Travelled to:1 × China
1 × Spain
3 × USA
Collaborated with:J.Louradour F.Menasri A.Bianne L.Likforman-Sulem B.Moysset A.Bianne-Bernard T.Bluche H.Ney P.Marty C.Mokbel T.Nion C.Sibade T.Retornaz P.Metaireau
Talks about:handwritten (6) recognit (5) depend (3) word (3) document (2) extract (2) context (2) featur (2) model (2) hmm (2)
Person: Christopher Kermorvant
DBLP: Kermorvant:Christopher
Contributed to:
2013
2012201120102009Wrote 8 papers:
- ICDAR-2013-BlucheNK #feature model #network #recognition #word
- Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition (TB, HN, CK), pp. 285–289.
- ICDAR-2013-MoyssetK #algorithm #detection #evaluation #on the
- On the Evaluation of Handwritten Text Line Detection Algorithms (BM, CK), pp. 185–189.
- ICDAR-2013-NionMLSRMK #documentation #information management
- Handwritten Information Extraction from Historical Census Documents (TN, FM, JL, CS, TR, PYM, CK), pp. 822–826.
- DRR-2012-Bianne-BernardMLMK #modelling #recognition #word
- Variable length and context-dependent HMM letter form models for Arabic handwritten word recognition (ALBB, FM, LLS, CM, CK).
- DRR-2012-MenasriLBK #contest #recognition
- The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition (FM, JL, ALBB, CK).
- ICDAR-2011-LouradourK #categorisation #documentation #feature model #image #performance
- Sample-Dependent Feature Selection for Faster Document Image Categorization (JL, CK), pp. 309–313.
- DRR-2010-BianneKL #clustering #modelling #recognition #using #word
- Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words (ALB, CK, LLS), pp. 1–10.
- ICDAR-2009-KermorvantBMM #recognition
- From Isolated Handwritten Characters to Fields Recognition: There’s Many a Slip Twixt Cup and Lip (CK, ALB, PM, FM), pp. 1031–1035.