activity
20102023
most citedIndoor Semantic Segmentation using depth information

339 citations · 830 across the 27 of their papers we have counts for

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Showing 2012Show all

5 papers · 1 filter

cs.MS2012★ 8 cited

Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework

Roland Levillain, Thierry Géraud, Laurent Najman

Digital Geometry software should reflect the generality of the underlying mathe- matics: mapping the latter to the former requires genericity. By designing generic solutions, one c…

cs.DM2012★ 16 cited

On morphological hierarchical representations for image processing and spatial data clustering

Pierre Soille, Laurent Najman

Hierarchical data representations in the context of classi cation and data clustering were put forward during the fties. Recently, hierarchical image representations have gained re…

cs.CV2012★ 4 cited

An efficient hierarchical graph based image segmentation

Silvio Jamil F. Guimarães, Jean Cousty, Yukiko Kenmochi +1

Hierarchical image segmentation provides region-oriented scalespace, i.e., a set of image segmentations at different detail levels in which the segmentations at finer levels are ne…

cs.CV2012★ 55 cited

Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations

Yongchao Xu, Thierry Géraud, Laurent Najman

Connected operators are filtering tools that act by merging elementary regions of an image. A popular strategy is based on tree-based image representations: for example, one can co…

cs.CV2012★ 134 cited

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers

Clément Farabet, Camille Couprie, Laurent Najman +1

Scene parsing, or semantic segmentation, consists in labeling each pixel in an image with the category of the object it belongs to. It is a challenging task that involves the simul…