Probing the 3D Awareness of Visual Foundation Models
As visual foundation models increasingly find their way into SLAM and 3D reconstruction pipelines, an important question arises: are these
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Luigi Freda
Computer Vision, AI, Robotics Engineer, PhD
Deep Learning
pySLAM v.2.10.0 – A Hybrid Python/C++ Framework for Visual SLAM and 3D Perception
I’m happy to share pySLAM v2.10.0 🎉 🔗 https://github.com/luigifreda/pyslam This is a major update that moves the project forward on
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Figure AI Announces Helix 02 – a General-Purpose Humanoid System
Figure AI has announced Helix 02, a new AI control system for its humanoid robots, detailed in a post published
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A new release of pySLAM is here. Loop-closing, volumetric integration, depth prediction and more improvements.
🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
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pySLAM v2.1 is out
I am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
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My new pySLAM v2 is out!
I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
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CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
In this page, the Authors K. Tateno, F. Tombari, I. Laina and N. Navab present the following paper in which CNNs are used
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Hand-Crafted Features or Learned Local Features?
In this post, Torsten Sattler presents his upcoming CVPR 2017 paper “Comparative Evaluation of Hand-Crafted and Learned Local Features”
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Driverless cars that ‘see’ the road ahead
Micheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
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