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2020 – today
- 2024
[j13]Thanh-Nghia Truong
, Cuong Tuan Nguyen, Richard Zanibbi, Harold Mouchère, Masaki Nakagawa:
A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognit. 153: 110531 (2024)- [c70]Yejing Xie, Harold Mouchère:
Stroke-Level Graph Labeling with Edge-Weighted Graph Attention Network for Handwritten Mathematical Expression Recognition. ICDAR (5) 2024: 38-55 - [c69]Giuseppe De Gregorio, Simon Perrin, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Harold Mouchère:
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval. ICDAR (Workshops 2) 2024: 71-86 - [e2]Harold Mouchère, Anna Zhu:
Document Analysis and Recognition - ICDAR 2024 Workshops - Athens, Greece, August 30-31, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14935, Springer 2024, ISBN 978-3-031-70644-8 [contents] - [e1]Harold Mouchère, Anna Zhu:
Document Analysis and Recognition - ICDAR 2024 Workshops - Athens, Greece, August 30-31, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14936, Springer 2024, ISBN 978-3-031-70641-7 [contents] - [i9]Giuseppe De Gregorio, Simon Perrin, Rodrigo C. G. Pena, Isabelle Marthot-Santaniello, Harold Mouchère:
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval. CoRR abs/2408.07785 (2024) - 2023
- [j12]Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
Model-based inexact graph matching on top of DNNs for semantic scene understanding. Comput. Vis. Image Underst. 235: 103744 (2023) - [c68]Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant:
Handwritten Text Recognition from Crowdsourced Annotations. HIP@ICDAR 2023: 1-6 - [c67]Simon Perrin, Léopold Cudilla, Yejing Xie, Harold Mouchère, Isabelle Marthot-Santaniello:
Homer restored: Virtual reconstruction of Papyrus Bodmer 1. HIP@ICDAR 2023: 37-42 - [c66]Elmokhtar Mohamed Moussa, Thibault Lelore, Harold Mouchère:
SET, SORT! A Novel Sub-stroke Level Transformers for Offline Handwriting to Online Conversion. ICDAR (1) 2023: 81-97 - [c65]Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong:
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. ICDAR (2) 2023: 553-565 - [c64]Elmokhtar Mohamed Moussa, Thibault Lelore, Harold Mouchère:
Point to Segment Distance DTW for Online Handwriting Signals Matching. ICPRAM 2023: 850-855 - [c63]Younes El Ghazi, Kévin Subrin, Sébastien Levilly, Harold Mouchère, Olivier Cardin:
Task Allocation and Motion Planning Strategies for Multi-robot Cooperation. SOHOMA 2023: 382-393 - [i8]Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
Model-based inexact graph matching on top of CNNs for semantic scene understanding. CoRR abs/2301.07468 (2023) - [i7]Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant:
Handwritten Text Recognition from Crowdsourced Annotations. CoRR abs/2306.10878 (2023) - [i6]Tristan Gomez, Harold Mouchère:
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification. CoRR abs/2311.17876 (2023) - 2022
- [j11]Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère:
BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention. Pattern Recognit. 132: 108927 (2022) - [c62]Jing Xing, Harold Mouchère:
Contrastive Self-Supervised Learning on Crohn's Disease Detection. BIBM 2022: 3407-3414 - [c61]Wei Wang, Ting Zhang, Yiwen Zhao, Xinxin Jin, Harold Mouchère, Xinguo Yu:
Improving Oracle Bone Characters Recognition via A CycleGAN-Based Data Augmentation Method. ICONIP (6) 2022: 88-100 - [c60]Tristan Gomez, Thomas Fréour, Harold Mouchère:
Comparison of Attention Models and Post-hoc Explanation Methods for Embryo Stage Identification: A Case Study. ICPR Workshops (3) 2022: 216-230 - [c59]Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis. ICPRAI (1) 2022: 47-58 - [c58]Tristan Gomez, Thomas Fréour, Harold Mouchère:
Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods. ICPRAI (1) 2022: 84-95 - [c57]Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
Improving Semantic Segmentation with Graph-Based Structural Knowledge. ICPRAI (1) 2022: 173-184 - [i5]Tristan Gomez, Thomas Fréour, Harold Mouchère:
Metrics for saliency map evaluation of deep learning explanation methods. CoRR abs/2201.13291 (2022) - [i4]Tristan Gomez, Magalie Feyeux, Nicolas Normand, Laurent David, Perrine Paul-Gilloteaux, Thomas Fréour, Harold Mouchère:
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction. CoRR abs/2203.00531 (2022) - [i3]Tristan Gomez, Thomas Fréour, Harold Mouchère:
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study. CoRR abs/2205.06546 (2022) - 2021
- [c56]Elmokhtar Mohamed Moussa, Thibault Lelore, Harold Mouchère:
Applying End-to-End Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images. ICDAR (3) 2021: 445-458 - [i2]Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère:
Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model. CoRR abs/2106.02566 (2021) - 2020
- [j10]Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata:
A general framework for the recognition of online handwritten graphics. Int. J. Document Anal. Recognit. 23(2): 143-160 (2020) - [j9]Ting Zhang, Harold Mouchère, Christian Viard-Gaudin:
A tree-BLSTM-based recognition system for online handwritten mathematical expressions. Neural Comput. Appl. 32(9): 4689-4708 (2020) - [c55]Gaëlle Jouis, Harold Mouchère, Fabien Picarougne, Alexandre Hardouin:
Anchors vs Attention: Comparing XAI on a Real-Life Use Case. ICPR Workshops (3) 2020: 219-227 - [c54]Jérémy Chopin, Jean-Baptiste Fasquel, Harold Mouchère, Rozenn Dahyot, Isabelle Bloch:
Semantic image segmentation based on spatial relationships and inexact graph matching. IPTA 2020: 1-6 - [c53]Rémi Vallée, Astrid de Maissin, Antoine Coutrot, Harold Mouchère, Arnaud Bourreille, Nicolas Normand:
CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171Q
2010 – 2019
- 2019
- [c52]Mahshad Mahdavi, Richard Zanibbi, Harold Mouchère, Christian Viard-Gaudin, Utpal Garain:
ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection. ICDAR 2019: 1533-1538 - [c51]Rémi Vallée, Astrid de Maissin, Antoine Coutrot, Nicolas Normand, Arnaud Bourreille, Harold Mouchère:
Accurate small bowel lesions detection in wireless capsule endoscopy images using deep recurrent attention neural network. MMSP 2019: 1-5 - 2018
- [c50]Adeline Granet, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Christian Viard-Gaudin:
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources. COLING 2018: 1474-1484 - [c49]Adeline Granet, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Christian Viard-Gaudin:
Separating Optical and Language Models Through Encoder-Decoder Strategy for Transferable Handwriting Recognition. ICFHR 2018: 309-314 - [c48]Julien Langlois, Harold Mouchère, Nicolas Normand, Christian Viard-Gaudin:
3D Orientation Estimation of Industrial Parts from 2D Images using Neural Networks. ICPRAM 2018: 409-416 - [c47]Geoffrey Roman-Jimenez, Christian Viard-Gaudin, Adeline Granet, Harold Mouchère:
Transfer Learning for Structures Spotting in Unlabeled Handwritten Documents using Randomly Generated Documents. ICPRAM 2018: 417-425 - [c46]Adeline Granet, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Christian Viard-Gaudin:
Transfer Learning for Handwriting Recognition on Historical Documents. ICPRAM 2018: 432-439 - [c45]Adeline Granet, Benjamin Hervy, Geoffrey Roman-Jimenez, Marouane Hachicha, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Guillaume Raschia, Françoise Rubellin, Christian Viard-Gaudin:
Crowdsourcing-based Annotation of the Accounting Registers of the Italian Comedy. LREC 2018 - [c44]Adeline Granet, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Christian Viard-Gaudin:
Décodeur neuronal pour la transcription de documents manuscrits anciens (Neural decoder for the transcription of historical handwritten documents). CORIA-TALN-RJC (TALN) 2018: 183-195 - 2017
- [j8]Chengcheng Wang, Harold Mouchère, Aurélie Lemaitre, Christian Viard-Gaudin:
Online flowchart understanding by combining max-margin Markov random field with grammatical analysis. Int. J. Document Anal. Recognit. 20(2): 123-136 (2017) - [j7]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Combining Speech and Handwriting Modalities for Mathematical Expression Recognition. IEEE Trans. Hum. Mach. Syst. 47(2): 259-272 (2017) - [c43]Adeline Granet, Emmanuel Morin, Harold Mouchère, Solen Quiniou, Christian Viard-Gaudin:
Étude préliminaire de reconnaissance d'écriture sur des documents historiques. CORIA 2017: 425-434 - [c42]Zhaoxin Chen, Éric Anquetil, Christian Viard-Gaudin, Harold Mouchère:
Early Recognition of Handwritten Gestures Based on Multi-Classifier Reject Option. ICDAR 2017: 212-217 - [c41]Ting Zhang, Harold Mouchère, Christian Viard-Gaudin:
Tree-Based BLSTM for Mathematical Expression Recognition. ICDAR 2017: 914-919 - [i1]Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata:
A General Framework for the Recognition of Online Handwritten Graphics. CoRR abs/1709.06389 (2017) - 2016
- [b2]Harold Mouchère:
Reconnaissance de documents manuscrits structurés : Des équations manuscrites aux documents anciens. University of Nantes, France, 2016 - [j6]Ting Zhang, Harold Mouchère, Christian Viard-Gaudin:
Using BLSTM for interpretation of 2-D languages. Case of handwritten mathematical expressions. Document Numérique 19(2-3): 135-157 (2016) - [j5]Harold Mouchère, Richard Zanibbi, Utpal Garain, Christian Viard-Gaudin:
Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011-2014. Int. J. Document Anal. Recognit. 19(2): 173-189 (2016) - [c40]Ting Zhang, Harold Mouchère, Christian Viard-Gaudin:
Using BLSTM for Interpretation of 2D Languages - Case of Handwritten Mathematical Expressions. CORIA-CIFED 2016: 217-232 - [c39]Ting Zhang, Harold Mouchère, Christian Viard-Gaudin:
Online Handwritten Mathematical Expressions Recognition by Merging Multiple 1D Interpretations. ICFHR 2016: 187-192 - [c38]Chengcheng Wang, Harold Mouchère, Christian Viard-Gaudin, Lianwen Jin:
Combined Segmentation and Recognition of Online Handwritten Diagrams with High Order Markov Random Field. ICFHR 2016: 252-257 - [c37]Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchère, Christian Viard-Gaudin:
SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents. ICFHR 2016: 295-300 - [c36]Zhaoxin Chen, Éric Anquetil, Harold Mouchère, Christian Viard-Gaudin:
The MUMTDB Dataset for Evaluating Simultaneous Composition of Structured Documents in a Multi-user and Multi-touch Environment. ICFHR 2016: 379-383 - [c35]Harold Mouchère, Christian Viard-Gaudin, Richard Zanibbi, Utpal Garain:
ICFHR2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions. ICFHR 2016: 607-612 - [c34]Frank D. Julca-Aguilar, Nina S. T. Hirata, Harold Mouchère, Christian Viard-Gaudin:
Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. ICPR 2016: 3446-3451 - 2015
- [c33]Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata:
Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar. CIARP 2015: 444-451 - 2014
- [j4]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Approches multimodales pour la reconnaissance d'expressions mathématiques. Collaboration des modalités audio et écriture manuscrite en-ligne. Document Numérique 17(3): 97-122 (2014) - [j3]Jinpeng Li, Harold Mouchère, Christian Viard-Gaudin:
An annotation assistance system using an unsupervised codebook composed of handwritten graphical multi-stroke symbols. Pattern Recognit. Lett. 35: 46-57 (2014) - [j2]Ahmad-Montaser Awal, Harold Mouchère, Christian Viard-Gaudin:
A global learning approach for an online handwritten mathematical expression recognition system. Pattern Recognit. Lett. 35: 68-77 (2014) - [c32]Frank D. Julca-Aguilar, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune, Nina S. T. Hirata:
Integration of Shape Context and Neural Networks for Symbol Recognition. CORIA-CIFED 2014: 251-259 - [c31]Sofiane Medjkoune, Harold Mouchère, Simon Petit-Renaud, Christian Viard-Gaudin:
Vers l'alignement des signaux écrit et sonore. Application à la reconnaissance des expressions mathématiques. CORIA-CIFED 2014: 341-356 - [c30]Sofiane Medjkoune, Harold Mouchère, Christian Viard-Gaudin, Simon Petit-Renaud:
Text Alignment from Bimodal Mathematical Expression Sources. ICFHR 2014: 205-209 - [c29]Zhaoxin Chen, Éric Anquetil, Harold Mouchère, Christian Viard-Gaudin:
A Graph Modeling Strategy for Multi-touch Gesture Recognition. ICFHR 2014: 259-264 - [c28]Frank D. Julca-Aguilar, Nina S. T. Hirata, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune:
Mathematical Symbol Hypothesis Recognition with Rejection Option. ICFHR 2014: 500-505 - [c27]Harold Mouchère, Christian Viard-Gaudin, Richard Zanibbi, Utpal Garain:
ICFHR 2014 Competition on Recognition of On-Line Handwritten Mathematical Expressions (CROHME 2014). ICFHR 2014: 791-796 - 2013
- [c26]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Using online handwriting and audio streams for mathematical expressions recognition: a bimodal approach. DRR 2013: 865810 - [c25]Richard Zanibbi, Harold Mouchère, Christian Viard-Gaudin:
Evaluating structural pattern recognition for handwritten math via primitive label graphs. DRR 2013: 865817 - [c24]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Multimodal Mathematical Expressions Recognition: Case of Speech and Handwriting. HCI (4) 2013: 77-86 - [c23]Jinpeng Li, Harold Mouchère, Christian Viard-Gaudin, Zhaoxin Chen:
A Multi-stroke Dynamic Time Warping Distance Based on A* Optimization. ICDAR 2013: 1330-1334 - [c22]Harold Mouchère, Christian Viard-Gaudin, Richard Zanibbi, Utpal Garain, Dae Hwan Kim:
ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions. ICDAR 2013: 1428-1432 - 2012
- [c21]Jinpeng Li, Harold Mouchère, Christian Viard-Gaudin:
Quantify spatial relations to discover handwritten graphical symbols. DRR 2012: 82970F - [c20]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Using Speech for Handwritten Mathematical Expression Recognition Disambiguation. ICFHR 2012: 187-192 - [c19]Jinpeng Li, Harold Mouchère, Christian Viard-Gaudin:
Reducing Annotation Workload Using a Codebook Mapping and Its Evaluation in On-Line Handwriting. ICFHR 2012: 752-757 - [c18]Harold Mouchère, Christian Viard-Gaudin, Dae Hwan Kim, Jin Hyung Kim, Utpal Garain:
ICFHR 2012 Competition on Recognition of On-Line Mathematical Expressions (CROHME 2012). ICFHR 2012: 811-816 - 2011
- [c17]Ahmad-Montaser Awal, Guihuan Feng, Harold Mouchère, Christian Viard-Gaudin:
First experiments on a new online handwritten flowchart database. DRR 2011: 78740A - [c16]Aurélie Lemaitre, Harold Mouchère, Jean Camillerapp, Bertrand Coüasnon:
Interest of Syntactic Knowledge for On-Line Flowchart Recognition. GREC 2011: 89-98 - [c15]Jinpeng Li, Christian Viard-Gaudin, Harold Mouchère:
Unsupervised Handwritten Graphical Symbol Learning - Using Minimum Description Length Principle on Relational Graph. KDIR 2011: 172-178 - [c14]Richard Zanibbi, Amit Pillay, Harold Mouchère, Christian Viard-Gaudin, Dorothea Blostein:
Stroke-Based Performance Metrics for Handwritten Mathematical Expressions. ICDAR 2011: 334-338 - [c13]Sofiane Medjkoune, Harold Mouchère, Simon Petitrenaud, Christian Viard-Gaudin:
Handwritten and Audio Information Fusion for Mathematical Symbol Recognition. ICDAR 2011: 379-383 - [c12]Solen Quiniou, Harold Mouchère, Sebastián Peña Saldarriaga, Christian Viard-Gaudin, Emmanuel Morin, Simon Petitrenaud, Sofiane Medjkoune:
HAMEX - A Handwritten and Audio Dataset of Mathematical Expressions. ICDAR 2011: 452-456 - [c11]Jinpeng Li, Harold Mouchère, Christian Viard-Gaudin:
Symbol Knowledge Extraction from a Simple Graphical Language. ICDAR 2011: 608-612 - [c10]Harold Mouchère, Christian Viard-Gaudin, Dae Hwan Kim, Jin Hyung Kim, Utpal Garain:
CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions. ICDAR 2011: 1497-1500 - [r1]Patrizio Campisi, Emanuele Maiorana, Harold Mouchère, Christian Viard-Gaudin, Alessandro Neri:
Handwriting Analysis. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 531-534 - 2010
- [c9]Ahmad-Montaser Awal, Harold Mouchère, Christian Viard-Gaudin:
A hybrid classifier for handwritten mathematical expression recognition. DRR 2010: 753410 - [c8]Ahmad-Montaser Awal, Harold Mouchère, Christian Viard-Gaudin:
Improving Online Handwritten Mathematical Expressions Recognition with Contextual Modeling. ICFHR 2010: 427-432 - [c7]Hanyu Yan, Lianwen Jin, Christian Viard-Gaudin, Harold Mouchère:
SCUT-COUCH Textline_NU: An Unconstrained Online Handwritten Chinese Text Lines Dataset. ICFHR 2010: 581-586 - [c6]Ahmad-Montaser Awal, Harold Mouchère, Christian Viard-Gaudin:
The Problem of Handwritten Mathematical Expression Recognition Evaluation. ICFHR 2010: 646-651
2000 – 2009
- 2009
- [c5]Ahmad-Montaser Awal, Harold Mouchère, Christian Viard-Gaudin:
Towards Handwritten Mathematical Expression Recognition. ICDAR 2009: 1046-1050 - 2008
- [c4]Fabien Lotte, Harold Mouchère, Anatole Lécuyer:
Pattern rejection strategies for the design of self-paced EEG-based Brain-Computer Interfaces. ICPR 2008: 1-5 - 2007
- [b1]Harold Mouchère:
Étude des mécanismes d'adaptation et de rejet pour l'optimisation de classifieurs : Application à la reconnaissance de l'écriture manuscrite en-ligne. INSA de Rennes, France, 2007 - [j1]Harold Mouchère, Éric Anquetil, Nicolas Ragot:
Writer Style Adaptation in Online Handwriting Recognizers by a Fuzzy Mechanism Approach: the Adapt Method. Int. J. Pattern Recognit. Artif. Intell. 21(1): 99-116 (2007) - [c3]Sabri Bayoudh, Harold Mouchère, Laurent Miclet, Éric Anquetil:
Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition. ECML 2007: 527-534 - 2006
- [c2]Harold Mouchère, Éric Anquetil:
A Unified Strategy to Deal with Different Natures of Reject. ICPR (2) 2006: 792-795 - 2005
- [c1]Harold Mouchère, Éric Anquetil, Nicolas Ragot:
On-line Writer Adaptation for Handwriting Recognition using Fuzzy Inference Systems. ICDAR 2005: 1075
Coauthor Index
[j10] [j9] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [j8] [j7] [c43] [c42] [c41] [i1] [j6] [j5] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j4] [j3] [j2] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [r1] [c9] [c8] [c7] [c6] [c5]
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