activity
20132025
most citedA fair comparison of many max-tree computation algorithms (Extended version of the paper submitted to ISMM 2013

3 citations · 4 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Improving segmentation of retinal arteries and veins using cardiac signal in doppler holograms

Marius Dubosc, Yann Fischer, Zacharie Auray +4

Doppler holography is an emerging retinal imaging technique that captures the dynamic behavior of blood flow with high temporal resolution, enabling quantitative assessment of reti…

cs.CV2023

Linear Object Detection in Document Images using Multiple Object Tracking

Philippe Bernet, Joseph Chazalon, Edwin Carlinet +2

Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, das…

cs.IR2023

A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents

Solenn Tual, Nathalie Abadie, J Chazalon +2

Named Entity Recognition (NER) is a key step in the creation of structured data from digitised historical documents. Traditional NER approaches deal with flat named entities, where…

cs.CL2023

Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories

Bertrand Duménieu, Edwin Carlinet, Nathalie Abadie +1

When extracting structured data from repetitively organized documents, such as dictionaries, directories, or even newspapers, a key challenge is to correctly segment what constitut…

cs.DM2022

A Proof of the Tree of Shapes in n-D

Thierry GÉraud, Nicolas Boutry, Sébastien Crozet +2

In this paper, we prove that the self-dual morphological hierarchical structure computed on a n-D gray-level wellcomposed image u by the algorithm of G{é}raud et al. [1] is exactly…

cs.CV2021

ICDAR 2021 Competition on Historical Map Segmentation

Joseph Chazalon, Edwin Carlinet, Yizi Chen +9

This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris, France…