2023

  • E. Feillet, G. Petit, A. Popescu, C. Hudelot, M. Reyboz (2023) AdvisIL – A Class-Incremental Learning Advisor, WACV
  • G. Petit, A. Popescu, H. Schindler, D. Picard, B. Delezoide (2023) FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning, WACV
  • M. Soumm, A. Popescu. B. Delezoide (2023) Vis2Rec: A Large-Scale Visual Dataset for Visit Recommendation, WACV
  • P. Lerner, O. Ferret, and C. Guinaudeau (2023) Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering, ECIR
  • A. Tuo, R. Besançon, O. Ferret, and J. Tourille (2023) Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection, ECIR
  • N. Hiebel, O. Ferret, K. Fort et A. Névéol (2023) Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French, EACL
  • C. Hanouti, H. Le Borgne (2023) Learning Semantic Ambiguities for Zero-Shot Learning, Multimedia Tools and Applications
  • O. Adjali, P. Grimal, O. Ferret, S. Ghannay, H. Le Borgne (2023) Explicit Knowledge Injection for Knowledge-Aware Visual Question Answering, ICMR
  • H. Schindler, A. Popescu, J. Deshayes-Chossart (2023) Raising User Awareness about the Consequences of Online Photo Sharing, ICMR

2022

  • P. Doubinsky, N. Audebert, M. Crucianu, H. Le Borgne (2022) Multi-attribute balanced sampling for disentangled GAN controls, Pattern Recognition Letters, vol162, pp 56-62
  • Alba García Seco De Herrera, …, Hugo Schindler, Jérôme Deshayes,  Adrian Popescu, … (2022) ImageCLEF 2022: Multimedia Retrieval in Medical,  Nature, Fusion, and Internet Applications, ECIR, 2022
  • P. Lerner, O. Ferret, C. Guinaudeau, H. Le Borgne, R. Besançon, J. Moreno J. Lovón Melgarejo (2022) ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities, SIGIR [code]
  • O. Ferret (2022). Building Static Embeddings  from Contextual Ones: Is It Useful for Building Distributional Thesauri?  13th Language Resources and Evaluation Conference (LREC 2022)
  • H. El Boukkouri, O. Ferret, T. Lavergne, and P. Zweigenbaum (2022) Re-train or Train from Scratch? Comparing Pre-training Strategies of BERT in the Medical Domain.13th Language Resources and Evaluation Conference (LREC 2022).
  • N. Hiebel, O. Ferret, K. Fort, and A. Névéol (2022) CLISTER :  A Corpus for Semantic Textual Similarity in French Clinical Narratives.13th Language Resources and Evaluation Conference (LREC 2022).
  • J. Tourille, B. Sow and A. Popescu (2022) Automatic Detection of Bot-generated Tweets, ICMR workshop « Multimedia Against Disinformation » (MAD)
  • Aboubacar Tuo, Romaric Besançon, Olivier Ferret and Julien Tourille (2022) Better Exploiting BERT for Few-shot Event Detection. 27th International Conference on Applications of Natural Language to Information Systems (NLDB 2022), Valencia, Spain
  • Evan Dufraisse, Célina Treuillier, Armelle Brun, Julien Tourille, Sylvain Castagnos, Adrian Popescu (2022) Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. PoliticalNLP 2022 : First Workshop on Natural Language Processing for Political sciences Co-located with LREC 2022
  • Guilhem Piat, Nasredine Semmar, Alexandre Allauzen, Julien Tourille; Hassane Essafi (2022) Enriching Contextualized Representations with Biomedical Ontologies: Extending KnowBert to UMLS, Computing Conference 2022
  • Eva Feillet, Adrian Popescu, Céline Hudelot, Marina Reyboz (2022) Apprentissage incrémental sous contrainte mémoire : stratégie de mise à l’échelle de réseaux de neurones, RFIAP 2022
  • Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne (2022)  Contrôle de la cardinalité par navigation dans l’espace latent des GANs. RFIAP
  • Olivier Ferret (2022) Décontextualiser des plongements contextuels pour construire des thésaurus distributionnels. 29ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2022), Avignon, France
  • Tiphaine Le Clercq de Lannoy, Romaric Besançon, Olivier Ferret, Julien Tourille, Frédérique Brin-Henry et Bianca Vieru (2022) Stratégies d’adaptation pour la reconnaissance d’entités médicales en français.TALN 202), Avignon, France.
  • Nicolas Hiebel, Olivier Ferret, Karën Fort et Aurélie Névéol (2022) CLISTER : un corpus pour la similarité sémantique textuelle dans des cas cliniques en français.TALN 2022, Avignon, France
  • Paul Lerner, Olivier Ferret, Camille Guinaudeau, Hervé Le Borgne,  Romaric Besançon, Jose G Moreno et Jesús Lovón Melgarejo (2022) Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances.TALN 2022, Avignon, France

2021

  • V. Lomonaco, …, E. Belouadah, …, A. Popescu, et al (2021) Avalanche: an End-to-End Library for Continual Learning, 2nd Continual Learning in Computer Vision Workshop, CVPR workshop, 2021. Project page
  • D. Kodelja, R. Besançon, O. Ferret (2021) Dynamic Cross-Sentential Context Representation for Event Detection 43st European Conference on Information Retrieval (ECIR 2021), Advances in Information Retrieval, Online 
  • J. Lopez Espejel, G. de Chalendar, T. Charnois, J. projeGarcia Flores, I. Vladimir Meza Ruiz (2021) Saucissonnage of Long Sequences into a Multi-encoder for Neural Text Summarization with Transformers, Extraction et Gestion des Connaissances (EGC), Montpellier, France, 25-29 jan.
  • Y. Le Cacheux, H. Le Borgne, M. Crucianu (2021) Zero-shot Learning with Deep Neural Networks for Object Recognition. In: Jenny Benois-Pineau, Akka Zemmari (Eds.) Multi-faceted Deep Learning: Models and Data. Springer, 2021
  • A. Plumerault, H. Le Borgne, C. Hudelot (2021) AVAE: Adversarial Variational Auto Encoder, 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 january 2021
  • U Aggarwal, A Popescu, C Hudelot (2021) Minority Class Oriented Active Learning for Imbalanced Datasets, 25th International Conference on Pattern Recognition (ICPR), 9920-9927, Milan, Italy, 10-15 january 2021
  • E. Belouadah, A. Popescu, I. Kanellos (2021) A comprehensive study of class incremental learning algorithms for visual tasks, Neural Networks, Volume 135, March 2021, Pages 38-54
  • U. Aggarwal, A. Popescu, E. Belouadah, C. Hudelot (2021) A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. Multimedia Tools and Applications
  • B. Ionescu et al. (2021) The 2021 ImageCLEF Benchmark Multimedia Retrieval in Medical, Nature,Internet and Social Media Applications, European Conf. in Information Retrieval (ECIR)
  • A. Bojko, R. Dupont, M. Tamaazousti, H. Le Borgne (2021) Learning to Segment Dynamic Objects using SLAM Outliers. International Conference on Pattern Recognition (ICPR’20), Milan, Italy, 10-15 january 2021

2020

  • F. Plesse, A. Ginsca, B. Delezoide and F. Prêteux (2020) Focusing Visual Relation Detection on Relevant Relations with Prior Potentials, Winter Conference on Applications of Computer Vision (IEEE WACV)
  • Y. Le Cacheux, H. Le Borgne and M. Crucianu (2020) Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning, Task-CV Workshop@ECCV
  • F. Plesse, A. Ginsca, B. Delezoide and F. Prêteux (2020) Modelling Synonymy with Prototypes for Visual Relation Detection, Multimedia Tools and Applications
  • U. Aggarwal, A. Popescu, C. Hudelot (2020) Active Learning for Imbalanced Datasets, Winter Conference on Applications of Computer Vision (IEEE WACV)
  • Y. Le Cacheux, A. Popescu, H. Le Borgne (2020) Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning, Asian Conference on Computer Vision (ACCV), Kyoto
  • E. Belouadah, A. Popescu (2020) ScaIL: Classifier Weights Scaling for Class Incremental Learning, Winter Conference on Applications of Computer Vision (IEEE WACV)
  • A Plumerault, H. Le Borgne, C Hudelot (2020) Controlling generative models with continuous factors of variations, International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia
  • O. Adjali, R. Besançon, O. Ferret, H. Le Borgne and B. Grau (2020) Multimodal Entity Linking for Tweets, 42nd European Conference on Information Retrieval (ECIR): Advances in Information Retrieval [code page]
  • O. Adjali, R. Besançon, O. Ferret, H. Le Borgne and B. Grau, (2020) Building a Multimodal Entity Linking Dataset From Tweets, 12th International Conference on Language Resources and Evaluation (LREC) [code page]
  • H. El Boukkouri, O. Ferret, T. Lavergne, H. Noji, P. Zweigenbaum, J. Tsujii (2020 – to appear) CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters, 28th International Conference on Computational Linguistics (COLING)
  • L. Tanguy, P. Brunet and O. Ferret (2020) Extrinsic Evaluation of French Dependency Parsers on a Specialized Corpus: Comparison of Distributional Thesauri, 12th International Conference on Language Resources and Evaluation (LREC)
  • P. Brunet, O. Ferret and L. Tanguy (2020) Which Dependency Parser to Use for Distributional Semantics in a Specialized Domain?, 6th International Workshop on Computational Terminology (COMPUTERM)
  • J. Tourille, O. Ferret, A. Névéol and X. Tannier (2020) Modèle neuronal pour la résolution de la coréférence dans les dossiers médicaux électroniques, 27ème Conférence sur le Traitement Automatique des Langues Naturelles (JEP-TALN-RECITAL)
  • D. Kodelja, R. Besançon et O. Ferret (2020) Représentation dynamique et spécifique du contexte textuel pour l’extraction d’événements, 27ème Conférence sur le Traitement Automatique des Langues Naturelles (JEP-TALN-RECITAL)
  • F. Laleye, G. de Chalendar, A. Blanié, A. Brouquet and D. Behnamou (2020) A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System, 12th International Conference on Language Resources and Evaluation (LREC)
  • F. Laleye, A. Blanié, A. Brouquet, D. Behnamou and G. de Chalendar (2020) Semantic similarity to improve question understanding in a virtual patient, 35th ACM/SIGAPP Symposium on Applied Computing (SAC)
  • S. Meftah, N. Semmar, M.-A. Tahiri, Y. Tamaazousti, H. Essafi and F. Sadat (2020) Multi-Task Supervised Pretraining for Neural Domain Adaptation, Eighth International Workshop on Natural Language Processing for Social Media (SocialNLP@ACL 2020)
  • S. Meftah, N. Semmar, Y. Tamaazousti, H. Essafi and F. Sadat (2020) Apprentissage mixte de neurones pré-entraînés et aléatoires dans un modèle neuronal pour l’adaptation au domaine, Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP)
  • E. Belouadah, A. Popescu, U. Aggarwal and L. Saci (2020) Active Class Incremental Learning for Imbalanced Datasets. Workshop on Imbalance Problems in Computer Vision (IPCV). European Conference on Computer Vision (ECCV)
  • E. Belouadah, A. Popescu and I. Kanellos (2020) Initial Classifier Weights Replay for Memoryless Class Incremental Learning, British Machine Vision Conference (BMVC)
  • Q. Bouniot, I. Redko, R. Audigier and A. Loesch and A.Habrard, Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms, NeurIPS Workshops, 2020.
  • Q. Bouniot, R. Audigier and A. Loesch, Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
  • A. Benzine, F. Chabot, B. Luvison, Q. C. Pham, C. Achard, PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • A. Benzine, B. Luvison, Q. C. Pham, C. Achard, Single-shot 3D multi-person pose estimation in complex images, Pattern Recognition (PR), 2020, 107534, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2020.107534
  • S. Chafik, A. Orcesi, R. Audigier, B. Luvison, Classifying All Interacting Pairs in a Single Shot, IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
  • G. Lorre, J. Rabarisoa, A. Orcesi, S. Ainouz, S. Canu, Temporal Contrastive Pretraining for Video Action Recognition, IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
  • V. Lahoche, D.O. Samary, ‘Pedagogical comments about nonperturbative Ward-constrained melonic renormalization group flow’, Physical Review D, 101, Jan. 2020, pp. 024001/1-024001/17.
  • T.O. Otomalo, F. Mayran de Chamisso, B. Palpant, ‘Complex-conjugate Pole-residue Pair-Based FDTD Method for Assessing Ultrafast Transient Plasmonic Near Field’, Plasmonics, 15(2), April 2020, pp. 495-505.
  • V. Lahoche, D.O. Samary, ‘Ward-constrained melonic renormalization group flow’, Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 802, March 2020, 7 pages.
  • V. Lahoche, D.O. Samary, A.D. Pereira, ‘Renormalization group flow of coupled tensorial group field theories: Towards the Ising model on random lattices’, Physical Review D, 101, March 2020, pp. 064014/1-064014/37.
  • M. E. A. Seddik, C. Louart, M. Tamaazousti and R. Couillet, Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures, ICML 2020
  • M. E. A. Seddik, R. Couillet and M. Tamaazousti, A Random Matrix Analysis of Learning with α-Dropout, ICML 2020 Workshop Artemiss
  • V. Lahoche, D. O. Samary and M. Tamaazousti, Generalized Scale Behavior and Renormalization Group for Principal Component Analysis, arXiv preprint’20 – arXiv:2002.10574
  • M. E. A. Seddik, M. Tamaazousti and L. John,  Generative Collaborative Networks for Single Image Super-Resolution, Neurocomputing Volume 398, 20 July 2020, Pages 293-303
  • H. Erbin, V. Lahoche and M. Tamaazousti, Constructive expansion for quartic vector fields theories. I. Low dimensions, arXiv preprint’19 – arXiv:1904.05933
  • M. E. A. Seddik, H. Essafi, A. Benzine and M. Tamaazousti , Lightweight Neural Networks from PCA & LDA Based Distilled Dense Neural Networks, International Conference on Image Processing, 2020

2019

  • E. Belouadah, A. Popescu, (2019) IL2M: Class Incremental Learning with Dual Memory, In Proceedings of the IEEE International Conference on Computer Vision, ICCV, Seoul, Korea, Oct. 27 – Nov. 2
  • Y. Le Cacheux, H. Le Borgne and M. Crucianu (2019) Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. In Proceedings of the IEEE International Conference on Computer Vision, ICCV, Seoul, Korea, Oct. 27 – Nov. 2 [supplementary material]
  • Y. Tamaazousti, H. Le Borgne, C. Hudelot, M.E.A Seddik, M. Tamaazousti (2019) Learning More Universal Representations for Transfer-Learning, IEEE T. Pattern Analysis and Machine Intelligence (PAMI) (pre-print)
  • Y. Le Cacheux, H. Le Borgne, M. Crucianu (2019) From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process, 25th International Conference on MultiMedia Modeling (MMM 2019), Thessaloniki, Greece, January 8-11
  • D. Kodelja, R. Besançon and O. Ferret (2019) Exploiting a More Global Context for Event Detection Through Bootstrapping. Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff and Djoerd Hiemstra (Eds.), 41st European Conference on Information Retrieval (ECIR 2019): Advances in Information Retrieval, short article session, p. 763–770, Cologne, Germany
  • H. El Boukkouri, O. Ferret, T. Lavergne and P. Zweigenbaum (2019) Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition, 57th Conference of the Association for Computational Linguistics (ACL), student research workshop
  • L. Tanguy, P. Brunet et O. Ferret (2019) Comparaison qualitative et extrinsèque d’analyseurs syntaxiques du français : confrontation de modèles distributionnels sur un corpus spécialisé, 26ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN)
  • M. Ba, R. Bossy, P. Brunet, L. Deléger, H. El Boukkouri, O. Ferret, A. Ferré, T. Lavergne, C. Nédellec and P. Zweigenbaum (2019) Combining String-based and Embeddings-based Methods for Medical Concept Normalization: LIMSI-CEA-INRA@n2c2 2019, 2019 n2c2/OHNLP Shared-Task and Workshop
  • D. Kodelja, R. Besançon et O. Ferret (2019) Modèles neuronaux pour l’extraction supervisée d’événements : état de l’art. Traitement Automatique des Langues (TAL), numéro varia, 60(1)
  • C. Rudnik, T. Ehrhart, O. Ferret, D. Teyssou, R. Troncy and X. Tannier (2019) Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata, Wiki Workshop 2019 of the Web Conference 2019
  • S. Meftah, N. Semmar, Y. Tamaazousti, H. Essafi and F. Sadat (2019) Joint Learning of Pretrained and Random Units for Domain Adaptation, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)
  • N. Semmar, C. Servan, M. Laib, D. Bouamor and M. Marchand (2019) Extracting and Aligning Multi-Word Expressions from Parallel Corpora, Representation and parsing of multiword expressions: Current trends, Language Science Press
  • S. Meftah, N. Semmar, Y. Tamaazousti, H. Essafi and F. Sadat (2019) Exploration de l’apprentissage par transfert pour l’analyse de textes des réseaux sociaux, 26ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN)
  • O. Zennaki, N. Semmar and L. Besacier (2019) A Neural Approach for Inducing Multilingual Resources and Natural Language Processing Tools for Low-Resource Languages, Journal of Natural Language Engineering, Cambridge University Press
  • A. Loesch, J. Rabarisoa, R. Audigier, End-To-End Person Search Sequentially Trained On Aggregated Dataset, proc. IEEE International Conference on Image Processing (ICIP), pp 4574-4578, 22-25 Sep. 2019, Taipei, Taiwan.
  • A. Benzine, B. Luvison, Q. C. Pham, C. Achard, Deep, Robust and Single Shot 3D Multi-Person Human Pose Estimation from Monocular Images, proc. IEEE International Conference on Image Processing (ICIP), pp 584-588, 22-25 Sep. 2019, Taipei, Taiwan.
  • F. Chabot, Q. C. Pham, M. Chaouch, LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection, https://arxiv.org/pdf/1911.01149.pdf, 2019
  • G. Lorre, J. Rabarisoa, A. Orcesi, S. Ainouz, S. Canu, Contrastive Predictive Coding for Video Representation Learning, Workshop Self-Supervised Learning, ICML, 2019.
  • R. Guillemard, F. Hélénon, B. Petit, V. Gay-Bellile and M. Carrier (2019) Stationary Detector for Monocular Visual-Inertial SLAM, International Conference on Indoor Positioning and Indoor Navigation (IPIN), 30 Sept. – 3 Oct. 2019, Pisa, Italy
  • V. Lahoche, D.O. Samary, Progress in solving the nonperturbative renormalization group for tensorial group field theory, Universe MDPI, 5(3), March 2019, 31 pages. ,
  • V. Lahoche, D.O. Samary, Ward-constrained melonic renormalization group flow for the rank-four phi(6) tensorial group field theory, Physical Review D, 100, Oct. 2019, pp. 086009/1- 086009/23. •Ward identity violation for melonic T4-truncation, V. Lahoche, D.O. Samary, Nuclear Physics B, 940, March 2019, pp. 190-213
  • F. Mayran de Chamisso, D. CANCILA, L. Soulier, R. Passerone, M. Aupetit, Lifelong Exploratory Navigation: an Architecture for Safer Mobile Robots, IEEE Design & Test, November 2019, 7 pages.
  • J. Lin, M. E. A. Seddik, M. Tamaazousti, Y. Tamaazousti and A. Bartoli, Deep Multi-class Adversarial Specularity Removal, Scandinavian Conference on Image Analysis, 2019
  • S. Hadj Said, M. Tamaazousti and A. Bartoli, Can we Invert a Local Reflectance Model From a Single Specular Highlight with Known Scene Geometry and Camera Pose?, International Conference of the European Association for Computer Graphics, 2019
  • M. E. A. Seddik, M. Tamaazousti and R. Couillet, Kernel Random Matrices of Large Concentrated Data: The Example of GAN generated Images, International Conference on Acoustics, Speech, and Signal Processing, Brighton, UK, 2019
  • M. E. A. Seddik, M. Tamaazousti and R. Couillet, A Kernel Random Matrix-Based Approach for Sparse PCA, International Conference on Learning Representations, New Orleans, USA, 2019

2018

  • F. Plesse, A. Ginsca, B. Delezoide and F. Prêteux (2018) Learning Prototypes for Visual Relationship Detection, International Conference on Content-Based Multimedia Indexing (CBMI)
  • E. Belouadah, A. Popescu, DeeSIL: Deep-Shallow Incremental Learning, 5th TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision and 2​nd VisDA Challenge (Workshop of the European Conference on computer Vision), 14 sept. 2018, Munich, Germany, 2018
  • J. Girard, Y. Tamaazousti, H. Le Borgne and C. Hudelot, Learning Finer-class Networks for Universal Representations, British Machine Vision Conference (BMVC), 3-6 sept 2018, Newcastle, UK, 2018
  • F Plesse, A Ginsca, B Delezoide, F Prêteux Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation International conference on Multimedia and Expo (ICME), San Diego (CA, USA), 2018
  • E. Gadeski, H.Odabai Fard, H. Le Borgne, GPU deformable part model for object recognition, Journal of Real-Time Image Processing, February 2018, Volume 14, Issue 2, pp 279–291, 2018 (online 4 septembre 2014)
  • O. Fraisier, G. Cabanac, Y. Pitard and R. Besançon, M. Boughanem Stance Classification Through Proximity-based Community Detection, Proceedings of the 29th on Hypertext and Social Media (HT’18), N. 9, pp 220–228, 2018
  • S. Meftah, N. Semmar, F. Sadat and S. Raaijmakers (2018) Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets. Fifth Workshop on NLP for Similar Languages, Varieties and Dialects co-located with COLING 2018, New Mexico, USA, 2018.
  • O. Ferret (2018) Using pseudo-senses for improving the extraction of synonyms from word embeddings. 56th Annual Meeting of the Association for Computational Linguistics (ACL)
  • J. Tourille, M. Doutreligne, O. Ferret, A. Névéol, N. Paris and X. Tannier (2018) Evaluation of a Sequence Tagging Tool for Biomedical Texts, Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI 2018)
  • O. Ferret (2018) Des pseudo-sens pour améliorer l’extraction de synonymes à partir de plongements lexicaux, 25ème Conférence sur le Traitement Automatique des Langues Naturelles (CORIA-TALN-RJC)
  • N. Wagner, R. Besançon et O. Ferret (2018) Utilisation de Représentations Distribuées de Relations pour la Désambiguïsation d’Entités Nommées, 25ème Conférence sur le Traitement Automatique des Langues Naturelles (CORIA-TALN-RJC 2018)
  • D. Kodelja, R. Besançon et O. Ferret (2018) Intégration de contexte global par amorçage pour la détection d’événements, 25ème Conférence sur le Traitement Automatique des Langues Naturelles (CORIA-TALN-RJC 2018)
  • G. Lorre, J. Rabarisoa, A. Orcesi, S. Ainouz, S. Canu, Reconnaissance d’actions et architectures à deux voies, Conférence sur l’Apprentissage automatique (CAp), 2018

  • A. Morgand, M. Tamaazousti, A. Bartoli, A geometric model for specularity prediction on planar surfaces with multiple light sources, IEEE Transactions on Visualization and Computer Graphics, 24(5), May 2018, pp. 1691-1704
  • A. Loesch, S. Bourgeois, V. Gay-Bellile, O. Gomez, M. Dhome, Localization of 3D objects using model-constrained SLAM, Machine Vision and Applications, online June 2018, pp. 1-28.
  • F. Bousefsaf, M. Tamaazousti, S.H. Said, R. Michel, Image completion using multispectral imaging,IET Image Processing, 12(7), June 2018, pp. 1164– 1174.
  • S.H. Said, M. Tamaazousti, A. Bartoli, Image-Based Models for Specularity Propagation in Diminished Reality, IEEE Trans. on Visualization and Computer Graphics, 24(7), July 2018, pp. 2140-2152.
  • V. Lahoche, D.O. Samary, Nonperturbative renormalization group beyond the melonic sector: The effective vertex expansion method for group fields theories, Physical Review D, 98, Dec. 2018, pp. 126010/1-126010/51.

2017

  • A. Popescu, A. Gînsca, H. Le Borgne, Scale-Free Content Based Image Retrieval (or Nearly So), The IEEE International Conference on Computer Vision Workshop (ICCVW) on Web-Scale Vision and Social Media, 2017, pp. 280-288
  • Y. Tamaazousti, H. Le Borgne, A. Popescu, E. Gadeski, A. Gînsca, and C. Hudelot, Vision-language integration using constrained local semantic features, Computer Vision and Image Understanding, vol. 163, pp 41-57, october 2017
  • I. Chami, Y. Tamaazousti, H. Le Borgne, AMECON: Abstract Meta-Concept Features for Text-Illustration, Proc. ACM International Conference on Multimedia Retrieval (ICMR 2017), June 6-9, Bucharest, Romania, 2017
  • Y. Tamaazousti, H. Le Borgne and C. Hudelot, MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features, Computer Vision and Pattern Recognition (CVPR 2017), Hawaii, USA, July 2017
  • P. Vo, A. Ginsca, H. Le Borgne and A. Popescu, Harnessing Noisy Web Images for Deep Representation, Computer Vision and Image Understanding, Volume 164, November 2017, Pages 68-81
  • H. Daher, R. Besançon, O. Ferret, H. Le Borgne, A-L. Daquo, and Y. Tamaazousti, Supervised Learning of Entity Disambiguation Models by Negative Sample Selection, International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Budapest, Hungary, April 2017
  • H. Daher, R. Besançon, O. Ferret, H. Le Borgne, A-L. Daquo, and Y. Tamaazousti, Désambiguïsation d’entités nommées par apprentissage de modèles d’entités à large échelle, COnférence en Recherche d’Information et Applications, Marseille (CORIA 2017), France, March 2017
  • E. Gadeski, H. Le Borgne, A. Popescu, Fast and robust duplicate image detection on the web, Multimedia Tools and Applications, 76(9), may 2017
  • B. Mansencal, J. Benois-Pineau, H. Bredin, A. Benoit, N. Voiron, P. Lambert, H. Le Borgne, A. Popescu, A. L. Ginsca, G. Quénot, IRIM at TRECVID 2017: Instance Search, Proc. TRECVID Workshop, 2017, Gaithersburg, MD, United States [slides]
  • D. Kodelja, R. Besançon, O. Ferret, H. Le Borgne and E. Boros (2017) CEA LIST Participation to the TAC 2017 Event Nugget Track. 10th Text Analysis Conference (TAC 2017), Gaithersburg, Maryland, USA.
  • S. Ribeiro, O. Ferret and X. Tannier (2017) Unsupervised Event Clustering and Aggregation from Newswire and Web Articles, 2017 EMNLP Workshop: Natural Language Processing meets Journalism
  • J. Tourille, O. Ferret, X. Tannier and A. Névéol (2017) Temporal information extraction from clinical text, 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL)
  • J. Tourille, O. Ferret, X. Tannier and A. Névéol (2017) Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers, 55th Annual Meeting of the Association for Computational Linguistics (ACL)
  • O. Ferret (2017) Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion. Eighth International Joint Conference on Natural Language Processing (IJCNLP)
  • M. Mnasri, G. de Chalendar and O. Ferret (2017) Taking into account Inter-sentence Similarity for Update Summarization, Eighth International Joint Conference on Natural Language Processing (IJCNLP)
  • O. Ferret (2017) Construire des représentations denses à partir de thésaurus distributionnels, 24ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN)
  • D. Kodelja, R. Besançon et O. Ferret (2017) Représentations et modèles en extraction d’événements supervisée. Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA)
  • J. Tourille, O. Ferret, X. Tannier and A. Névéol (2017) LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives. 11th International Workshop on Semantic Evaluation (SemEval-2017)
  • S. Chan Lang, Q.C. Pham, C. Achard, Closed and Open-World Person Re-Identification and Verification, in International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017.
  • F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière, T. Chateau, Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017.
  • F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière, T. Chateau, Deep Edge-color invariant features for 2D/3D car fine-grained classification, in IEEE Intelligent Vehicle Symposium (IV) , 2017.
  • G. Vaquette, A. Orcesi, L. Lucat, C. Achard, The DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition, in IEEE Automatic Face and Gesture Recognition (FG), 2017.
  • C. Dupont, L. Tobías B. Luvison, Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis, in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, pp. 2184-2191, doi: 10.1109/CVPRW.2017.271.

  • O. Gomez, A. Salehi, V. Gay-Bellile, M. Carrier (2017) Accurate Indoor Localization through Constrained Visual SLAM, International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017
  • A Salehi, V Gay-Bellile, S Bourgeois, N Allezard, F Chausse, (2017) Large-scale, drift-free SLAM using highly robustified building model constraints, IEEE/RSJ International Conference on Intelligent Robots and Systems
  • F. Bousefsaf, M. Tamaazousti, S.H. Said, R. Michel, Complétion d’image exploitant des données multispectrales, Revue Française de Photogrammétrie et de Télédétection, 215, Aug. 2017, pp. 65-79
  • A. Morgand, M. Tamaazousti, A. Bartoli, A Multiple-View Geometric Model of Specularities on Non-Planar Shapes with Application to Dynamic Retexturing, IEEE transactions on visualization and computer graphics, 23(11), Nov. 2017, pp. 2485-2493
  • J. Braux-Zin, R. Dupont, A. Bartoli, M. Tamaazousti, EasyFlow: increasing the convergence basin of variational image matching with a feature-based cost, IET Computer Vision, 11(2), March 2017, pp. 122-134.
  • J. Lin, M. Tamaazousti, S. Hadj Said and A. Morgand, Color Consistency of Specular Highlights in Consumer Cameras, ACM Symposium on Virtual Reality Software and Technology, 2017
  • A. Morgand, M. Tamaazousti and A. Bartoli, A Multiple-View Geometric Model of Specularities on Non-Uniformly Curved Surfaces, ACM Symposium on Virtual Reality Software and Technology, 2017

2016

  • H. Fradi, B. Luvison, Q.C. Pham, Crowd behavior analysis using local mid-level visual descriptors, in IEEE Transactions Transactions on Circuits and Systems for Video Technology (TCSVT), special issue on “Group and Crowd Behavior Analysis for Intelligent Multi-camera Video Surveillance”, 2016.
  • L. Fagot-Bouquet, R. Audigier, R. Dhome, F. Lerasle, Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking, in European Conference on Computer Vision (ECCV), 2016.
  • G. Vaquette, C. Achard and L. Lucat, Robust information fusion in the DOHT paradigm for real time action detection, to appear in Journal of Real-Time Image Processing, 2016.
  • S. Chan Lang, Q.C. Pham, C. Achard, Bidirectional sparse representations for multi-shot person re-identification, in IEEE Advanced Video and Signal-based Surveillance (AVSS), 2016.
  • F. Chabot, M. Chaouch, J. Rabarisoa, T. Chateau and C. Teulière, Accurate 3D car pose estimation, in IEEE International Conference on Image Processing (ICIP), 2016.
  • F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière et T. Chateau. Descripteurs profonds communs aux couleurs et aux contours pour la reconnaissance fine 2D/3D de véhicules, in Reconnaissance des Formes et l’Intelligence Artificielle (RFIA), 2016.
  • G. Vaquette, C. Achard, L. Lucat, Information fusion for action recognition with deeply optimised Hough transform paradigm, in International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP (4: VISAPP), 2016.
  • P.C. Ribeiro, R. Audigier and Q.C. Pham, RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance, in Computer Vision and Image Understanding, Pages 1 – 23, 2016,
  • K Melbouci, S Naudet, V Gay-Bellile, O Ait-Aider, M Dhome (2016) Model based RGBD SLAM, IEEE International Conference on Image Processing (ICIP), 2618-2622
  • A. Loesch, S. Bourgeois, V. Gay-Bellile, M. Dhome, A hybrid structure/trajectory constraint for visual slam In IEEE International Conference on 3D Vision (3DV), 2016.
  • D Larnaout, V Gay-Bellile, S Bourgeois, M Dhome, (2016) Fast and automatic city-scale environment modelling using hard and/or weak constrained bundle adjustments, Machine Vision and Applications 27 (6), 943-962
  • M. Tamaazousti, S. Naudet-Collette, V. Gay-Bellile, S. Bourgeois, B. Besbes, M. Dhome, The constrained SLAM framework for non-instrumented augmented reality, Multimedia Tools and Applications, 75(16), Aug. 2016, pp. 9511-9547.
  • A. Morgand, M. Tamaazousti and A. Bartoli, An Empirical Model for Specularity Prediction with Application to Dynamic Retexturing, Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, Merida, Mexico, September 2016

2015

  • A. Gînsca, A. Popescu, H. Le Borgne, N. Ballas, D. P. Vo, I. Kanellos, Large-scale Image Mining with Flickr Groups, 21st International Conference on Multimedia Modelling (MMM2015), 5-7 january 2015, Sydney, Australia, 2015.
    This paper receives the best paper award at MMM 2015
  • A Popescu, M Hildebrandt, J Breuer, L Claeys, S Papadopoulos, G Petkos, T Michalareas, D Lund, R Heyman, S van der Graaf, E Gadeski, H Le Borgne, T Kastrinogiannis, A Kousaridas, A Padyab, Increasing Transparency and Privacy for Online Social Network Users–USEMP Value Model, Scoring Framework and Legal, Privacy Technologies and Policy, Lecture Notes in Computer Science, vol 9884, pp 38-59, 2015
  • A. Popescu, E. Spyromitros-Xioufis, S. Papadopoulos, H. Le Borgne, I. Kompatsiaris. Towards an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections, MMCommons 2015 workshop Brisbane, Australia
  • T. Q. N. Tran, H. Le Borgne, M. Crucianu, Combining Generic and Specific Information for Cross-modal Retrieval, In Proc. ACM International Conference on Multimedia Retrieval (ICMR 2015), Shanghai, China, June 23-26, 2015.
  • E. Gadeski, H. Le Borgne and A. Popescu. Duplicate image detection in a stream of web visual data, In proc. 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), June 10.-12. 2015, Prague, Czech Republic
  • P. D. Vo, A. Ginsca, H. Le Borgne and A. Popescu, Effective Training of Convolutional Networks using Noisy Web Images, In proc. 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), June 10.-12. 2015, Prague, Czech Republic
  • A. Popescu, E. Gadeski, H. Le Borgne, Scalable domain adaptation of convolutional neural networks, preprint arXiv:1512.02013, 2015
  • P. D. Vo, A. Ginsca, H. Le Borgne, A. Popescu, On deep representation learning from noisy web images, preprint arXiv:1512.04785, 2015
  • E. Gadeski, H. Le Borgne, A. Popescu, CEA LIST’s participation to the Scalable Concept Image Annotation task of ImageCLEF, Conference and Labs of the Evaluation Forum (CLEF 2015), Toulouse, France, 8-11 September 2015
  • H. Le Borgne, P. Gosselin, M. Redi, D. Picard, B. Mérialdo, B. Mansencal, J. Benois-Pineau, S. Ayache, A. Hamadi, B. Safadi, N. Derbas, M. Budnik, G. Quénot, B. Gao, C. Zhu, Y. Tang, E. Dellandrea, C-E. Bichot, L. Chen, A. Benoit, P. Lambert,T. Strat, IRIM at TRECVID 2015: Semantic Indexing, Proc. TRECVID Workshop, 2015, Gaithersburg, MD, United States
  • R. Besançon, H. Daher, H. Le Borgne, O. Ferret, A.-L. Daquo and A. Popescu (2015) CEA LIST Participation at TAC EDL English Diagnostic Task. 8th Text Analysis Conference (TAC 2015), Gaithersburg, Maryland, USA.
  • O. Ferret (2015) Réordonnancer des thésaurus distributionnels en combinant différents critères, Traitement Automatique des Langues (TAL), numéro spécial Sémantique Distributionnelle, 56(2)
  • K.-H. Nguyen, X. Tannier, O. Ferret and R. Besançon (2015) Generative Event Schema Induction with Entity Disambiguation, 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2015)
  • O. Ferret (2015) Early and Late Combinations of Criteria for Reranking Distributional Thesauri. 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2015)
  • K.-H. Nguyen, X. Tannier, O. Ferret and R. Besançon (2015) Désambiguïsation d’entités pour l’induction non supervisée de schémas événementiels, 22ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015)
  • O. Ferret (2015) Déclasser les voisins non sémantiques pour améliorer les thésaurus distributionnels. 22ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2015)
  • Olivier Ferret (2015) Typing relations in distributional thesauri. Language Production, Cognition, and the Lexicon, volume 48 of Text, Speech and Language Technology
  • L. Fagot-Bouquet, R. Audigier, Y. Dhome and F. Lerasle, Online multi-person tracking based on global sparse collaborative representations, In ICIP , 2015.
  • L. Fagot-Bouquet, R. Audigier, Y. Dhome and F. Lerasle, Suivi multi-personnes à base de représentations parcimonieuses collaboratives globales, in ORASIS , 2015.
  • F. Chabot ,M. Chaouch, J. Rabarisoa, T. Chateau and C. Teulière, Détection de pose de véhicule pour la reconnaissance de marque et modèle, in ORASIS , 2015.
  • P. Paillet, R. Audigier, F. Lerasle and Q.C. Pham, Collaborative Tracking and Distributed Control for an IP-PTZ Camera Network, in International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2015.
  • L. Fagot-Bouquet, R. Audigier, Y. Dhome and F. Lerasle, Collaboration and spatialization for an efficient multi-person tracking via sparse representations , In AVSS , 2015.
  • E. Elghoul, A. Verroust-Blondet and M. Chaouch, A Segmentation Transfer Approach for Rigid Models, in Journal of Information Science and Engineering, Volume 31 (3), pp.993-1009, 2015.
  •  J. Braux-Zin, R. Dupont, A. Bartoli, Generic framework for dense registration combining dense cost and features based cost, Traitement du Signal, 32(2-3), 2015, pp. 195-213.
  • D. Larnaout, V. Gay-Bellile, S. Bourgeois, M. Dhome, Accurate reconstruction of georeferenced landmark databases for vehicle localization in urban area, Traitement du Signal, 32(2-3), 2015, pp. 147-167.
  • A. Loesch, S. Bourgeois, V. Gay-Bellile, and M. Dhome, Generic edgelet-based tracking of 3D objects in real-time. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
  • A. Belhedi, A. Bartoli, S. Bourgeois, V. Gay-Bellile, K. Hamrouni, P. Sayd, Noise modelling in time-of-flight sensors with application to depth noise removal and uncertainty estimation in three-dimensional measurement, IET Computer Vision, 9(6), Déc. 2015, pp. 967-977
  • V. Gay-Bellile, S. Bourgeois, D. Larnaout and M. Tamaazousti, Applications of Augmented Reality for the Automobile Industry, Fundamentals of Wearable Computers and Augmented Reality, Second Edition, 433-456, 4-August-2015