Christopher Kermorvant

Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition

Anne-Laure Bianne-Bernard, F. Menasri, R. Al-Hajj Mohamad et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011 · 122 citations

Engineering, Machine Learning, Handwriting +24

Fully convolutional network with dilated convolutions for handwritten text line segmentation

Guillaume Renton, Yann Soullard, Clément Chatelain et al. · International Journal on Document Analysis and Recognition (IJDAR) · 2018 · 88 citations

Convolutional Neural Network, Fully Convolutional Network, Image Analysis +6

Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

Théodore Bluche, Hermann Ney, Christopher Kermorvant · 2013 · 79 citations

Convolutional Neural Network, Engineering, Machine Learning +17

Dropout Improves Recurrent Neural Networks for Handwriting Recognition

Vu Pham, Théodore Bluche, Christopher Kermorvant et al. · 2014 · 75 citations · Full text

Convolutional Neural Network, Deep Neural Networks, Engineering +14

Tandem HMM with convolutional neural network for handwritten word recognition

Théodore Bluche, Hermann Ney, Christopher Kermorvant · 2013 · 62 citations

Convolutional Neural Network, Engineering, Machine Learning +20