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Liste des publications
2019
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[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
Revue Internationale avec comité de lecture
2018
- [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)
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[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,
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[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,
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[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)
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[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,
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[ 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,
-
[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)
Revue Internationale avec comité de lecture
Conférence Internationale avec comité de lecture
Atelier, Poster ou Démonstration dans une Conférence Internationale
2017
-
[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)
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[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)
- [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,
- [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,
