Giuseppe Stracquadanio
@stracquadanio.bsky.social
PhD Student @ Visual Inference Lab (@visinf.bsky.social), TU Darmstadt
Reposted by Giuseppe Stracquadanio
📢 #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
Reposted by Giuseppe Stracquadanio
🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!
January 31, 2025 at 7:38 PM
🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!
Reposted by Giuseppe Stracquadanio
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 13, 2024 at 10:10 AM
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