Currently, both OpenCV 2 and OpenCV 3 seem to have some minor issues with CUDA 9. However, CUDA 9 is required for the latest generation of NVidia graphics cards. In this article, based on this StackOverflow question, I want to discuss a very simple patch to get OpenCV 2 running with CUDA 9.
Revised C++ implementations of two popular superpixel algorithms, SEEDS and FH, which are shown to outperform the original implementations.
A comprehensive comparison and evaluation of 28 superpixel algorithms on 5 different datasets; published in CVIU and GCPR.
Running C++ projects on Travis CI may be challenging depending on the libraries used. Here I briefly describe how to run OpenCV and Google GLog on Travis CI.
Efficient C++ implementation for hierarchical graph-based image segmentation.
Efficient C++ implementation of iPiano, a proximal algorithm with inertial force for non-convex and non-smooth optimization; including applications to image segmentation.
This article presents a MatLab MEX wrapper for a fast, multi-label connected components implementation in C++ originally written by Ali Rahimi.
This article presents an OpenCV wrapper for the Flow I/O code provided by the Sintel dataset .
SEEDS Revised is a new implementation of the superpixel algorithm SEEDS  used for evaluation in my bachelor thesis “Superpixel Segmentation using Depth Information”. This article introduces the basic concepts of SEEDS as well as the usage of SEEDS Revised.