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Laurent Najman

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.DM1
ORCID 0000-0002-6190-0235
same name
  • Laurent Najman — 11 papers, h 2
  • Laurent Najman — 9 papers, h 42
  • Laurent Najman — 2 papers, h 3
  • Laurent Najman — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedOn the equivalence between hierarchical segmentations and ultrametric watersheds

63 citations · 172 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Coarse-to-fine crack cue for robust crack detection

Zelong Liu, Yuliang Gu, Zhichao Sun +5

Crack detection is an important task in computer vision. Despite impressive in-dataset performance, deep learning-based methods still struggle in generalizing to unseen domains. Th…

cs.CV2014★ 50 cited

A graph-based mathematical morphology reader

Laurent Najman, Jean Cousty

This survey paper aims at providing a "literary" anthology of mathematical morphology on graphs. It describes in the English language many ideas stemming from a large number of dif…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.