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2020 – today
- 2020
[c20]Théodore Bluche, Thibault Gisselbrecht:
Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting. INTERSPEECH 2020: 2552-2556- [i6]Théodore Bluche, Maël Primet, Thibault Gisselbrecht:
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks. CoRR abs/2002.10851 (2020)
2010 – 2019
- 2019
- [c19]Alaa Saade, Joseph Dureau, David Leroy, Francesco Caltagirone, Alice Coucke, Adrien Ball, Clément Doumouro, Thibaut Lavril, Alexandre Caulier, Théodore Bluche, Thibault Gisselbrecht, Maël Primet:
Spoken Language Understanding on the Edge. EMC2@NeurIPS 2019: 57-61 - [i5]Théodore Bluche, Thibault Gisselbrecht:
Predicting detection filters for small footprint open-vocabulary keyword spotting. CoRR abs/1912.07575 (2019) - 2018
- [i4]Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, Joseph Dureau:
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces. CoRR abs/1805.10190 (2018) - [i3]Alaa Saade, Alice Coucke, Alexandre Caulier, Joseph Dureau, Adrien Ball, Théodore Bluche, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet:
Spoken Language Understanding on the Edge. CoRR abs/1810.12735 (2018) - 2017
- [c18]Théodore Bluche, Christopher Kermorvant
, Claude F. Touzet, Hervé Glotin:
Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition. ICDAR 2017: 73-78 - [c17]Théodore Bluche, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro H. Toselli, Enrique Vidal:
Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. ICDAR 2017: 311-316 - [c16]Théodore Bluche, Ronaldo O. Messina:
Gated Convolutional Recurrent Neural Networks for Multilingual Handwriting Recognition. ICDAR 2017: 646-651 - [c15]Théodore Bluche, Jérôme Louradour, Ronaldo O. Messina:
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention. ICDAR 2017: 1050-1055 - 2016
- [c14]Théodore Bluche, Christopher Kermorvant, Hermann Ney, Jérôme Louradour:
La CTC et son intrigant label « blank » : étude comparative de méthodes d'entraînement de réseaux de neurones pour la reconnaissance d'écriture. CORIA-CIFED 2016: 39-54 - [c13]Théodore Bluche, Dominique Stutzmann, Christopher Kermorvant:
Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis. DAS 2016: 42-47 - [c12]Théodore Bluche, Ronaldo O. Messina:
Faster Segmentation-Free Handwritten Chinese Text Recognition with Character Decompositions. ICFHR 2016: 530-535 - [c11]Théodore Bluche:
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition. NIPS 2016: 838-846 - [i2]Théodore Bluche, Jérôme Louradour, Ronaldo O. Messina:
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention. CoRR abs/1604.03286 (2016) - [i1]Théodore Bluche:
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition. CoRR abs/1604.08352 (2016) - 2015
- [b1]Théodore Bluche:
Deep Neural Networks for Large Vocabulary Handwritten Text Recognition. (Réseaux de Neurones Profonds pour la Reconnaissance de Texte Manucrit à Large Vocabulaire). University of Paris-Sud, Orsay, France, 2015 - [c10]Théodore Bluche, Hermann Ney, Jérôme Louradour, Christopher Kermorvant:
Framewise and CTC training of Neural Networks for handwriting recognition. ICDAR 2015: 81-85 - [c9]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
The LIMSI handwriting recognition system for the HTRtS 2014 contest. ICDAR 2015: 86-90 - [c8]Théodore Bluche, Christopher Kermorvant, Jérôme Louradour:
Where to apply dropout in recurrent neural networks for handwriting recognition? ICDAR 2015: 681-685 - 2014
- [c7]Théodore Bluche, Jérôme Louradour, Maxime Knibbe, Bastien Moysset, Mohamed Faouzi BenZeghiba, Christopher Kermorvant:
The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation. Document Analysis Systems 2014: 161-165 - [c6]Vu Pham, Théodore Bluche, Christopher Kermorvant, Jérôme Louradour:
Dropout Improves Recurrent Neural Networks for Handwriting Recognition. ICFHR 2014: 285-290 - [c5]Bastien Moysset, Théodore Bluche, Maxime Knibbe, Mohamed Faouzi BenZeghiba, Ronaldo O. Messina, Jérôme Louradour, Christopher Kermorvant:
The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation. ICFHR 2014: 297-302 - [c4]Théodore Bluche, Bastien Moysset, Christopher Kermorvant:
Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents. ICFHR 2014: 667-672 - [c3]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition. SLSP 2014: 199-210 - 2013
- [c2]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
Tandem HMM with convolutional neural network for handwritten word recognition. ICASSP 2013: 2390-2394 - [c1]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition. ICDAR 2013: 285-289
Coauthor Index
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