Travelled to:
1 × Brazil
1 × Canada
1 × China
1 × Japan
1 × Sweden
2 × USA
Collaborated with:
G.Lefebvre Z.Saidane M.Delakis R.Walha F.Drira F.Lebourgeois A.M.Alimi P.Wang V.Eglin C.Largeron C.Laurent J.Ros A.McKenna M.Baccouche F.Mamalet C.Wolf A.Baskurt J.Lladós A.Fornés
Talks about:
recognit (3) spars (3) learn (3) imag (3) dictionari (2) represent (2) approach (2) resolut (2) robust (2) super (2)
Person: Christophe Garcia
DBLP: Garcia:Christophe
Contributed to:
Wrote 9 papers:
- ICPR-2014-WalhaDLGA #approach #image #learning #taxonomy
- Sparse Coding with a Coupled Dictionary Learning Approach for Textual Image Super-resolution (RW, FD, FL, CG, AMA), pp. 4459–4464.
- ICPR-2014-WangEGLLF #approach #distance #documentation #edit distance #graph #word
- A Coarse-to-Fine Word Spotting Approach for Historical Handwritten Documents Based on Graph Embedding and Graph Edit Distance (PW, VE, CG, CL, JL, AF), pp. 3074–3079.
- ICDAR-2013-WalhaDLGA #clustering #image #multi
- Multiple Learned Dictionaries Based Clustered Sparse Coding for the Super-Resolution of Single Text Image (RW, FD, FL, CG, AMA), pp. 484–488.
- ICDAR-2013-WangEGLM #representation #word
- A Comprehensive Representation Model for Handwriting Dedicated to Word Spotting (PW, VE, CG, CL, AM), pp. 450–454.
- ICPR-2012-BaccoucheMWGB #2d #invariant #learning #recognition #representation #sequence
- Sparse shift-invariant representation of local 2D patterns and sequence learning for human action recognition (MB, FM, CW, CG, AB), pp. 3823–3826.
- ICPR-2008-LefebvreG #probability #recognition #self
- A probabilistic Self-Organizing Map for facial recognition (GL, CG), pp. 1–4.
- ICDAR-2007-SaidaneG #recognition #robust #video
- Robust Binarization for Video Text Recognition (ZS, CG), pp. 874–879.
- ICPR-v2-2006-LefebvreLRG #classification #comparison #image #process
- Supervised Image Classification by SOM Activity Map Comparison (GL, CL, JR, CG), pp. 728–731.
- ICPR-v2-2002-GarciaD #architecture #detection #performance #robust
- A Neural Architecture for Fast and Robust Face Detection (CG, MD), pp. 44–47.