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📢📢📢 A pulse of light takes ~3ns to pass through a Coke bottle—100 million times less than it takes you to blink. Our work lets you fly around this 3D scene at the speed of light, revealing propagating wavefronts of light that are invisible to the naked eye—from any viewpoint!

📢 Code release for 𝗗𝗦𝗜𝗡𝗘 (#CVPR2024 - Oral) DSINE gives you surface normal prediction (+ uncertainty) in real-time. We have released the code for training, testing, and running real-time demos. Try it yourself! github.com/baegwangbin/DS…

Excited to be at ICML! I'll be presenting a poster on GBP Learning — our approach to train deep networks using Gaussian belief propagation. With Mark van der Wilk and Andrew Davison. Poster #1606 between 11:30-1pm today.

COMO will be presented as an 𝐨𝐫𝐚𝐥 at #ECCV2024! Also come see the 𝐥𝐢𝐯𝐞 𝐝𝐞𝐦𝐨 of our compact 3D representation for real-time monocular SLAM Oral: Session 2C at 1:40 PM on Tue 1 Oct Poster: #181 at 4:30-6:30 PM on Tue 1 Oct Demo: Thurs 3 Oct AM edexheim.github.io/como/

We'll be presenting "Distributed Simultaneous Localisation and Auto-Calibration using GBP" at #IROS2024 We show that distributed GBP can be effectively used to localise and auto-calibrate many robots. Please come to our presentation (Wed 17:30 Room 11) if you're around!

For robot dexterity, a missing piece is general, robust perception. Our new Science Robotics work combines multimodal sensing with neural representations to perceive novel objects in-hand. 🎲 Featured on the cover of the November issue! #ScienceRoboticsResearch 🧵1/9

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*, Andrew Davison (*Equal Contribution)

Excited to release the first worldwide aerial image localization method (and demo!) Take an aerial or satellite image from anywhere in the world, and AstroLoc can (probably) find its location, and provide a precise footprint! Links to paper, demo and full-length (5 min) video ⬇️

🔍Looking for a multi-view depth method that just works? We're excited to share MVSAnywhere, which we will present at #CVPR2025. MVSAnywhere produces sharp depths, generalizes and is robust to all kind of scenes, and it's scale agnostic. More info: nianticlabs.github.io/mvsanywhere/

Visual SLAM has made major success in static scenes — now let’s explore the dynamic world we live in! At #CVPR2025, we introduce 4DTAM, 4D Tracking & Mapping using dynamic surface Gaussians optimized through diff. rendering. muskie82.github.io/4dtam/ w/ Gwangbin Bae Andrew Davison

I'm a featured interview in our latest behind-the-scenes release! We break down the ML and perception that drives the whole-body manipulation behaviors from last year. It starts with a neat demo of Atlas's range-of-motion and our vision foundation models. youtu.be/oe1dke3Cf7I?si…

We (with Eric Dexheimer) will be demoing MASt3R-SLAM #CVPR2025 today 16:00-18:00, ExHall B, 9 Come and see the limits of our real-time monocular dense SLAM! We’ll also be presenting our poster #83 on Sat 14th from 17:00-19:00. See you soon!

Happy that our work is featured in CVPR Daily!

Well done to Riku and Eric Dexheimer on Best Demo Honourable Mention for MASt3R-SLAM at #CVPR2025. That's 3 best demo awards in the past 2 years at CVPR from our lab! (Gaussian Splatting SLAM won Best Demo in 2024 and SuperPrimitive got Honourable Mention). #DemosNotTables