📢Excited to share our IROS 2025 paper “Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model”!

Work by Jannik Endres, @olvrhhn.bsky.social, Charles Cobière, @simoneschaub.bsky.social, @stefanroth.bsky.social and Alexandre Alahi.

[1/8] We are presenting four main conference papers, two workshop papers, and a workshop at @iccv.bsky.social 2025 in Hawaii! 🎉🏝

🎓 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...

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! 🇦🇹🏔️

🚨 10 days left! Submit to L2S: Learning to Sense @ NeurIPS 2025 📡🤖

📅 Dec 6/7, San Diego, USA

🎤 Invited speakers from academia & industry

🌐 Details & CFP: sites.google.com/view/l2s-wor...

Let’s shape the future of how machines sense!
#L2S #NeurIPS2025 #NeurIPSWorkshop

PhD: DONE! ✅ If you are wondering how I feel, just check out these smiling pics. Incredibly thankful and happy! 😊 #PhDLife #PhDConpleted

✍️Submitting to the Fast Review Track at GCPR 2025?

Remember, the deadline is just 5 days away: July 1st, 2025, 11:59 CEST!

Perfect for revised versions of your hard work.

We are excited to see your research shine! 🚀
#GCPR2025

👉 www.dagm-gcpr.de/year/2025/su...

🌐📖 Published a great paper recently? Share it with an even wider audience at GCPR 2025’s Nectar Track! Present your published research, gain recognition, and expand your network! Submission Deadline: July 28, 2025 🚀 #ResearchImpact #ComputerVision #MachineLearning
👉 www.dagm-gcpr.de/year/2025/su...

🌟📚 DAGM Young Researchers’ Forum: Submission deadline - June 04, 2025! Showcase your thesis, meet experts, and compete for the Best Master’s Thesis Award! 🚀 #YoungResearchers #MasterThesis 👉 www.dagm-gcpr.de/year/2025/su...

It's a wrap! 🎉 Thank you @iclr-conf.bsky.social for supporting so many inspiring ideas and thanks Singapore for having me again! 🇸🇬 #ICLR2025 #MachineLearning #PhDlife

The modern way to present a fabric poster @iclr-conf.bsky.social 😎😂

come drop by #74

Our paper "Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?" will be presented at #ICLR2025!
It's also the first paper of my first PhD student, congrats @maximemeloux.bsky.social ! 🎉

blog: melouxm.github.io/MI-identifia...

An explanatory thread 🧵:

On Thursday, I'll be presenting our paper "Can We Talk Models Into Seeing the World Differently?" (#328) at ICLR 2025 in Singapore! If you're attending or just around Singapore, l'd love to connect—feel free to reach out! Also, I’m exploring postdoc or industry opportunities–happy to chat!

Ever wondered how big convolutional filters should really be? 🤔 We push things to the limit literally. Infinite-size convs, but efficient.
“As Large as It Gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters” at #ICLR2025, Singapore!
#ML #DeepLearning #ComputerVision

Amid all the super-duper research advances, I am excited to share my video on a super-duper basic topic:

How to sample your signals?

Here we discuss sampling, why aliasing occurs, and how to prevent it. It's fascinating to view this through the lens of frequency analysis. youtu.be/fTJjPGaPsq4

🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!

3. our TMLR Featured Certification "As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters" - openreview.net/forum?id=xRy... joint work with @juliagrabinski.bsky.social @janiskeuper.bsky.social and @margretkeuper.bsky.social

We will be presenting 3 papers at @iclr-conf.bsky.social :

1. Can we talk models into seeing the world differently?
2. VSTAR: Generative Temporal Nursing for Longer
Dynamic Video Synthesis
3. "As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters"