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Ergonomie et expérience utilisateurIA et apprentissage statistiqueInteractions Humain-SystèmeTraitement de signaux, d’images et du langage

Expertises équipes

Apprentissage profond pour toutes les modalités d'imagesPerception visuelle et Qualité d'expérienceRéalité Virtuelle et Interaction Humain-MachineReprésentation et formats des Contenus Visuels

Harold Mouchere

HDR

Enseignant chercheur / Enseignante chercheuse – Professeur / professeure des universités

Equipe : IPI

Employeur : Nantes Université

Expertises :

Analyse de documents et reconnaissance de l’écritureImagerie médicaleApprentissage profond pour la vision artificielleReconnaissance de contenus structurés (Graphes)

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Publications déposées sur HAL

Nombre de publications retournées : 142

Revues internationales avec comité de lecture

[1] H. Mouchère, E. Anquetil, N. Ragot. Writer Style Adaptation in On-line Handwriting Recognizers by a Fuzzy Mechanism Approach : The ADAPT Method, in International Journal of Pattern Recognition and Artificial Intelligence, vol. 21, no. 1, pp. 99-116, DOI

[2] H. Mouchère, J. Li, C. Viard-Gaudin, Z. Chen. A dynamic Time Warping Algorithm for Recognition of Multi-Stroke On-Line Handwriten Characters, in Natural Science Edition, Journal of South China University of Technology, vol. 41, no. 7, pp. 107-113, DOI

[3] A. Awal, H. Mouchère, C. Viard-Gaudin. A global learning approach for an online handwritten mathematical expression recognition system, in Pattern Recognition Letters, vol. 35, no. 1, pp. 68-77, DOI

[4] J. Li, H. Mouchère, C. Viard-Gaudin. An annotation assistance system using an unsupervised codebook composed of handwritten graphical multi-stroke symbols, in Pattern Recognition Letters, vol. 35, no. 1, pp. pp. 46-57, DOI

[5] H. Mouchère, R. Zanibbi, U. Garain, C. Viard-Gaudin. Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014, in International Journal on Document Analysis and Recognition, vol. 19, no. 2, pp. 173–189, DOI

[6] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Combining Speech and Handwriting Modalities for Mathematical Expression Recognition, in IEEE Transactions on Human-Machine Systems, vol. 47, no. 2, pp. 259-272, DOI

[7] C. Wang, H. Mouchère, A. Lemaitre, C. Viard-Gaudin. Online flowchart understanding by combining max-margin Markov random field with grammatical analysis, in International Journal on Document Analysis and Recognition, vol. 20, no. 2, pp. 123-136, DOI

[8] T. Zhang, H. Mouchère, C. Viard-Gaudin. A tree-BLSTM-based recognition system for online handwritten mathematical expressions, in Neural Computing and Applications, DOI

[9] F. Julca-Aguilar, H. Mouchère, C. Viard-Gaudin, N. Hirata. A general framework for the recognition of online handwritten graphics, in International Journal on Document Analysis and Recognition, DOI

[10] A. de Maissin, R. Vallée, M. Flamant, M. Fondain-Bossiere, C. Berre, A. Coutrot, N. Normand, H. Mouchère, S. Coudol, C. Trang, A. Bourreille. Multi-expert annotation of Crohn’s disease images of the small bowel for automatic detection using a convolutional recurrent attention neural network, in Endoscopy International Open, vol. 09, no. 07, pp. E1136 – E1144, DOI

[11] C. Nich, J. Behr, V. Crenn, N. Normand, H. Mouchère, G. D’assignies. Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future, in International Orthopaedics, DOI

[12] T. Gomez, M. Feyeux, J. Boulant, N. Normand, L. David, P. Paul-Gilloteaux, T. Fréour, H. Mouchère. A time-lapse embryo dataset for morphokinetic parameter prediction, in Data in Brief, pp. 108258, DOI

[13] T. Gomez, T. Fréour, H. Mouchère. Beyond deep learning: automatic morpho-kinetic parameter extraction using spatial attention, in Human Reproduction, vol. 37, no. Supplement_1, DOI

[14] T. Gomez, S. Ling, T. Fréour, H. Mouchère. BR-NPA : a non-parametric high-resolution attention model to improve the interpretability of attention, in Pattern Recognition, vol. 132, pp. 108927, DOI

[15] T. Gomez, H. Mouchère. Computing and evaluating saliency maps for image classification: a tutorial, in Journal of Electronic Imaging, vol. 32, no. 02, pp. 23, DOI

[16] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Model-based inexact graph matching on top of DNNs for semantic scene understanding, in Computer Vision and Image Understanding, vol. 235, pp. 103744, DOI

[17] T. Truong, C. Nguyen, R. Zanibbi, H. Mouchère, M. Nakagawa. A Survey on Handwritten Mathematical Expression Recognition: The Rise of Encoder-Decoder and GNN Models, in Pattern Recognition, DOI

[18] R. Rouveyre, T. Subileau-Langlois, T. Gomez, H. Mouchère, A. Bourreille, C. Le Berre. P445 Wireless capsule endoscopy reading support for Crohn’s disease patients using deep neural networks with an active learning method, in Journal of Crohn's and Colitis, vol. 18, no. Supplement_1, pp. i908-i908, DOI

[19] R. Vallée, T. Gomez, A. Bourreille, N. Normand, H. Mouchère, A. Coutrot. Influence of training and expertise on deep neural network attention and human attention during a medical image classification task, in Journal of Vision, vol. 24, no. 4, pp. 6, DOI

[20] Y. Xie, R. Zanibbi, H. Mouchère. Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition, in Pattern Recognition, vol. 178, pp. 113410, DOI

[21] Y. El Ghazi, A. Laurent, K. Subrin, S. Levilly, H. Mouchère, O. Cardin. High-level multi-robot coordination in a shared workspace for pick-and-place operations using MILP optimization and heuristic for conflict resolution, in Robotics and Autonomous Systems, pp. 105465, DOI

[22] T. Fréour, G. Anichini, M. Gaillard, H. Mouchère. Explainability of Artificial Intelligence (AI) tools in Assisted Reproductive Technologies (ART): promise, clinical reality, and conceptual limits, in Human Reproduction, DOI

Revues nationales avec comité de lecture

[23] A. Almousa Almaksour, H. Mouchère, E. Anquetil. Apprentissage incrémental avec peu de données pour la reconnaissance de caractères manuscrits en-ligne, in Traitement du Signal, pp. 00,

[24] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Approches multimodales pour la reconnaissance d’expressions mathématiques, in Document numérique – Revue des sciences et technologies de l'information. Série Document numérique, vol. 17, no. 3, pp. 97-122,

[25] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Approches multimodales pour la reconnaissance d'expressions mathématiques. Collaboration des modalités audio et écriture manuscrite en-ligne., in Document numérique – Revue des sciences et technologies de l'information. Série Document numérique, vol. 17, no. 3, pp. 97-122,

[26] T. Zhang, H. Mouchère, C. Viard-Gaudin. Using BLSTM for interpretation of 2-D languages, in Document numérique – Revue des sciences et technologies de l'information. Série Document numérique, vol. 19, no. 2, DOI

Conférences internationales avec comité de lecture et actes

[27] H. Mouchère, E. Anquetil, N. Ragot. Writer Style Adaptation of On-line Handwriting Recognizers: A Fuzzy Mechanism Approach, in International Graphonomics Society, Salerno, Italie,

[28] H. Mouchère, E. Anquetil. A Unified Strategy to Deal with Different Natures of Reject, in International Conference on Pattern Recognition, Hong-Kong, R.A.S. chinoise de Hong Kong, DOI

[29] S. Bayoudh, H. Mouch?e, L. Miclet, E. Anquetil. Learning a classifier with very few examples: knowledg based and analogy generation of new exemples for character recognition., in European Conference on Machine Learning, Warsaw, Pologne, DOI

[30] H. Mouchère, S. Bayoudh, E. Anquetil, L. Miclet. Synthetic On-line Handwriting Generation by Distortions and Analogy, in in 13th Conference of the International Graphonomics Society (IGS2007), Melbourne, Australie,

[31] A. Almaksour, H. Mouchère, E. Anquetil. Fast Online Incremental Learning with Few Examples For Online Handwritten Character Recognition, in Proceedings of the Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR'08), Montréal, Canada,

[32] A. Almousa Almaksour, H. Mouchère, E. Anquetil. Fast Online Incremental Learning with Few Examples For Online Handwritten Character Recognition., in Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR'08), Canada,

[33] A. Almaksour, H. Mouchère, E. Anquetil. Apprentissage incrémental et synthèse de données pour la reconnaissance de caractères manuscrits en-ligne, in Colloque International Francophone sur l'Ecrit et le Document, France,

[34] F. Lotte, H. Mouchère, A. Lécuyer. Pattern Rejection Strategies for the Design of Self-Paced EEG-based Brain-Computer Interfaces, in International Conference on Pattern Recognition, Tampa, états-Unis,

[35] A. Awal, H. Mouchère, C. Viard-Gaudin. Towards Handwritten Mathematical Expressions Recognition, in 10th International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelone, Espagne, DOI

[36] A. Awal, H. Mouchère, C. Viard-Gaudin. A Hybrid Classifier for Handwritten Mathematical Expression Recognition, in Electronic Imaging: Document Recognition and Retrieval XVI, San José, états-Unis, DOI

[37] A. Awal, H. Mouchère, C. Viard-Gaudin. Apprentissage de relations spatiales pour la reconnaissance d'expressions mathématiques manuscrites en-ligne, in Colloque International Francophone sur l'Ecrit et le Document (CIFED2010), France,

[38] A. Delaye, H. Mouchère. Vers une approche générique pour la reconnaissance de formes manuscrites structurées : Application aux équations mathématiques et aux caractères chinois, in Colloque International Francophone sur l'Ecrit et le Document (CIFED2010), Sousse, Tunisie,

[39] A. Awal, H. Mouchère, C. Viard-Gaudin. Improving online handwritten mathematical expressions recognition with contextual modeling, in International Conference on Frontiers in Handwriting Recognition, Inde, DOI

[40] A. Awal, H. Mouchère, C. Viard-Gaudin. The Problem of Handwritten Mathematical Expression Recognition Evaluation, in International Conference on Frontiers in Handwriting Recognition, Calcutta, Inde, DOI

[41] H. Yan, L. Jin, C. Viard-Gaudin, H. Mouchère. SCUT-COUCH2009-TL: An Unconstrained Online Handwritten Chinese Text Lines Dataset, in International Conference on Frontiers in Handwriting Recognition, Inde,

[42] A. Awal, G. Feng, H. Mouchère, C. Viard-Gaudin. First Experiments on a new Online Handwritten Flowchart Database, in Document Recognition and Retrieval XVIII, San Fransisco, états-Unis, DOI

[43] A. Lemaitre, H. Mouchère, J. Camillerapp, B. Coüasnon. Interest of Syntactic Knowledge for On-line Flowchart Recognition, in Graphics Recognition, GREC 2011, Corée du Nord,

[44] H. Mouchère, C. Viard-Gaudin, U. Garain, D. Kim, J. Kim. CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions, in 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, Chine,

[45] J. Li, H. Mouchère, C. Viard-Gaudin. Symbol Knowledge Extraction from a Simple Graphical Language, in 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, Chine,

[46] R. Zanibbi, A. Pillay, H. Mouchère, C. Viard-Gaudin, D. Blostein. Stroke-Based Performance Metrics for Handwritten Mathematical Expressions, in 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, Chine,

[47] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Handwritten and Audio Information Fusion for Mathematical Symbol Recognition, in 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, Chine,

[48] S. Quiniou, H. Mouchère, S. Peña Saldarriaga, C. Viard-Gaudin, E. Morin, S. Petitrenaud, S. Medjkoune. HAMEX – a Handwritten and Audio Dataset of Mathematical Expressions, in 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, Chine,

[49] J. Li, H. Mouchère, C. Viard-Gaudin. UNSUPERVISED HANDWRITTEN GRAPHICAL SYMBOL LEARNING Using Minimum Description Length Principle on Relational Graph, in International Conference on Knowledge Discovery and Information Retrieval, KDIR 2011, Paris, France,

[50] H. Mouchère, C. Viard-Gaudin, D. Kim, J. Kim, U. Garain. ICFHR 2012 – Competition on Recognition of On-line Mathematical Expressions (CROHME 2012), in ICFHR 2012, Bari, Italie,

[51] J. Li, H. Mouchère, C. Viard-Gaudin. Quantifying spatial relations to discover handwritten graphical symbols, in Document Recognition and Retrieval XIX, Part of the IS&T/SPIE 24th Annual Symposium on Electronic Imaging, San Francisco, états-Unis,

[52] J. Li, H. Mouchère, C. Viard-Gaudin. Reducing AnnotationWorkload Using a Codebook Mapping and its Evaluation in On-Line Handwriting, in 2012 International Conference on Frontiers in Handwriting Recognition, Bari, Italie,

[53] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Using Speech for Handwritten Mathematical Expression Recognition Disambiguation, in 2012 International Conference on Frontiers in Handwriting Recognition, Bari, Italie,

[54] R. Zanibbi, H. Mouchère, C. Viard-Gaudin. Evaluating Structural Pattern Recognition for Handwritten Math via Primitive Label Graphs, in Proceedings of SPIE, the International Society for Optical Engineering, vol. 8658, pp. 865817-865817-11, in Document Recognition and Retrieval XX, Burlingame, états-Unis, DOI

[55] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Using Online Handwriting and Audio Streams for Mathematical Expressions Recognition: a Bimodal Approach, in Proceedings of SPIE, the International Society for Optical Engineering, vol. 8658, pp. 865810-865810-11, in Document Recognition and Retrieval XX, Burlingame, états-Unis, DOI

[56] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Multimodal Mathematical Expressions Recognition: Case of Speech and Handwriting, in Lecture Notes in Computer Science, vol. 8007, pp. 77-86, in 15th International Conference on Human-Computer Interaction, Las Vegas, états-Unis, DOI

[57] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain, D. Kim, J. Kim. ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions, in International Conference on Document Analysis and Recognition, Washington, DC, états-Unis,

[58] F. Julca-Aguilar, C. Viard-Gaudin, H. Mouchère, S. Medjkoune, N. Hirata. Integration of Shape Context and Neural Networks for Symbol Recognition, in Colloque International Francophone sur l’Écrit et le Document 2014 (CIFED), Nancy, France,

[59] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Vers l’Alignement des Signaux Écrit et Sonore, in Colloque International Francophone sur l’Écrit et le Document 2014 (CIFED), Nancy, France,

[60] F. Julca-Aguilar, N. Hirata, C. Viard-Gaudin, H. Mouchère, S. Medjkoune. Mathematical symbol hypothesis recognition with rejection option, in 14th International Conference on Frontiers in Handwriting Recognition, Crete, Grèce, DOI

[61] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. ICFHR 2014 Competition on Recognition of On-line Handwritten Mathematical Expressions (CROHME 2014), in International Conference on Frontiers in Handwriting Recognition, Crete, Grèce,

[62] S. Medjkoune, H. Mouchère, C. Viard-Gaudin, S. Petitrenaud. Text Alignment from Bimodal Mathematical Expression Sources, in 14th International Conference on Frontiers in Handwriting Recognition, Crete, Grèce, DOI

[63] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. A graph modeling strategy for multi-touch gesture recognition, in 14th International Conference on Frontiers in Handwriting Recognition (ICFHR-2014), Crete island, Grèce,

[64] T. Zhang, H. Mouchère, C. Viard-Gaudin. On-line Handwritten Isolated Symbol Recognition using Bidirectional Long Short-term Memory (BLSTM) Networks, in Third Sino-French Workshop on Education and Research collaborations in Information and Communication Technologies SIFWICT 2015, Nantes, France,

[65] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching, in 17th Biennial Conference of the International Graphonomics Society, Pointe-à-Pitre, France,

[66] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. Recognize multi-touch gestures by graph modeling and matching, in 17th Biennial Conference of the International Graphonomics Society, Pointe-à-Pitre, Guadeloupe,

[67] F. Julca-Aguilar, H. Mouchère, C. Viard-Gaudin, N. Hirata. Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar, in 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings, Montevideo, Uruguay, DOI

[68] T. Zhang, H. Mouchère, C. Viard-Gaudin. Using BLSTM for Interpretation of 2D Languages – Case of Handwritten Mathematical Expressions, in Colloque International Francophone sur l’Écrit et le Document 2016 (CIFED), Toulouse, France,

[69] C. Wang, H. Mouchère, C. Viard-Gaudin, L. Jin. Combined Segmentation and Recognition of Online Handwritten Diagrams with High Order Markov Random Field, in International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, Chine,

[70] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. ICFHR 2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions, in International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, Chine,

[71] T. Zhang, H. Mouchère, C. Viard-Gaudin. Online Handwritten Mathematical Expressions Recognition by Merging Multiple 1D Interpretations, in International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, Chine,

[72] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment, in International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, Chine,

[73] Z. Chen, E. Anquetil, H. Mouchère, C. Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment, in 15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, Chine,

[74] Z. Zhong, P. Weishen, H. Mouchère, C. Viard-Gaudin, J. Lianwen. SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents, in International Conference on Frontiers in Handwriting Recognition (ICFHR), Shenzhen, Chine, DOI

[75] F. Julca-Aguilar, N. Hirata, H. Mouchère, C. Viard-Gaudin. Subexpression and Dominant Symbol Histograms for Spatial Relation Classiﬁcation in Mathematical Expressions, in 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexique,

[76] Z. Chen, H. Mouchère, E. Anquetil, C. Viard-Gaudin. Early Recognition of Handwritten Gestures based on Multi-classifier Reject Option, in 14th IAPR International Conference on Document Analysis and Recognition (ICDAR2017), Kyoto, Japon, DOI

[77] T. Zhang, H. Mouchère, C. Viard-Gaudin. Tree-based BLSTM for mathematical expression recognition, in International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japon, DOI

[78] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Transfer Learning for Handwriting Recognition on Historical Documents, in 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Madeira, Portugal, DOI

[79] G. Roman-Jimenez, C. Viard-Gaudin, A. Granet, H. Mouchère. Transfer Learning for Structures Spotting in Unlabeled Handwritten Documents using Randomly Generated Documents, in International Conference on Pattern Recognition Applications and Methods, Madeira, Portugal, DOI

[80] J. Langlois, H. Mouchère, N. Normand, C. Viard-Gaudin. 3D Orientation Estimation of Industrial Parts from 2D Images using Neural Networks, in International Conference on Pattern Recognition Applications and Methods, Madeira, Portugal, DOI

[81] A. de Maissin, T. Gomez, C. Le Berre, N. Normand, H. Mouchère, C. Trang, A. Bourreille. Computer aided detection of Crohn’s disease small bowel lesions in wireless capsule endoscopy, in 13th European Crohn's and Colitis Organisation – ECCO, Vienna, Autriche, DOI

[82] A. Granet, B. Hervy, G. Roman Jimenez, M. Hachicha, E. Morin, H. Mouchère, S. Quiniou, G. Raschia, F. Rubellin, C. Viard-Gaudin. Crowdsourcing-based Annotation of the Accounting Registers of the Italian Comedy, in 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japon,

[83] A. Granet, E. Morin, S. Quiniou, C. Viard-Gaudin, H. Mouchère. Separating Optical and Language Models through Encoder-Decoder Strategy for Transferable Handwriting Recognition, in 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), Niagara Falls, Canada, DOI

[84] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources, in 27th International Conference on Computational Linguistics (COLING), Santa Fe, NM, états-Unis,

[85] J. Langlois, H. Mouchère, N. Normand, C. Viard-Gaudin. On The Fly Generated Data for Industrial Part Orientation Estimation with Deep Neural Networks, in Fifteenth International Conference on Quality Control by Artificial Vision, Mulhouse, France, DOI

[86] R. Vallée, A. de Maissin, H. Mouchère, A. Boureille, A. Coutrot, N. Normand. Réseau de neurones récurrent à attention pour la détection de lésions intestinales, in ORASIS, Saint-Dié-des-Vosges, France,

[87] M. Mahdavi, R. Zanibbi, H. Mouchère, C. Viard-Gaudin, U. Garain. ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection, in 15th IAPR International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australie,

[88] R. Vallée, A. Coutrot, N. Normand, H. Mouchère. Accurate small bowel lesions detection in wireless capsule endoscopy images using deep recurrent attention neural network, in IEEE 21st International Workshop on Multimedia Signal Processing (MMSP 2019), Kuala Lumpur, Malaisie, DOI

[89] R. Vallée, A. de Maissin, A. Coutrot, H. Mouchère, A. Bourreille, N. Normand. CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms, in SPIE Medical Imaging, Houston, France, DOI

[90] J. Chopin, J. Fasquel, H. Mouchère, R. Dayot, I. Bloch. Semantic image segmentation based on spatial relationships and inexact graph matching, in International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, France, DOI

[91] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Anchors vs Attention: Comparing XAI on a Real-Life Use Case, in ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges, Virtual, France, DOI

[92] R. Vallée, A. Coutrot, N. Normand, H. Mouchère. Influence of expertise on human and machine visual attention in a medical image classification task, in European Conference on Visual Perception, online, France, DOI

[93] E. Mohamed Moussa, T. Lelore, H. Mouchère. Applying End-to-end Trainable Approach on Stroke Extraction in Handwritten Math Expressions Images, in ICDAR 2021 : 16th International Conference on Document Analysis and Recognition, Lausanne, Suisse, DOI

[94] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Improving semantic segmentation with graph-based structural knowledge, in ICPRAI 2022 – Third International Conference on Pattern Recognition and Artificial Intelligence, Paris, France, DOI

[95] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. QAP Optimisation with Reinforcement Learning for Faster Graph Matching in Sequential Semantic Image Analysis, in International Conference on Pattern Recognition and Artificial Intelligence, Paris, France, DOI

[96] T. Gomez, T. Fréour, H. Mouchère. Metrics for saliency map evaluation of deep learning explanation methods, in International Conference on Pattern Recognition and Artificial Intelligence, Paris, France, DOI

[97] B. Rolf, N. Mebarki, S. Lang, T. Reggelin, O. Cardin, A. Dolgui, H. Mouchère. Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework, in MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France, DOI

[98] T. Gomez, T. Fréour, H. Mouchère. Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study, in XAI Workshop (ICPR 2022), Montréal, Canada, DOI

[99] W. Wang, T. Zhang, X. Jin, H. Mouchère, X. Yu. Improving Oracle Bone Characters Recognition via A CycleGAN-based Data Augmentation Method, in International Conference on Neural Information Processing (ICONIP), New Delhi, Inde,

[100] J. Xing, H. Mouchère. Contrastive Self-Supervised Learning on Crohn's Disease Detection, in The 6th International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2022), Las Vegas, états-Unis,

[101] E. Mohamed Moussa, T. Lelore, H. Mouchère. Point to segment distance DTW for online handwriting signals matching, in ICPRAM 2023, Lisbonne, Portugal, DOI

[102] Y. Xie, H. Mouchère, F. Simistira Liwicki, S. Rakesh, R. Saini, M. Nakagawa, C. Nguyen, T. Truong. ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions, in 17th International Conference Document Analysis and Recognition – ICDAR 2023, San josé, CA,, états-Unis, DOI

[103] E. Mohamed Moussa, T. Lelore, H. Mouchère. SET, SORT! A Novel Sub-Stroke Level Transformers for Offline Handwriting to Online Conversion, in The 17th International Conference on Document Analysis and Recognition (ICDAR 2023), San José, CA, états-Unis, DOI

[104] L. Cudilla, S. Perrin, Y. Xie, H. Mouchère, I. Marthot-Santaniello. Homer restored: Virtual reconstruction of Papyrus Bodmer 1, in HIP '23: 7th International Workshop on Historical Document Imaging and Processing, San Jose, France, DOI

[105] S. Tarride, T. Faine, M. Boillet, H. Mouchère, C. Kermorvant. Handwritten Text Recognition from Crowdsourced Annotations, in HIP '23: 7th International Workshop on Historical Document Imaging and Processing, San Jose CA USA, France, DOI

[106] Y. El Ghazi, K. Subrin, S. Levilly, H. Mouchère, O. Cardin. Task allocation and motion planning strategies for multi-robot cooperation, in 13th International Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA2023), Annecy, France, DOI

[107] G. de Gregorio, S. Perrin, R. Pena, I. Marthot-Santaniello, H. Mouchère. NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval, in Workshop on Computational Paleography (WCP), Athenes, Grece, Grèce, DOI

[108] Y. Xie, H. Mouchère. Stroke-Level Graph Labeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition, in International Conference on Document Analysis and Recognition, Athenes, Grece, Grèce, DOI

[109] S. Perrin, S. Levilly, H. Mouchère, J. Serfaty. Évaluation des CNN pour la super-résolution de l’IRM de flux 4D, in Colloque du GRETSI (Groupe de Recherche et d'Etudes de Traitement du Signal et des Images), Strasbourg, France,

[110] M. Zouaid, Y. Xie, H. Mouchère. Boosting Handwritten Mathematical Expression Recognition through Contextual Reasoning with Vision Large Language Models (vLLMs), in ICDAR 2025 Workshop, Wuhan, Chine, DOI

[111] Y. Xie, H. Mouchère. TST: Tree Structured Transformer for Handwritten Mathematical Expression Recognition, in International Conference on Document Analysis and Recognition – ICDAR 2025, Wuhan, Chine, DOI

[112] S. Perrin, S. Levilly, H. Mouchère, J. Serfaty. Super-Resolution and Segmentation of 4D Flow MRI Using Deep Learning and Weighted Mean Frequencies, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, Corée du Sud, DOI

[113] S. Perrin, S. Levilly, H. Sun, H. Mouchère, J. Serfaty. Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation, in 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, Daejeon, Corée du Sud, DOI

[114] Y. El Ghazi, K. Subrin, H. Mouchère, O. Cardin. Coupled vs. Decoupled Motion Planning for Four-Robotic Arm Manipulation in a Shared Workspace: An Empirical Study, in 2025 7th International Conference on Control and Robotics (ICCR), Kyoto, Japon, DOI

[115] S. Perrin, S. Levilly, H. Mouchère, J. Serfaty. Faster 4D Flow MRI Scan with 3D Arbitrary-Scale Super-Resolution, in 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), Londres, Royaume-Uni,

[116] I. Haj Ali, H. Mouchère. Spatially-Grounded Gaussian-Prior Attention for Handwritten Mathematical Expression Recognition, in International Conference on Document Analysis and Recognition – ICDAR 2026, Vienne, Autriche, DOI

[117] Y. Xie, Z. Qian, Y. Li, H. Mouchère, D. Rabouin. Leibniz-HME : A Multi-level Mathematical Expression Dataset from Leibniz's Manuscripts, in ICDAR 2026: 20th International Conference on Document Analysis and Recognition, Vienna, Autriche,

[118] I. Haj Ali, H. Mouchère. MLCANet: Multi-Level Cross Attention Network for Handwritten Signature Verification, in 30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Dublin, Irlande,

[119] S. Perrin, P. Rygiel, A. Ranem, B. de Wilde, S. Levilly, J. M. Wolterink, H. Mouchère. Hemodynamic Neural Field: Continuous Blood Flow Estimation in Vessel Geometries via Global Shape Conditioning, in Off-Grid: 1st Workshop on Continuous Representations and Grid-Free Methods in Medical Imaging, Strasbourg, France,

Conférences nationales avec comité de lecture et actes

[120] H. Mouchère, E. Anquetil, N. Ragot. Étude des mécanismes d'adaptation pour l'optimisation de classifieurs flous dans le cadre de la reconnaissance d'écriture manuscrite, in 12èmes rencontres francophones sur la Logique Floue et ses Applications (LFA'04), Nantes, France,

[121] H. Mouchère, E. Anquetil, N. Ragot. On-line writer adaptation for handwriting recognition using fuzzy inference systems, in 8th International Conference on Document Analysis and Recognition – ICDAR'05, Seoul/Korea,

[122] H. Mouchère, E. Anquetil. Synthèse de caractères manuscrits en-ligne pour la reconnaissance de l'écriture, in International Francophone sur l'Ecrit et le Document, Fribourg, Suisse,

[123] H. Mouchère, E. Anquetil, N. Ragot. Etude et gestion des types de rejet pour l'optimisation de classifieurs, in 15eme congrès francophone Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006), Tours, France,

[124] H. Mouchère, E. Anquetil. Generalization Capacity of Handwritten Outlier Symbols Rejection with Neural Network, in Tenth International Workshop on Frontiers in Handwriting Recognition, La Baule (France),

[125] A. Awal, H. Mouchère, C. Viard-Gaudin. Un classifieur hybride pour la reconnaissance d'expressions mathématiques manuscrites en-ligne, in 17ème Congrès Reconnaissance des Formes et Intelligence Artificielle (RFIA), Caen, France,

[126] J. Li, H. Mouchère, C. Viard-Gaudin. Une distance entre deux ensembles de séquences avec la contrainte de continuité, in Colloque International Francophone sur l'Ecrit et le Document (CIFED2012), Bordeaux, France,

[127] S. Medjkoune, H. Mouchère, S. Petitrenaud, C. Viard-Gaudin. Fusion d'Informations Bi-modales pour la Reconnaissance d'Expressions Mathématiques : Cas des modalités audio et écriture manuscrite en ligne, in Colloque International Francophone sur l'Ecrit et le Document (CIFED2012), Bordeaux, France,

[128] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Étude préliminaire de reconnaissance d'écriture sur des documents historiques, in Rencontre des Jeunes Chercheurs en Recherche d'Information (RJCRI), Marseille, France,

[129] A. Granet, E. Morin, H. Mouchère, S. Quiniou, C. Viard-Gaudin. Décodeur neuronal pour la transcription de documents manuscrits anciens, in 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Rennes, France,

[130] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Tour d’horizon autour de l’explicabilité des modèles profonds, in Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), Angers, France,

[131] J. Chopin, J. Fasquel, H. Mouchère, I. Bloch, R. Dahyot. Méthode d’analyse sémantique d’images combinant apprentissage profond et relations structurelles par appariement de graphes, in Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), Angers, France,

[132] T. Gomez, H. Mouchère, T. Fréour, M. Feyeux. Apprentissage profond appliqué à la classification d’images microscopiques embryonnaires, in Rencontres des Jeunes Chercheur·ses en Intelligence Artificielle (RJCIA 2020), Angers, France,

[133] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. Ancres vs Attention : comparaison de méthodes d’explicabilité des réseaux profonds sur un cas d’usage réel, in 21èmes Journées Francophones Extraction et Gestion des Connaissances (EGC) – Atelier "DL for NLP : Deep Learning pour le traitement automatique des langues", Montpellier, France,

[134] Y. El Ghazi, A. Laurent, K. Subrin, S. Levilly, H. Mouchère, O. Cardin. Allocation et coordination des mouvements de robots en espace partagé : une approche par la recherche opérationnelle, in 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), Villeurbanne (France), France,

Ouvrages – Chapitres d'ouvrages et directions d'ouvrages

[135] A. Lemaitre, H. Mouchère, J. Camillerapp, B. Couasnon. Interest of syntactic knowledge for on-line flowchart recognition, DOI

[136] H. Mouchère, C. Viard-Gaudin, R. Zanibbi, U. Garain. Handwritten Mathematical Expressions,

[137] H. Mouchère. Principe de fonctionnement et application de l'IA,

[138] G. Jouis, H. Mouchère, F. Picarougne, A. Hardouin. A methodology to compare XAI explanations on natural language processing, DOI

[139] J. Chopin, J. Fasquel, H. Mouchère, R. Dahyot, I. Bloch. Reinforcement Learning and Sequential QAP-Based Graph Matching for Semantic Segmentation of Images, DOI

Theses et HDR

[140] H. Mouchère. Étude des mécanismes d'adaptation et de rejet pour l'optimisation de classifieurs : Application à la reconnaissance de l'écriture manuscrite en-ligne,

[141] H. Mouchère. Reconnaissance de documents manuscrits structurés : Des équations manuscrites aux documents anciens,

Autres publications

[142] H. Mouchère, A. Zhu. Document Analysis and Recognition – ICDAR 2024 Workshops, in International Conference on Document Analysis and Recognition, DOI

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