Computer Vision research group at @UvA_Amsterdam directed by Cees Snoek (@cgmsnoek)
Amsterdam
Joined May 2024
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Video & Image Sense Lab (VIS Lab) retweeted
📢📢 Beyond Model Adaptation at Test Time: A Survey by @zehao_xiao. TL;DR: we provide a comprehensive and systematic review on test-time adaptation, covering more than 400 recent papers 💯💯💯💯 🤩 #CVPR2025 #ICLR2025
arxiv.org/abs/2411.03687
Video & Image Sense Lab (VIS Lab) retweeted
All vision-language models should have hyperbolic embeddings. Vision and language are incredibly hierarchical in nature!
See below our latest work on hyperbolic vision-language models that exploit visual compositions through entailment:
Video & Image Sense Lab (VIS Lab) retweeted
🚀 Excited to share LynX! 🦁
🔑 A new method in visual grounding using a Dual Mixture of Experts—LynX enables pretrained VLMs to continuously learn grounding while retaining their image-language capabilities.
📄 Check out the full paper: arxiv.org/pdf/2410.10491
Video & Image Sense Lab (VIS Lab) retweeted
📢 Announcing TVBench: Temporal Video-Language Benchmark 📺 We reveal that widely used Video-Language benchmarks, such as MVBench, fall short in testing temporal understanding and propose an alternative TVBench: huggingface.co/datasets/FunA…
Video & Image Sense Lab (VIS Lab) retweeted
Excited to announce that today I'm starting my new position at @utn_nuremberg as a full Professor 🎉. I thank everyone who has helped me to get to this point, you're all the best! Our lab is called FunAI Lab, where we strive to put the fun into fundamental research. 😎 Let's go!
Video & Image Sense Lab (VIS Lab) retweeted
🇨🇦 Deeeelighted to share that this work got into #neurips2024. Many thanks to my dear friend and co-author @Dafidofff, as well as the rest of the team.
Solving PDEs in continuous space-time with Neural Fields on cool geometries while respecting their inherent symmetries! 💫💫
Video & Image Sense Lab (VIS Lab) retweeted
The Self-Supervised Learning: What is Next? workshop at @eccvconf had a great turnout with excellent talks. Slides of most talks are available at sslwin.org (soon all 🤞). Thanks to all attendees, speakers, and co-organizers for making it a fantastic event!
Interested in learning about the future of self-supervised learning? Don’t miss our workshop this Sunday at @eccvconf with an incredible lineup of speakers! 🔥
@imisra_ @oriane_simeoni @endernewton @olivierhenaff @y_m_asano @YutongBAI1002
More details at sslwin.org
Video & Image Sense Lab (VIS Lab) retweeted
Stop by today and discuss our @eccvconf paper (SelEx) with me, @doughty_hazel, and @cgmsnoek! 🎉
We present self-expertise—an alternative to self-supervision for learning from unlabelled data with fine-grained distinctions and unknown categories.
📍 Poster #89
🕥 10:30 AM
Video & Image Sense Lab (VIS Lab) retweeted
🚀 Excited to present SIGMA at @eccvconf ! 🎉 We upgrade VideoMAE with Sinkhorn-Knopp on patch-level embeddings, pushing reconstruction to more semantic features. With @mdorkenw.
Let’s connect at today's poster session at 4:30 PM, poster number 256, or send us a DM.
📢SIGMA: Sinkhorn-Guided Masked Video Modeling got accepted to @eccvconf #ECCV2024
TL;DR: Instead of using pixel targets in Video Masked Modeling, we reconstruct jointly trained features using Sinkhorn guidance, achieving SOTA.
📝Project page: quva-lab.github.io/SIGMA/
🌐Paper: arxiv.org/abs/2407.15447
Joint work with @MrzSalehi @fmthoker @egavves @cgmsnoek @y_m_asano
Video & Image Sense Lab (VIS Lab) retweeted
🚀 Excited to present our work on Self-Expertise at #ECCV2024 in Milan!
Join us at poster #89 on Friday, Oct 4 at 10:30 AM to see how self-expertise outperforms self-supervision in tackling unknown data in open-world settings! 🌍 #SelfSupervision #GeneralizedCategoryDiscovery
Video & Image Sense Lab (VIS Lab) retweeted
We're happy to be at #ECCV2024 this week thanks to our cooperation with @VISLab_UvA . Check out @melikaayoughi work at the Instance-Level Recognition Workshop the Self-Supervised Learning workshop.
Video & Image Sense Lab (VIS Lab) retweeted
Interested in learning about the future of self-supervised learning? Don’t miss our workshop this Sunday at @eccvconf with an incredible lineup of speakers! 🔥
@imisra_ @oriane_simeoni @endernewton @olivierhenaff @y_m_asano @YutongBAI1002
More details at sslwin.org
Video & Image Sense Lab (VIS Lab) retweeted
🚀 Excited to announce that our paper "SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery" has been accepted to ECCV 2024! 🎉
Special thanks to my incredible coauthor @MrzSalehi and my amazing supervisors @y_m_asano, @doughty_hazel, and @cgmsnoek🙏.
Video & Image Sense Lab (VIS Lab) retweeted
We are hiring a postdoc! Come work with us in the booming AI ecosystem of beautiful Amsterdam on generative AI and/or uncertainty quantification 🤗
🎇vacatures.uva.nl/UvA/job/Pos…
I’m hiring a postdoc to work with me on exciting projects in generative modelling (AI) and/or uncertainty quantification. You'll be part of a great team, embedded in @AmlabUva and the UvA-Bosch Delta Lab.
Apply here: vacatures.uva.nl/UvA/job/Pos…
RT appreciated!
#ML #GenAI
Video & Image Sense Lab (VIS Lab) retweeted
I will be in Montréal until December for my internship with ServiceNow. I will be working on causal discovery from time-series. Get in touch if you are around and want to chat about some **apprentissage profond**
Video & Image Sense Lab (VIS Lab) retweeted
Video & Image Sense Lab (VIS Lab) retweeted
First time organising a Tutorial with an amazing team and am very excited 🎉! The topic is learning from videos, which I think will be the new 'Big' paradigm for new vision foundation models. Come to learn, chat and discuss @eccvconf!
Incredibly excited to announce the 1st edition of our tutorial at @eccvconf w/ the amazing @y_m_asano and @MrzSalehi!
"Time is precious: Self-Supervised Learning Beyond Images" on 30th Sept. from 09:00 to 13:00 at Amber 7+ 8
Catch the details here⬇️
shashankvkt.github.io/eccv20…
Video & Image Sense Lab (VIS Lab) retweeted
Happy to present this paper accepted @eccvconf: upgrades VideoMAE to use Sinkhorn-Knopp on patch-level embeddings. This moves reconstruction one level up towards more semantic features. Training is simple & stable.
📢SIGMA: Sinkhorn-Guided Masked Video Modeling got accepted to @eccvconf #ECCV2024
TL;DR: Instead of using pixel targets in Video Masked Modeling, we reconstruct jointly trained features using Sinkhorn guidance, achieving SOTA.
📝Project page: quva-lab.github.io/SIGMA/
🌐Paper: arxiv.org/abs/2407.15447
Joint work with @MrzSalehi @fmthoker @egavves @cgmsnoek @y_m_asano