Month: April 2023

Real-world data KITTI vs synthetic data Parallel Domain
Computer Vision Explainable AI Featured Posts Machine Learning Synthetic Data

Autonomous Driving: Boosting Optical Flow with Synthetic Data

Optical flow is defined as the task of estimating per-pixel motion between video frames. Optical flow models take two sequential frames as input and return as output a flow vector that predicts where each pixel in the first frame will be in the second frame. Optical flow is an important task for autonomous driving, but […]

Read More
Featured Posts Machine Learning Stochastic Systems Synthetic Data Visualization

Generating and Videolizing Agglomerative Processes

This short article explains how to efficiently simulate the evolution of agglomerative processes, and visualize their behavior with data animations. I use a generic, simple model for illustration purposes: atoms, initially consisting of one electron, collide and merge over time, with a pre-specified maximum number of electrons per atom: the maximum limit. Given enough time, […]

Read More
Courses Data Sets Deep Learning Explainable AI Featured Posts

Massively Speed-Up your Learning Algorithm, with Stochastic Thinning

Dramatically Speed-Up your Learning Algorithm, with Stochastic Thinning. Includes use case, Python code, regression and neural network illustrations.

Read More