现有科研组 : ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL
LIP6
- W. Aissa, L. Soulier, L. Denoyer : “A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems”, Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI, Bruxelles, Belgium, pp. 33-39 [Aissa 2018]
- M. Blot, Th. Robert, N. Thome, M. Cord : “SHADE: Information-Based Regularization for Deep Learning”, ICIP 2018 - 25th IEEE International Conference on Image Processing, Athènes, Greece, pp. 813-817, (IEEE) [Blot 2018]
- D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Temporal Deep Learning for Drone Micro-Doppler Classification”, IRS 2018 - 19th International Radar Symposium, Bonn, Germany, (IEEE) [Brooks 2018]
- M. Carvalho, R. Cadene, D. Picard, L. Soulier, M. Cord : “Images & Recipes: Retrieval in the cooking context”, International Conference on Data Engineering (ICDE), DECOR workshop, Paris, France [Carvalho 2018a]
- M. Carvalho, R. Cadene, D. Picard, L. Soulier, N. Thome, M. Cord : “Cross-Modal Retrieval in the Cooking Context”, SIGIR proceedings, Ann Arbor, Michigan, United States, pp. 35-44, (ACM Press) [Carvalho 2018b]
- M. Chen, L. Denoyer, Th. Artières : “Multi-View Data Generation Without View Supervision”, 6th International Conference on Learning Representations (ICLR 2018), Vancouver, Canada [Chen 2018b]
- A. Conneau, G. Kruszewski, G. Lample, L. Barrault, M. Baroni : “What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties”, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, vol. 1, Melbourne, Australia, pp. 2126–2136, (Association for Computational Linguistics) [Conneau 2018]
- E. Delasalles, S. Lamprier, L. Denoyer : “Apprentissage de l'évolution langagière dans des communautés d'auteurs”, 15ème COnférence en Recherche d'Informations et Applications - CORIA 2018, Rennes, France [Delasalles 2018]
- Ch. Dias , C. Gainon de Forsan de Gabriac, V. Guigue, P. Gallinari : “RNN & modèle d’attention pour l’apprentissage de profils textuels personnalisés”, CORIA 2018 - 15ème COnférence en Recherche d'Informations et Applications, Rennes, France [Dias 2018a]
- Ch. Dias , V. Guigue, P. Gallinari : “Regularize and Explicit Collaborative Filtering With Textual Attention”, ESANN 2018 - European Symposium on Artificial Neural Networks, Bruges, Belgium [Dias 2018b]
- M. Engilberge, L. Chevallier, P. Pérez, M. Cord : “Deep semantic-visual embedding with localization”, RFIAP 2018 - Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, Marne-la-Vallée, France [Engilberge 2018a]
- M. Engilberge, L. Chevallier, P. Pérez, M. Cord : “Finding beans in burgers: Deep semantic-visual embedding with localization”, CVPR 2018 - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, United States, pp. 3984-3993, (IEEE) [Engilberge 2018b]
- Th. Gerald, N. Baskiotis, L. Denoyer : “Apprentissage stochastique de représentation binaire pour la classification multi-classe dans un grand nombre de catégories”, Conférence sur l’Apprentissage automatique 2018, Rouen, France [Gerald 2018]
- P. Jacob, D. Picard, A. Histace, E. Klein : “Leveraging Implicit Spatial Information In Global Features For Image Retrieval”, Proceedings of ICIP 2018 Conference, to appear, Athens, Greece [Jacob 2018]
- M. Jiu, H. Sahbi, L. Qi : “Deep Context Networks for Image Annotation”, IEEE International Conference on Pattern Recognition (ICPR), Beijing, China, pp. 2422-2427, (IEEE) [Jiu 2018]
- D. Luvizon, H. Tabia, D. Picard : “Multimodal Deep Neural Networks for Pose Estimation and Action Recognition”, Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2018), Marne-la-Vallée, France [Luvizon 2018]
- E. Mehr, A. Lieutier, F. Bermudez, V. Guitteny, N. Thome, M. Cord : “Manifold Learning in Quotient Spaces”, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, United States, pp. 9165-9174, (IEEE) [Mehr 2018]
- T. Mordan, N. Thome, G. Henaff, M. Cord : “Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection”, Advances in Neural Information Processing Systems 32 (NeurIPS 2018), Montréal, Canada [Mordan 2018b]
- G.‑H. Nguyen, L. Tamine, L. Soulier, N. Bricon‑Souf : “A Tri-Partite Neural Document Language Model for Semantic Information Retrieval”, ESWC 2018 - 15th European Semantic Web Conference, vol. 10843, Lecture Notes in Computer Science, Heraklion, Crète, Greece, pp. 445-461, (Springer) [Nguyen 2018a]
- G.‑H. Nguyen, L. Tamine, L. Soulier, N. Bricon‑Souf : “Modèle neuronal tripartite pour la représentation de documents”, Actes CORIA 2018, Rennes, France, (ISBN: 978-2-9556434-1-9) [Nguyen 2018b]
- Q. Oliveau, H. Sahbi : “From Transductive to Inductive Semi-Supervised Attributes for Ship Category Recognition”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, pp. 4827-4830, (IEEE) [Oliveau 2018a]
- Q. Oliveau, H. Sahbi : “Semi-Supervised Deep Attribute Networks for Fine-Grained Ship Category Recognition”, IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 6871-6874, (IEEE) [Oliveau 2018b]
- T. Postadjian, A. Le Bris, C. Mallet, H. Sahbi : “Superpixel Partitioning of Very High Resolution Satellite Images for Large-Scale Classification Perspectives with Deep Convolutional Neural Networks”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, pp. 1328-1331, (IEEE) [Postadjian 2018a]
- T. Postadjian, A. Le Bris, H. Sahbi, C. Mallet : “Domain Adaptation for Large Scale Classification of Very High Resolution Satellite Images with Deep Convolutional Neural Networks”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, pp. 3623-3626, (IEEE) [Postadjian 2018c]
- Th. Robert, N. Thome, M. Cord : “HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning”, Computer Vision – ECCV 2018 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, vol. 11211, Lecture Notes in Computer Science, Munich, Germany, pp. 158-175, (Springer) [Robert 2018]
- H. Sahbi : “Structured Scene Decoding with Finite State Machines”, IEEE International Conference on Image Processing, ICIP, Athens, Greece, pp. 485-489, (IEEE) [Sahbi 2018]
- H. Titeux, B. Piwowarski, P. Gallinari : “Représentations Gaussiennes pour le Filtrage Collaboratif”, 15ème COnférence en Recherche d'Informations et Applications - CORIA 2018, Rennes, France [Titeux 2018]
- E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Factorisation de Tenseurs pour l'analyse de réseaux de mobilité”, 1ères Rencontres Francophones Transport-Mobilité (RFTM), Lyon, France [Tonnelier 2018b]
- T. Véniat, L. Denoyer : “Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks”, 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, United States, pp. 3492-3500, (IEEE) [Véniat 2018]
- Q. Wang, M. Chen, Th. Artières, L. Denoyer : “Transferring Style in Motion Capture Sequences with Adversarial Learning”, ESANN, Bruges, Belgium [Wang 2018]
- S. Yazdi, Ah. Douzal‑Chouakria, P. Gallinari, M. Moussallam : “Time warp invariant dictionary learning for time series clustering: application to music data stream analysis”, ECML/PKDD, 2018, Dublin, Ireland [Yazdi 2018]
- É. Zablocki, B. Piwowarski, L. Soulier, P. Gallinari : “Apprentissage multimodal de représentation de mots à l'aide de contexte visuel”, Conférence sur l'Apprentissage Automatique, Rouen, France [Zablocki 2018a]
- É. Zablocki, B. Piwowarski, L. Soulier, P. Gallinari : “Learning Multi-Modal Word Representation Grounded in Visual Context”, Association for the Advancement of Artificial Intelligence (AAAI), New Orleans, United States [Zablocki 2018b]