AI Research Engineer @ Helsing. Research on computer vision and deep learning. Previously PhD @TU_Muenchen and intern @NianticLabs and @Meta @RealityLabs.
Munich, Germany
Joined March 2017
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I am at #ECCV2026 this week!
📄 TRAIL: Trajectory-Aware Visual Place Recognition against Unordered Databases, 10:30 AM on Sep 11 [Poster Session 3 · ExHall, board #133] eccv.ecva.net/virtual/2026/p…
🗺️ ViLMa workshop, 9:15 AM on Sep 8, for a keynote talk vilma-workshop.github.io/
Patrick Wenzel retweeted
Going to @eccvconf? 👀
Workshop Radar is ready and online for #ECCV2026 🚀
🔎 Find workshops & tutorials
⭐ Save your favorites
📅 Explore the schedule in one place
Open source. Mobile-friendly. No account required.
Less tab chaos, more conference. 😄
workshopradar.vercel.app
🤖 Made with AI
Patrick Wenzel retweeted
When we say Atlas has pixel-perfect camera control, we mean it.
Atlas precisely follows input camera parameters, including non-planar projections such as the Brown-Conrady distortion model and the Kannala-Brandt fish-eye model.
@BhamidipatiPan1 invented a novel method of camera conditioning and it works beautifully.
🧵 [1/N]
Patrick Wenzel retweeted
"Building Rome with Convex Optimization" has been accepted to #RSS2025!
Try XM, our new structure from motion pipeline powered by GPU-accelerated convex semidefinite optimization:
github.com/ComputationalRobo…
XM solves large-scale (nonconvex) global bundle adjustment problem via learned depth and a tight convex semidefinite relaxation.
By implementing the Burer-Monteiro low-rank factorization algorithm in CUDA, XM can solve bundle adjustment problems with more than 10,000 images/views.
Technical details in the paper: arxiv.org/abs/2502.04640
Kudos to @Hyhan0118
Patrick Wenzel retweeted
One reason generative 3D is hard is that the world has barely any 3D training data. Today, most humans on earth will snap a few photos and write paragraphs of text. In contrast, earth has maybe ~50k 3D artists, and each will make maybe ~1k photoreal 3D models over their career.
Patrick Wenzel retweeted
We’ve had fun testing the limits of MASt3R-SLAM on in-the-wild videos. Here’s the drone video of a Minnesota bowling alley that we’ve always wanted to reconstruct! Different scene scales, dynamic objects, specular surfaces, and fast motion.
MASt3R-SLAM code release!
github.com/rmurai0610/MASt3R…
Try it out on videos or with a live camera
Work with @eric_dexheimer*, @AjdDavison (*Equal Contribution)
![GitHub - rmurai0610/MASt3R-SLAM: [CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruc...](https://pbs.twimg.com/card_img/2115662819240685568/mb_PLTEH?format=jpg&name=800x419)
Patrick Wenzel retweeted
Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation.
Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map.
With @eric_dexheimer*, @AjdDavison (*Equal Contribution)
Patrick Wenzel retweeted
Devil's advocate mode on: Navigation World Models have existed for a long time... they're called maps! And there are plenty of good algorithms out there which enable robots to build them / render views from them / localise within them / use them for planning. #SLAM #SpatialAI :)
Happy to share our new work on Navigation World Models! 🔥🔥
Navigation is a fundamental skill of agents with visual-motor capabilities. We train a single World Model across multiple environments and diverse agent data.
w/ @GaoyueZhou, Danny Tran, @trevordarrell and @ylecun.
I’ll be at the conference tomorrow and on Friday. PM me if you’d like to chat about what we are doing!
I will be joining @corl_conf community tomorrow. Helsing.ai will be hosting an event on Thursday. Stop by our booth if you’d like to know more about what we do and how how work contributes to defending our liberal democracies !
Patrick Wenzel retweeted
Mark Zuckerberg on Meta's open source AI strategy: "We're not doing this because we're altruistic... I don't view it as giving it away, I view it as you guys all making it better for me"
Patrick Wenzel retweeted
very cool to see a pretty exhaustive and extensive technical report on llama-3.1!
a few fun snippets 🧵
Patrick Wenzel retweeted
🚀 Excited to release OpenVPRLab! 🎉
An open-source framework for Visual Place Recognition (VPR), featuring extensible, modular, and scalable components, enabling researchers to train/develop deep VPR models with reproducible SOTA performance.
🔗github.com/amaralibey/OpenVP…
🧵👇
ALT https://github.com/amaralibey/OpenVPRLab
We’re looking for computer vision and machine learning PhD interns to join our team.
It’s a great opportunity to work on challenging and cutting-edge computer vision and machine learning problems!
I’ll be at #CVPR this week. PM me!
linkedin.com/jobs/view/39532…
What a great community. We had a full house yesterday and a great lineup of keynote speakers!
We had stimulating discussions and a really exciting panel! We hope everyone enjoyed it!
Thanks to all the speakers and to the organizers who contributed to the success of the event!
Make sure to join us for the Visual Localization and Mapping Workshop (ViLMa) on Monday morning @CVPR!
We have an outstanding lineup of keynote speakers:
@smash0190 @lukasvst @VincentLepetit2 @jajuengel Peter Kontschieder @lealtaixe @mapo1
More details: vilma-workshop.github.io/
ALT ViLMa CVPR 2024 Keynote Speakers
Make sure to join us for the Visual Localization and Mapping Workshop (ViLMa) on Monday morning @CVPR!
We have an outstanding lineup of keynote speakers:
@smash0190 @lukasvst @VincentLepetit2 @jajuengel Peter Kontschieder @lealtaixe @mapo1
More details: vilma-workshop.github.io/
ALT ViLMa CVPR 2024 Keynote Speakers
Patrick Wenzel retweeted
With satellite imagery, it’s hard to get labels. Solution? DINOv2!
WRI+Meta trained a satellite DINOv2 for tree height estimation. They created an interactive map of tree height of the whole globe (!) at 1-meter res (!): meta-forest-monitoring-okw37…
Quizz: Can you recognize this city?
Patrick Wenzel retweeted
The GOAT of tennis @DjokerNole said: "35 is the new 25.” I say: “60 is the new 35.” AI research has kept me strong and healthy. AI could work wonders for you, too!
