
www.career.tu-darmstadt.de
November 4, 2025 at 2:04 PM
📢🎓 We have open PhD positions in Computer Vision & Machine Learning at @tuda.bsky.social and @hessianai.bsky.social within the Reasonable AI Cluster of Excellence — supervised by @stefanroth.bsky.social, @simoneschaub.bsky.social and many others!
www.career.tu-darmstadt.de/tu-darmstadt...
www.career.tu-darmstadt.de/tu-darmstadt...
Reposted by Stefan Roth
📢 #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
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
April 4, 2025 at 1:38 PM
📢 #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
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
Starting in about 30 minutes in East A-C
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
Paper: arxiv.org/abs/2407.11910
Code: github.com/visinf/idsds
December 14, 2024 at 12:07 AM
Starting in about 30 minutes in East A-C