3 papers
cs.CV2025
Generalized Shortest Path-based Superpixels for 3D Spherical Image Segmentation
Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu
The growing use of wide angle image capture devices and the need for fast and accurate image analysis in computer visions have enforced the need for dedicated under-representation…
cs.CV2025
Superpixel Anything: A general object-based framework for accurate yet regular superpixel segmentation
Julien Walther, Rémi Giraud, Michaël Clément
Superpixels are widely used in computer vision to simplify image representation and reduce computational complexity. While traditional methods rely on low-level features, deep lear…
cs.CV2024
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem
Rémi Giraud, Michaël Clément
For many years, image over-segmentation into superpixels has been essential to computer vision pipelines, by creating homogeneous and identifiable regions of similar sizes. Such co…