Computer Vision & Deep Learning
www.career.tu-darmstadt.de/tu-darmstadt...
www.career.tu-darmstadt.de/tu-darmstadt...
🌍 visinf.github.io/recover
Talk: Tue 09:30 AM, Kalakaua Ballroom
Poster: Tue 11:45 AM, Exhibit Hall I #76
🌍 visinf.github.io/recover
Talk: Tue 09:30 AM, Kalakaua Ballroom
Poster: Tue 11:45 AM, Exhibit Hall I #76
Work by Jannik Endres, @olvrhhn.bsky.social, Charles Cobière, @simoneschaub.bsky.social, @stefanroth.bsky.social and Alexandre Alahi.
Work by Jannik Endres, @olvrhhn.bsky.social, Charles Cobière, @simoneschaub.bsky.social, @stefanroth.bsky.social and Alexandre Alahi.
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
by @dustin-carrion.bsky.social, @stefanroth.bsky.social, and @simoneschaub.bsky.social
🌍: visinf.github.io/emat
Poster: Wednesday, 03:30 PM, Postern 8
by @dustin-carrion.bsky.social, @stefanroth.bsky.social, and @simoneschaub.bsky.social
🌍: visinf.github.io/emat
Poster: Wednesday, 03:30 PM, Postern 8
by @skiefhaber.de, @stefanroth.bsky.social, and @simoneschaub.bsky.social
🌍: visinf.github.io/recover
Poster: Friday, 10:30 AM, Poster 14
by @skiefhaber.de, @stefanroth.bsky.social, and @simoneschaub.bsky.social
🌍: visinf.github.io/recover
Poster: Friday, 10:30 AM, Poster 14
We welcome you to voice your opinion on the state of XAI. You get 5 minutes to speak (in-person only) during the workshop.
📷 Submit your proposals here: lnkd.in/d7_EWKXp
For more details: lnkd.in/dpYWVYXS
@iccv.bsky.social #ICCV2025 #eXCV
We welcome you to voice your opinion on the state of XAI. You get 5 minutes to speak (in-person only) during the workshop.
📷 Submit your proposals here: lnkd.in/d7_EWKXp
For more details: lnkd.in/dpYWVYXS
@iccv.bsky.social #ICCV2025 #eXCV
Non-Proceedings track closes in 2 days!
Be sure to submit on time!
We are awaiting your submissions!
More info at: excv-workshop.github.io
@iccv.bsky.social #ICCV2025 #eXCV
Non-Proceedings track closes in 2 days!
Be sure to submit on time!
We are awaiting your submissions!
More info at: excv-workshop.github.io
@iccv.bsky.social #ICCV2025 #eXCV
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
@iccv.bsky.social
@iccv.bsky.social
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!
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!
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
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
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
"RAI" ist eines der Projekte, mit denen sich die TUDa um einen Exzellenzcluster bewirbt.
www.youtube.com/watch?v=2VAm...
"RAI" ist eines der Projekte, mit denen sich die TUDa um einen Exzellenzcluster bewirbt.
www.youtube.com/watch?v=2VAm...
Paper: arxiv.org/abs/2407.11910
Code: github.com/visinf/idsds
Paper: arxiv.org/abs/2407.11910
Code: github.com/visinf/idsds
visinf.github.io/primaps/
PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.
visinf.github.io/primaps/
PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.