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Nina Shvetsova @ninashv.bsky.social · 22d

Super interesting insights!

David Picard @davidpicard.bsky.social · 23d

I'm currently attending the video Symposium sites.google.com/view/video-a...
Starting with already impressively good talks 🤩

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Reposted by Nina Shvetsova

ELLIS @ellis.eu · 28d

🌍 11 ELLIS Members and Scholars from five countries have received ERC Starting Grants! Congratulations to all awardees! 👏

Last week @erc.europa.eu awarded 478 grants totaling €761M to support early-career researchers across Europe.

🔗 Learn more: ellis.eu/news/erc-awa...

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Nina Shvetsova @ninashv.bsky.social · Aug 8

🚀 UTD is now fully released!
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.

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Reposted by Nina Shvetsova

David Picard @davidpicard.bsky.social · Aug 1

Everybody misses the 1-page rebuttal.

These lengthy forum style comments are a nightmare: a nightmare for the authors who spend way too much time writing them, a nightmare for the reviewers who spend too much time understanding them, a nightmare for the ACs who will have to summarize all. Stop it!

Rémi Flamary @rflamary.bsky.social · Aug 1

As a #NeurIPS AC I did a little stat. Paper reviews+responses in my batch contain 515k characters and 75k words. This is without including papers themselves or authors/reviewers discussions. So please be nice to your AC, we are doing our best. Also I miss the one page PDF response of old ICML.

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Reposted by Nina Shvetsova

#ICCV2025 @iccv.bsky.social · Jul 28

Finishing your PhD or just defended? Apply to the #ICCV2025 Doctoral Consortium. Get feedback and mentorship from leading researchers in computer vision.

Doctoral consortium info: iccv.thecvf.com/Conferences/...

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Reposted by Nina Shvetsova

Dima Damen @dimadamen.bsky.social · Jul 22

Extended EPIC-SOUND paper was accepted at TPAMI
arxiv.org/abs/2302.006...
This follows ICASSP 2023 oral, extended for detection and further analysis
epic-kitchens.github.io/epic-sounds/
work by @jaesunghuh.bsky.social Jacob Chalk @ekazakos.bsky.social
@oxford-vgg.bsky.social @bristoluni.bsky.social

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Reposted by Nina Shvetsova

Christian Wolf @chriswolfvision.bsky.social · Jul 23

Update on hidden prompts in papers targeting LLM reviews: ICML 2025 PCs react.

icml.cc/Conferences/...

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Reposted by Nina Shvetsova

Yuki Asano @yukimasano.bsky.social · Jul 21

Today, we release Franca, a new vision Foundation Model that matches and often outperforms DINOv2.
The data, the training code and the model weights are open-source.

This is the result of a close and fun collaboration
@valeoai.bsky.social (in France) and @funailab.bsky.social (in Franconia)🚀

Andrei Bursuc @abursuc.bsky.social · Jul 21

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

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Reposted by Nina Shvetsova

Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13

Papers being presented from our group at #ICML2025!

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

Papers accepted at ICML 2025 from the Computer Vision and Machine Learning Department at the Max Planck Institute for Informatics.

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Reposted by Nina Shvetsova

Hilde Kuehne @hildekuehne.bsky.social · Jun 13

Happening now! Check out the great work from Felix and Co. We improve video action grounding by >=10% on V-HICO and DALY(hope we didn't miss anyone)!

Fri 13 Jun 10:30 a.m. CDT — 12:30 p.m. CDT
ExHall D Poster #306

Paper: openaccess.thecvf.com/content/CVPR...

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Reposted by Nina Shvetsova

Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 11

Thread: Workshop Papers from Our Lab at CVPR 2025! 🚀

👏 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

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Reposted by Nina Shvetsova

Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 11

Thread: Main Conference Papers from Our Lab at CVPR 2025! 🚀

👏 Big congrats to everyone! Keep an eye out at #CVPR2025 🌟

#MPI-INF #D2 #ComputerVision #AI #PhD #ML

@mpi-inf.mpg.de

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Reposted by Nina Shvetsova

Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 11

🎉 Exciting News #CVPR2025!

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

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Reposted by Nina Shvetsova

Dima Damen @dimadamen.bsky.social · Apr 29

Do you want to present your recently accepted or ongoing work @cvprconference.bsky.social #CVPR2025 EgoVis workshop?
Submit your abstract before DL of Fri 2 May,
egovis.github.io/cvpr25/#cfp

a blue and white penguin is sitting on a yellow origami crane

ALT: a blue and white penguin is sitting on a yellow origami crane

media.tenor.com

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Reposted by Nina Shvetsova

Hilde Kuehne @hildekuehne.bsky.social · Apr 29

🚀Excited to announce our CVPR 2025 paper: Unbiasing through Textual Descriptions!
We release new descriptions for 1.9M(!) videos and object-debiased splits for 12 datasets!
🔗Project: utd-project.github.io
by @ninashv.bsky.social et al 🧵👇

@cvprconference.bsky.social

UTD Dataset: Mitigating Representation Bias in Video Benchmarks

A dataset with textual descriptions and debiased splits for video benchmarks.

utd-project.github.io

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