Travelled to:
1 × Australia
1 × Brazil
1 × Korea
1 × Spain
1 × USA
1 × United Kingdom
2 × China
2 × Germany
Collaborated with:
P.Héroux S.Adam E.Barbu S.Diana J.Labiche Y.Lecourtier H.Locteau R.Raveaux M.Delalandre S.Nicolas J.Ogier J.C.Lecoq L.Najman O.Gibot A.Ribert E.Clavier M.Laurent F.Jouzel
Talks about:
use (5) document (3) symbol (3) graph (3) imag (3) form (3) represent (2) algorithm (2) recognit (2) cluster (2)
Person: Éric Trupin
DBLP: Trupin:=Eacute=ric
Contributed to:
Wrote 10 papers:
- ICDAR-2007-HerouxBAT #analysis #automation #comprehension #documentation #generative #image
- Automatic Ground-truth Generation for Document Image Analysis and Understanding (PH, EB, SA, ÉT), pp. 476–480.
- ICPR-v2-2006-LocteauRALHT #algorithm #approximate #multi #search-based #using
- Approximation of Digital Curves using a Multi-Objective Genetic Algorithm (HL, RR, SA, YL, PH, ÉT), pp. 716–719.
- ICPR-v3-2006-BarbuRLAHT #algorithm #classification #graph #recognition #search-based #using
- Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition (EB, RR, HL, SA, PH, ÉT), pp. 296–299.
- ICDAR-2005-BarbuHAT #clustering #documentation #image #representation #using
- Clustering document images using a bag of symbols representation (EB, PH, SA, ÉT), pp. 1216–1220.
- MLDM-2005-BarbuHAT #clustering #documentation #graph #image #summary #using
- Clustering Document Images Using Graph Summaries (EB, PH, SA, ÉT), pp. 194–202.
- ICDAR-2003-DelalandreNTO #recognition #representation #xml
- Symbols Recognition by Global-Local Structural Approaches, Based on the Scenarios Use, and with a XML Representation of Data (MD, SN, ÉT, JMO), pp. 1002–1006.
- ICDAR-2001-LecoqNGT #benchmark #metric
- Benchmarking Commercial OCR Engines for Technical Drawings Indexing (JCL, LN, OG, ÉT), pp. 138–1204.
- ICPR-v1-2000-ClavierTLDL #classification #sorting
- Classifiers Combination for Forms Sorting (EC, ÉT, ML, SD, JL), pp. 1932–1935.
- ICPR-1998-HerouxDRT #automation #classification #identification
- Classification method study for automatic form class identification (PH, SD, AR, ÉT), pp. 926–928.
- ICDAR-1997-DianaTJLL
- From Acquisition to Modelisation of a Form Base to Retrieve Information (SD, ÉT, FJ, YL, JL), pp. 762–765.