Aurélie Joseph

33 papers A 1B 5Journal 9Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep metric learning for end-to-end document classification. Neurocomputing Tri-Cong Pham, Mickaël Coustaty, Antoine Doucet, Aurélie Joseph, Vincent Poulain D'Andecy
2025	—	`conf`	Few-Shot Document Classification in Real Applications: Boosting Precision with Novelty Detection. ICDAR (3) Tri-Cong Pham, Mickaël Coustaty, Aurélie Joseph, Gaspar Deloin, Vincent Poulain D'Andecy, Antoine Doucet
2025	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2025	—	`conf`	QUEST: Quality-Aware Semi-supervised Table Extraction for Business Documents. ICDAR (5) Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Gaspar Deloin, Elodie Carel, Vincent Poulain D'Andecy, Jean-Marc Ogier
2025	J	`jnl`	QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents. CoRR Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Gaspar Deloin, Elodie Carel, Vincent Poulain D'Andecy, Jean-Marc Ogier
2025	—	`conf`	RAPTOR: Refined Approach for Product Table Object Recognition. WACV (Workshops) Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Gaspar Deloin, Elodie Carel, Vincent Poulain D'Andecy, Jean-Marc Ogier
2025	J	`jnl`	RAPTOR: Refined Approach for Product Table Object Recognition. CoRR Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Gaspar Deloin, Elodie Carel, Vincent Poulain D'Andecy, Jean-Marc Ogier
2024	—	`conf`	CHIC: Corporate Document for Visual Question Answering. ICDAR (6) Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2024	J	`jnl`	Experimental study of rehearsal-based incremental classification of document streams. Int. J. Document Anal. Recognit. Usman Malik, Muriel Visani, Nicolas Sidere, Mickaël Coustaty, Aurélie Joseph
2024	—	`conf`	Extracting Key-Value Pairs in Business Documents. CORIA Eliott Thomas, Dipendra Sharma Kafle, Ibrahim Souleiman Mahamoud, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy
2024	—	`conf`	Extraction d'information induite par sous-graphes (SETI) appliquée aux documents administratifs. CORIA Dipendra Sharma Kafle, Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Antoine Doucet, Vincent Poulain D'Andecy
2024	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2024	—	`conf`	Privacy-Aware Document Visual Question Answering. ICDAR (6) Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023	J	`jnl`	Automatic classification of company's document stream: Comparison of two solutions. Pattern Recognit. Lett. Joris Voerman, Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2023	J	`jnl`	CHIC: Corporate Document for Visual question Answering. CoRR Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2023	—	`conf`	Extracting Key-Value Pairs in Business Documents. ICDAR Workshops (2) Eliott Thomas, Dipendra Sharma Kafle, Ibrahim Souleiman Mahamoud, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy
2023	—	`conf`	Incremental Learning and Ambiguity Rejection for Document Classification. ICDAR (5) Tri-Cong Pham, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Muriel Visani, Nicolas Sidere
2023	—	`conf`	KAP: Pre-training Transformers for Corporate Documents Understanding. ICDAR Workshops (2) Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2023	—	`conf`	Subgraph-Induced Extraction Technique for Information (SETI) from Administrative Documents. ICDAR Workshops (2) Dipendra Sharma Kafle, Eliott Thomas, Mickaël Coustaty, Aurélie Joseph, Antoine Doucet, Vincent Poulain D'Andecy
2022	B	`conf`	QAlayout: Question Answering Layout Based on Multimodal Attention for Visual Question Answering on Corporate Document. DAS Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2021	—	`conf`	Apprentissage multimodal basé sur des modèles d'attention pour la classification de documents dans un contexte déséquilibré. EGC Ibrahim Souleiman Mahamoud, Joris Voerman, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2021	—	`conf`	Information Extraction from Invoices. ICDAR (2) Ahmed Hamdi, Elodie Carel, Aurélie Joseph, Mickaël Coustaty, Antoine Doucet
2021	—	`conf`	Multimodal Attention-Based Learning for Imbalanced Corporate Documents Classification. ICDAR (3) Ibrahim Souleiman Mahamoud, Joris Voerman, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2021	—	`conf`	Toward an Incremental Classification Process of Document Stream Using a Cascade of Systems. ICDAR Workshops (2) Joris Voerman, Ibrahim Souleiman Mahamoud, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy, Jean-Marc Ogier
2020	B	`conf`	Evaluation of Neural Network Classification Systems on Document Stream. DAS Joris Voerman, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy, Jean-Marc Ogier
2020	J	`jnl`	Evaluation of Neural Network Classification Systems on Document Stream. CoRR Joris Voerman, Aurélie Joseph, Mickaël Coustaty, Vincent Poulain D'Andecy, Jean-Marc Ogier
2019	A	`conf`	Discourse Descriptor for Document Incremental Classification Comparison with Deep Learning. ICDAR Vincent Poulain D'Andecy, Aurélie Joseph, Joaquín Cuenca, Jean-Marc Ogier
2018	B	`conf`	Feature Selection for Document Flow Segmentation. DAS Ahmed Hamdi, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Antoine Doucet, Jean-Marc Ogier
2018	B	`conf`	InDUS: Incremental Document Understanding System Focus on Document Classification. DAS Vincent Poulain D'Andecy, Aurélie Joseph, Jean-Marc Ogier
2017	—	`conf`	Machine Learning vs Deterministic Rule-Based System for Document Stream Segmentation. WML@ICDAR Ahmed Hamdi, Joris Voerman, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier
2016	B	`conf`	Entity Local Structure Graph Matching for Mislabeling Correction. DAS Nihel Kooli, Abdel Belaïd, Aurélie Joseph, Vincent Poulain D'Andecy
2013	—	`conf`	Enhance Multiword Expressions Extraction and Description with Transformational Rules (Améliorer l'extraction et la description d'expressions polylexicales grâce aux règles transformationnelles) [in French]. RÉCITAL Aurélie Joseph
2012	—	`conf`	Pour un étiquetage automatique des séquences verbales figées : état de l'art et approche transformationnelle (For An Automatic Fixed Verbal Sequence Tagging: State Of Art And Transformational Approach) [in French]. JEP-TALN-RECITAL Aurélie Joseph