Christoph Reich
@christophreich.bsky.social
@ellis.eu Ph.D. Student @CVG (@dcremers.bsky.social), @visinf.bsky.social & @oxford-vgg.bsky.social | Ph.D. Scholar @zuseschooleliza.bsky.social | M.Sc. & B.Sc. @tuda.bsky.social | Prev. @neclabsamerica.bsky.social
https://christophreich1996.github.io
https://christophreich1996.github.io
Reposted by Christoph Reich
📢🎓 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 Christoph Reich
[6/8] Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery (Oral at ILR+G Workshop)
by Xinrui Gong*, @olvrhhn.bsky.social *, @christophreich.bsky.social , Krishnakant Singh, @simoneschaub.bsky.social , @dcremers.bsky.social @stefanroth.bsky.social
by Xinrui Gong*, @olvrhhn.bsky.social *, @christophreich.bsky.social , Krishnakant Singh, @simoneschaub.bsky.social , @dcremers.bsky.social @stefanroth.bsky.social
October 19, 2025 at 3:35 PM
[6/8] Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery (Oral at ILR+G Workshop)
by Xinrui Gong*, @olvrhhn.bsky.social *, @christophreich.bsky.social , Krishnakant Singh, @simoneschaub.bsky.social , @dcremers.bsky.social @stefanroth.bsky.social
by Xinrui Gong*, @olvrhhn.bsky.social *, @christophreich.bsky.social , Krishnakant Singh, @simoneschaub.bsky.social , @dcremers.bsky.social @stefanroth.bsky.social
Reposted by Christoph Reich
[3/8] Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
by @jev-aleks.bsky.social *, @christophreich.bsky.social *, @fwimbauer.bsky.social , @olvrhhn.bsky.social , Christian Rupprecht, @stefanroth.bsky.social, @dcremers.bsky.social
🌍 visinf.github.io/scenedino/
by @jev-aleks.bsky.social *, @christophreich.bsky.social *, @fwimbauer.bsky.social , @olvrhhn.bsky.social , Christian Rupprecht, @stefanroth.bsky.social, @dcremers.bsky.social
🌍 visinf.github.io/scenedino/
October 19, 2025 at 3:35 PM
[3/8] Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
by @jev-aleks.bsky.social *, @christophreich.bsky.social *, @fwimbauer.bsky.social , @olvrhhn.bsky.social , Christian Rupprecht, @stefanroth.bsky.social, @dcremers.bsky.social
🌍 visinf.github.io/scenedino/
by @jev-aleks.bsky.social *, @christophreich.bsky.social *, @fwimbauer.bsky.social , @olvrhhn.bsky.social , Christian Rupprecht, @stefanroth.bsky.social, @dcremers.bsky.social
🌍 visinf.github.io/scenedino/
Interested in 3D DINO features from a single image or unsupervised scene understanding?🦖
Come by our SceneDINO poster at NeuSLAM today 14:15 (Kamehameha II) or Tue, 15:15 (Ex. Hall I 627)!
W/ Jevtić @fwimbauer.bsky.social @olvrhhn.bsky.social Rupprecht, @stefanroth.bsky.social @dcremers.bsky.social
Come by our SceneDINO poster at NeuSLAM today 14:15 (Kamehameha II) or Tue, 15:15 (Ex. Hall I 627)!
W/ Jevtić @fwimbauer.bsky.social @olvrhhn.bsky.social Rupprecht, @stefanroth.bsky.social @dcremers.bsky.social
October 19, 2025 at 8:38 PM
Interested in 3D DINO features from a single image or unsupervised scene understanding?🦖
Come by our SceneDINO poster at NeuSLAM today 14:15 (Kamehameha II) or Tue, 15:15 (Ex. Hall I 627)!
W/ Jevtić @fwimbauer.bsky.social @olvrhhn.bsky.social Rupprecht, @stefanroth.bsky.social @dcremers.bsky.social
Come by our SceneDINO poster at NeuSLAM today 14:15 (Kamehameha II) or Tue, 15:15 (Ex. Hall I 627)!
W/ Jevtić @fwimbauer.bsky.social @olvrhhn.bsky.social Rupprecht, @stefanroth.bsky.social @dcremers.bsky.social
Reposted by Christoph Reich
🎓 Looking for a PhD position in computer vision? Apply to the European Laboratory for Learning & Intelligent Systems (ELLIS) and work with @stefanroth.bsky.social & @simoneschaub.bsky.social! Join the info session on Oct 1.
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
ELLIS PhD Program: Call for Applications 2025
The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...
ellis.eu
September 29, 2025 at 9:35 AM
🎓 Looking for a PhD position in computer vision? Apply to the European Laboratory for Learning & Intelligent Systems (ELLIS) and work with @stefanroth.bsky.social & @simoneschaub.bsky.social! Join the info session on Oct 1.
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
@ellis.eu @tuda.bsky.social
ellis.eu/news/ellis-p...
Reposted by Christoph Reich
Some impressions from our VISINF summer retreat at Lizumer Hütte in the Tirol Alps — including a hike up Geier Mountain and new research ideas at 2,857 m! 🇦🇹🏔️
August 29, 2025 at 12:48 PM
Some impressions from our VISINF summer retreat at Lizumer Hütte in the Tirol Alps — including a hike up Geier Mountain and new research ideas at 2,857 m! 🇦🇹🏔️
Check out our blog post about SceneDINO 🦖
For more details, check out our project page, 🤗 demo, and the hashtag #ICCV2025 paper 🚀
🌍Project page: visinf.github.io/scenedino/
🤗Demo: visinf.github.io/scenedino/
📄Paper: arxiv.org/abs/2507.06230
@jev-aleks.bsky.social
For more details, check out our project page, 🤗 demo, and the hashtag #ICCV2025 paper 🚀
🌍Project page: visinf.github.io/scenedino/
🤗Demo: visinf.github.io/scenedino/
📄Paper: arxiv.org/abs/2507.06230
@jev-aleks.bsky.social
July 24, 2025 at 1:16 PM
Check out our blog post about SceneDINO 🦖
For more details, check out our project page, 🤗 demo, and the hashtag #ICCV2025 paper 🚀
🌍Project page: visinf.github.io/scenedino/
🤗Demo: visinf.github.io/scenedino/
📄Paper: arxiv.org/abs/2507.06230
@jev-aleks.bsky.social
For more details, check out our project page, 🤗 demo, and the hashtag #ICCV2025 paper 🚀
🌍Project page: visinf.github.io/scenedino/
🤗Demo: visinf.github.io/scenedino/
📄Paper: arxiv.org/abs/2507.06230
@jev-aleks.bsky.social
Reposted by Christoph Reich
𝗙𝗲𝗲𝗱-𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗦𝗰𝗲𝗻𝗲𝗗𝗜𝗡𝗢 𝗳𝗼𝗿 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗰𝗲𝗻𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻
Aleksandar Jevtić, Christoph Reich, Felix Wimbauer ... Daniel Cremers
arxiv.org/abs/2507.06230
Trending on www.scholar-inbox.com
Aleksandar Jevtić, Christoph Reich, Felix Wimbauer ... Daniel Cremers
arxiv.org/abs/2507.06230
Trending on www.scholar-inbox.com
July 11, 2025 at 6:00 AM
𝗙𝗲𝗲𝗱-𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗦𝗰𝗲𝗻𝗲𝗗𝗜𝗡𝗢 𝗳𝗼𝗿 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗰𝗲𝗻𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻
Aleksandar Jevtić, Christoph Reich, Felix Wimbauer ... Daniel Cremers
arxiv.org/abs/2507.06230
Trending on www.scholar-inbox.com
Aleksandar Jevtić, Christoph Reich, Felix Wimbauer ... Daniel Cremers
arxiv.org/abs/2507.06230
Trending on www.scholar-inbox.com
Reposted by Christoph Reich
The code for our #CVPR2025 paper, PRaDA: Projective Radial Distortion Averaging, is now out!
Turns out distortion calibration from multiview 2D correspondences can be fully decoupled from 3D reconstruction, greatly simplifying the problem
arxiv.org/abs/2504.16499
github.com/DaniilSinits...
Turns out distortion calibration from multiview 2D correspondences can be fully decoupled from 3D reconstruction, greatly simplifying the problem
arxiv.org/abs/2504.16499
github.com/DaniilSinits...
July 9, 2025 at 1:54 PM
The code for our #CVPR2025 paper, PRaDA: Projective Radial Distortion Averaging, is now out!
Turns out distortion calibration from multiview 2D correspondences can be fully decoupled from 3D reconstruction, greatly simplifying the problem
arxiv.org/abs/2504.16499
github.com/DaniilSinits...
Turns out distortion calibration from multiview 2D correspondences can be fully decoupled from 3D reconstruction, greatly simplifying the problem
arxiv.org/abs/2504.16499
github.com/DaniilSinits...
🦖 We present “Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion”. #ICCV2025
🌍: visinf.github.io/scenedino/
📃: arxiv.org/abs/2507.06230
🤗: huggingface.co/spaces/jev-a...
@jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social
🌍: visinf.github.io/scenedino/
📃: arxiv.org/abs/2507.06230
🤗: huggingface.co/spaces/jev-a...
@jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social
July 9, 2025 at 1:18 PM
🦖 We present “Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion”. #ICCV2025
🌍: visinf.github.io/scenedino/
📃: arxiv.org/abs/2507.06230
🤗: huggingface.co/spaces/jev-a...
@jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social
🌍: visinf.github.io/scenedino/
📃: arxiv.org/abs/2507.06230
🤗: huggingface.co/spaces/jev-a...
@jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social
Reposted by Christoph Reich
Aleksandar Jevti\'c, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
https://arxiv.org/abs/2507.06230
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
https://arxiv.org/abs/2507.06230
July 9, 2025 at 5:20 AM
Aleksandar Jevti\'c, Christoph Reich, Felix Wimbauer, Oliver Hahn, Christian Rupprecht, Stefan Roth, Daniel Cremers
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
https://arxiv.org/abs/2507.06230
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
https://arxiv.org/abs/2507.06230
Reposted by Christoph Reich
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
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
June 26, 2025 at 9:22 AM
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
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
Reposted by Christoph Reich
Scene-Centric Unsupervised Panoptic Segmentation
by @olvrhhn.bsky.social , @christophreich.bsky.social , @neekans.bsky.social , @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social
Sunday, 8:30 AM, ExHall D, Poster 330
Project Page: visinf.github.io/cups
by @olvrhhn.bsky.social , @christophreich.bsky.social , @neekans.bsky.social , @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social
Sunday, 8:30 AM, ExHall D, Poster 330
Project Page: visinf.github.io/cups
June 11, 2025 at 8:56 PM
Scene-Centric Unsupervised Panoptic Segmentation
by @olvrhhn.bsky.social , @christophreich.bsky.social , @neekans.bsky.social , @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social
Sunday, 8:30 AM, ExHall D, Poster 330
Project Page: visinf.github.io/cups
by @olvrhhn.bsky.social , @christophreich.bsky.social , @neekans.bsky.social , @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social
Sunday, 8:30 AM, ExHall D, Poster 330
Project Page: visinf.github.io/cups
Reposted by Christoph Reich
Can we match vision and language representations without any supervision or paired data?
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
June 3, 2025 at 9:27 AM
Can we match vision and language representations without any supervision or paired data?
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Surprisingly, yes!
Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences.
⬇️ 1/4
Reposted by Christoph Reich
Can you train a model for pose estimation directly on casual videos without supervision?
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
May 13, 2025 at 8:11 AM
Can you train a model for pose estimation directly on casual videos without supervision?
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Turns out you can!
In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors!
⬇️
Reposted by Christoph Reich
Check out our latest recent #CVPR2025 paper AnyCam, a fast method for pose estimation in casual videos!
1️⃣ Can be directly trained on casual videos without the need for 3D annotation.
2️⃣ Based around a feed-forward transformer and light-weight refinement.
Code and more info: ⏩ fwmb.github.io/anycam/
1️⃣ Can be directly trained on casual videos without the need for 3D annotation.
2️⃣ Based around a feed-forward transformer and light-weight refinement.
Code and more info: ⏩ fwmb.github.io/anycam/
April 23, 2025 at 3:52 PM
Check out our latest recent #CVPR2025 paper AnyCam, a fast method for pose estimation in casual videos!
1️⃣ Can be directly trained on casual videos without the need for 3D annotation.
2️⃣ Based around a feed-forward transformer and light-weight refinement.
Code and more info: ⏩ fwmb.github.io/anycam/
1️⃣ Can be directly trained on casual videos without the need for 3D annotation.
2️⃣ Based around a feed-forward transformer and light-weight refinement.
Code and more info: ⏩ fwmb.github.io/anycam/
Check out our recent #CVPR2025 #highlight paper on unsupervised panoptic segmentation🚀
🌍 visinf.github.io/cups/
🌍 visinf.github.io/cups/
📢 #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 1:45 PM
Check out our recent #CVPR2025 #highlight paper on unsupervised panoptic segmentation🚀
🌍 visinf.github.io/cups/
🌍 visinf.github.io/cups/
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Robots & self-driving cars rely on scene understanding, but AI models for understanding these scenes need costly human annotations. Daniel Cremers & his team introduce 🥤🥤 CUPS: a scene-centric unsupervised panoptic segmentation approach to reduce this dependency. 🔗 mcml.ai/news/2025-04...
April 4, 2025 at 1:36 PM
Check out the recent CVG papers at #CVPR2025, including our (@olvrhhn.bsky.social, @neekans.bsky.social, @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social) work on unsupervised panoptic segmentation. The paper will soon be available on arXiv. 🚀
We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement!
For more details check out cvg.cit.tum.de
For more details check out cvg.cit.tum.de
March 13, 2025 at 3:49 PM
Check out the recent CVG papers at #CVPR2025, including our (@olvrhhn.bsky.social, @neekans.bsky.social, @dcremers.bsky.social, Christian Rupprecht, and @stefanroth.bsky.social) work on unsupervised panoptic segmentation. The paper will soon be available on arXiv. 🚀
Reposted by Christoph Reich
🏔️⛷️ 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 Christoph Reich
This week we had our winter retreat jointly with Daniel Cremer's group in Montafon, Austria. 46 talks, 100 Km of slopes and night sledding with some occasionally lost and found. It has been fun!
January 16, 2025 at 5:50 PM
This week we had our winter retreat jointly with Daniel Cremer's group in Montafon, Austria. 46 talks, 100 Km of slopes and night sledding with some occasionally lost and found. It has been fun!
Reposted by Christoph Reich
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
Reposted by Christoph Reich
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.
visinf.github.io/primaps/
PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.
November 28, 2024 at 5:41 PM
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.
visinf.github.io/primaps/
PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.