CNN Archivi - Luigi Freda

Luigi Freda

Robotics & Computer Vision Engineer, PhD

Computer Vision Deep Learning Machine Learning Math News Perception Posts Robotics

luigi 7 May 20209 May 2020 2 Comments 3D reconstruction, augmented reality, CNN, computer vision, deep-learning, features, image processig, machine-learning, mapping, NN, open source, perception, SLAM, visual localization

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,

Machine Learning Posts

luigi 26 September 201826 September 2018 0 Comments CNN, data analysis, deep-learning, machine-learning, NN

Hottest Deep Learning Frameworks 2018

In this very nice article, Jeff compares all the hottest deep learning frameworks that are used in the Academic and

Machine Learning Posts

luigi 25 June 201625 June 2016 0 Comments CNN, data analysis, deep-learning, machine-learning, NN

Probabilistic Deep Network

This post explains a trick which allows us to convert neural network outputs into probabilities, with no cost to performance,

Machine Learning Posts

luigi 24 June 201624 June 2016 0 Comments CNN, deep-learning, machine-learning, NN, open source

Tiny-CNN: Header-only, Dependency-free Deep Learning Framework

Tiny-CNN is an header-only, dependency-free deep learning framework for C++11. Just include tiny_cnn.h and write your model in C++. There is

Computer Vision Machine Learning Perception Posts

luigi 24 June 201625 June 2016 0 Comments 3D reconstruction, CNN, deep-learning, machine-learning, open source, perception

Deep Learning for Robust Normal Estimation in Unstructured Point Clouds

Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to

Computer Vision Machine Learning Posts

luigi 9 April 201614 May 2016 0 Comments 2D to 3D, 3D reconstruction, CNN, machine-learning

Automatic 2D-to-3D Video Conversion with CNNs

Here you can find details about Deep3D: a system for the automatic conversion of 2D video to 3D video which

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Aleksander Holynski @holynski_ ·

15 Sep

Check out our new paper that turns a (single image) => (interactive dynamic scene)!

I’ve had so much fun playing around with this demo.

Try it out yourself on the website: http://generative-dynamics.github.io/

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Georgios Kopanas @gkopanas ·

4 Sep

The most important factor that determines the quality of a reconstruction is not the actual NeRF variant you are using but rather where you place the cameras.

We give insights on practical ways to solve this problem in realistic environments.

https://arxiv.org/abs/2309.00014

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