Liste des publications

2019

Revue Internationale avec comité de lecture

[DTC19] T. Durand, N. Thome, M. Cord. "Exploiting Negative Evidence for Deep Latent Structured Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41(2), pp. 337-351, 2019, (doi: 10.1109/TPAMI.2017.2788435)
[Fad19] H. Fadili. "Sentiment analysis approach based on machine learning of latent semantics from textual (unstructured) data", RIHM, vol. 19(2), pp. 30, 2019

2018

Revue Internationale avec comité de lecture

[CTH18] M. Chevalier, N. Thome, G. Henaff, M. Cord. "Classifying low-resolution images by integrating privileged information in deep CNNs", Pattern Recognition Letters, vol. 116, pp. 29-35, 2018, (doi:10.1016/j.patrec.2018.09.007)
[MTH18] T. Mordan, N. Thome, G. Henaff, M. Cord. "End-to-End Learning of Latent Deformable Part-based Representations for Object Detection", International Journal of Computer Vision (IJCV), pp. 1-21, 2018, (doi:10.1007/s11263-018-1109-z)

Conférence Internationale avec comité de lecture

[MTH18a] 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 (NIPS), December 2018, Canada,
[Zem18b] R. Zemouri. "Constructive Deep Neural Network for Breast Cancer Diagnosis", 10th IFAC Symposium on Biological and Medical Systems BMS 2018, December 2018, Vol. 51, pp.98 - 103, Brazil, (DOI: 10.1016/j.ifacol.2018.11.660)
[BRT18] M. Blot, T. Robert, N. Thome, M. Cord. "SHADE: Information-Based Regularization for Deep Learning", IEEE International Conference on Image Processing, October 2018, Athens, Grece, Best paper award,
[RTC18] T. Robert, N. Thome, M. Cord. "HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning", European Conference on Computer Vision (ECCV), September 2018, pp.158-175, Munich, Germany, (DOI: https://doi.org/10.1007/978-3-030-01234-2_10)
[CCP18] M. Carvalho, R. Cadene, D. Picard, L. Soulier , N. Thome, M. Cord. "Cross-modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings", 41st International ACM SIGIR Conference on Research and Development in Information Retrieval , July 2018, Ann Arbor, USA,
[ LS18] E. Mehr, A. Leutier, F. Sanchez, N. Thome, M. Cord. "Manifold Learning in Quotient Spaces", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018, Salt Lake City, USA,

Atelier, Poster ou Démonstration dans une Conférence Internationale

[PTC18a] O. Petit, N. Thome, A. Charnoz, A. Hostettler, L. Soler. "Handling Missing Annotations for Semantic Segmentation with Deep ConvNets.", 4th Workshop on Deep Learning in Medical Image Analysis, MICCAI, September 2018, Granada, Spain, (DOI: 10.1007/978-3-030-00889-5_3)

2017

Conférence Internationale avec comité de lecture

[BCC17] H. Ben Younes, R. Cadene, M. Cord, N. Thome. "MUTAN: Multimodal Tucker Fusion for Visual Question Answering ", IEEE International Conference on Computer Vision (ICCV), October 2017, pp.2631-2639, Venice, Italy, (DOI: 10.1109/ICCV.2017.285)
[MTC17] T. Mordan, N. Thome, M. Cord, G. Henaff. "Deformable Part-based Fully Convolutional Network for Object Detection", British Machine Vision Conference (BMVC), September 2017, London, UK, Best Paper Award,
[DMT17] T. Durand, T. Mordan, N. Thome, M. Cord. "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017, pp.5957-5966, USA, Honolulu, Hawaii , (DOI: 10.1109/CVPR.2017.631)
[Zem17] R. Zemouri. "An evolutionary building algorithm for Deep Neural Networks", 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), June 2017, pp.1-7, France, (DOI: 10.1109/WSOM.2017.8020002)
[RLF17] H. Randrianarivo, B. Le Saux, M. Ferecatu. "Deep Learning for Urban Remote Sensing ", Joint Urban Remote Sesing Event (JURSE 2017), March 2017, pp.-, Dubai,
[YRC17] L. Yang, H. Rodrigues, M. Crucianu, M. Ferecatu. "Fully convolutional network with superpixel parsing for fashion Web image segmentation", International Conference on Multimedia Modeling (MMM2017), January 2017, Vol. 10132(-), pp.139-151, Series LNCS, Reykjavik, Iceland, (DOI: 10.1007/978-3-319-51811-4_12)

Conférence Nationale avec comité de lecture

[Fad17a] H. Fadili. "Feedback : use of deep learning in the context of Poorly endowed languages.", Traitement Automatique des Langues Naturelles (TALN), June 2017, pp.10, France,

Atelier, Poster ou Démonstration dans une Conférence Internationale

[BBC17] A. Besedin, P. Blanchart, M. Crucianu, M. Ferecatu. "Evolutive deep models for online learning on data streams with no storage", ECML/PKDD 2017 Workshop on Large-scale Learning from Data Streams in Evolving Environments, September 2017, Vol. -(-), pp.-, Skopje, Macedonia,

2016

Revue Internationale avec comité de lecture

[LRF16] B. Le Saux, H. Randrianarivo, M. Ferecatu. "Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contestâ€“Part A: 2-D Contest", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), vol. PP(99), pp. -, 2016, (doi:-)

Conférence Internationale avec comité de lecture

[BZD16a] A. Ben Abdallah, A. Zribi, A. Dziri, F. Tlili, M. Terre. "Ultra Wide Band Audio Visual PHY IEEE 802.15.3c for SPIHT-compressed Image Transmission", International Symposium on Signal, Image, Video and Communications, IEEE ISIVC 2016,, November 2016, pp.1-4, Tunisia,

2008

Rapport Scientifique

[CFU08a] E. Contejean, J. Forest, X. Urbain. "Deep-Embedded Unification", Date de dépot: 2008/01/01, (Tech. Rep.: CEDRIC-08-1547)