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
Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching
Matthieu Vilain, Rémi Giraud, Yannick Berthoumieu +1
Dense image matching aims to find a correspondent for every pixel of a source image in a partially overlapping target image. State-of-the-art methods typically rely on a coarse-to-…
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…