It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
✨ AnyUp: Universal Feature Upsampling 🔎
Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.
🌐 wimmerth.github.io/anyup/
We are inviting the community and the stakeholders to submit questions, which will be discussed with our experts at the workshop! 🎤💡
👉 Submit your questions: forms.gle/8cYb4Ce3dGHi...
Workshop: excv-workshop.github.io
@iccv.bsky.social
#ICCV2025 #eXCV
We are inviting the community and the stakeholders to submit questions, which will be discussed with our experts at the workshop! 🎤💡
👉 Submit your questions: forms.gle/8cYb4Ce3dGHi...
Workshop: excv-workshop.github.io
@iccv.bsky.social
#ICCV2025 #eXCV
@iccv.bsky.social
@iccv.bsky.social
Code ✅ Models ✅ 2M video descriptions ✅ Debiased splits for 12 datasets ✅
Everything you need to benchmark video models more fairly is now public:
🔗 github.com/ninatu/utd-p...
🎥 Let’s make video understanding actually about video understanding.
Code ✅ Models ✅ 2M video descriptions ✅ Debiased splits for 12 datasets ✅
Everything you need to benchmark video models more fairly is now public:
🔗 github.com/ninatu/utd-p...
🎥 Let’s make video understanding actually about video understanding.
We explore this in detail in our CVPR 2025 Workshop paper:
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
arxiv.org/abs/2505.04835
by: @margretkeuper.bsky.social
We explore this in detail in our CVPR 2025 Workshop paper:
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
arxiv.org/abs/2505.04835
by: @margretkeuper.bsky.social
Our Non-proceedings track is open till August 15th for the eXCV workshop at ICCV.
Our nectar track accepts published papers, as is.
More info at: excv-workshop.github.io
@iccv.bsky.social #ICCV2025
Our Non-proceedings track is open till August 15th for the eXCV workshop at ICCV.
Our nectar track accepts published papers, as is.
More info at: excv-workshop.github.io
@iccv.bsky.social #ICCV2025
📣 We're pleased to announce that the deadline for non-proceeding track #CV4DC at @iccv.bsky.social has been extended to August 15, 2025
Looking forward to your submissions! cv4dc.github.io/2025/
📣 We're pleased to announce that the deadline for non-proceeding track #CV4DC at @iccv.bsky.social has been extended to August 15, 2025
Looking forward to your submissions! cv4dc.github.io/2025/
Congratulations to all the authors! To know more, visit us in the poster sessions!
A 🧵with more details:
@icmlconf.bsky.social @mpi-inf.mpg.de
Congratulations to all the authors! To know more, visit us in the poster sessions!
A 🧵with more details:
@icmlconf.bsky.social @mpi-inf.mpg.de
🎉 Congratulations to all the authors whose papers were accepted. We can't wait to meet you at @iccv.bsky.social in Hawaii on Oct 19th.
⏰ Our non-proceeding track is still accepting submissions until July 20th! Details in the comments
🎉 Congratulations to all the authors whose papers were accepted. We can't wait to meet you at @iccv.bsky.social in Hawaii on Oct 19th.
⏰ Our non-proceeding track is still accepting submissions until July 20th! Details in the comments
He is now at Genmo.ai as a Research Engineer working on video generation! 🚀
More: yue-fan.github.io
All the best!
He is now at Genmo.ai as a Research Engineer working on video generation! 🚀
More: yue-fan.github.io
All the best!
↪️ sic.link/ottohahn25
#AI #ComputerVision #research
In DIY-SC, we improve foundational features using a light-weight adapter trained with carefully filtered and refined pseudo-labels.
🔧 Drop-in alternative to plain DINOv2 features!
📦 Code + pre-trained weights available now.
🔥 Try it in your next vision project!
It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6]
genintel.github.io/DIY-SC
In DIY-SC, we improve foundational features using a light-weight adapter trained with carefully filtered and refined pseudo-labels.
🔧 Drop-in alternative to plain DINOv2 features!
📦 Code + pre-trained weights available now.
🔥 Try it in your next vision project!
🗓️ Submissions open until June 26 AoE.
📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track.
#ICCV2025 @iccv.bsky.social
His thesis is titled: Learning to Track: From Limited Supervision to Long-range Sequence Modeling
Checkout his web-page to learn more about his work: mattiasegu.github.io
His thesis is titled: Learning to Track: From Limited Supervision to Long-range Sequence Modeling
Checkout his web-page to learn more about his work: mattiasegu.github.io
@iccv.bsky.social
@iccv.bsky.social
Come and visit our poster on Friday afternoon, where I present 𝗠𝗘𝘁𝟯𝗥: 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀
@mohammadasim98.bsky.social @wimmerthomas.bsky.social @mpi-inf.mpg.de @cvml.mpi-inf.mpg.de
Come and visit our poster on Friday afternoon, where I present 𝗠𝗘𝘁𝟯𝗥: 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀
@mohammadasim98.bsky.social @wimmerthomas.bsky.social @mpi-inf.mpg.de @cvml.mpi-inf.mpg.de
👏 Huge congrats to our members on these workshop paper acceptances! Excited to see their work at #CVPR2025 🌟
#MPI-INF #D2 #Workshop #AI #ComputerVision #PhD
@mpi-inf.mpg.de
👏 Huge congrats to our members on these workshop paper acceptances! Excited to see their work at #CVPR2025 🌟
#MPI-INF #D2 #Workshop #AI #ComputerVision #PhD
@mpi-inf.mpg.de
👏 Big congrats to everyone! Keep an eye out at #CVPR2025 🌟
#MPI-INF #D2 #ComputerVision #AI #PhD #ML
@mpi-inf.mpg.de
👏 Big congrats to everyone! Keep an eye out at #CVPR2025 🌟
#MPI-INF #D2 #ComputerVision #AI #PhD #ML
@mpi-inf.mpg.de
We’re proud to announce that we have 5 papers accepted to the main conference and 7 papers accepted at various CVPR workshops this year!
We’re looking forward to sharing our research with the community in Nashville!
Stay tuned for more details! @mpi-inf.mpg.de
We’re proud to announce that we have 5 papers accepted to the main conference and 7 papers accepted at various CVPR workshops this year!
We’re looking forward to sharing our research with the community in Nashville!
Stay tuned for more details! @mpi-inf.mpg.de
🎯 Try it live: huggingface.co/spaces/prs-e...
📚 Learn more: inverseflair.github.io
Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler
🎯 Try it live: huggingface.co/spaces/prs-e...
📚 Learn more: inverseflair.github.io
Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler