Nicolas Thome

Professeur
Equipe MSDMA
Mail : nicolas.thome

Publications

[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)
[BPT19] M. Blot, D. Picard, N. Thome, M. Cord. "Distributed Optimization for Deep Learning with Gossip Exchange", Neurcomputing, 2019, (doi:10.1016/j.neucom.2018.11.002)

[BCT19] H. Ben Younes, R. Cadene, N. Thome, M. Cord. "BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection", AAAI Conference on Artificial Intelligence, January 2019, Honolulu, Hawaii , USA,

[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)
[DTC18a] T. Durand, N. Thome, M. Cord. "SyMIL: MinMax Latent SVM for Weakly Labeled Data", IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, 2018, (doi: 10.1109/TNNLS.2018.2820055)

[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,
[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,

[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)

[WTC17] X. Wang , N. Thome, M. Cord. "Gaze latent support vector machine for image classification improved by weakly supervised region selection ", Pattern Recognition, vol. 72, pp. 59-71, 2017, (doi:10.1016/j.patcog.2017.07.001)

[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)