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HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning

Thomas Robert , Nicolas Thome , Matthieu Cord
ECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.158-175, ⟨10.1007/978-3-030-01234-2_10⟩
Conference papers hal-02073640v1

A HHMM-Based Approach for Robust Fall Detection

Nicolas Thome , Serge Miguet
9th International Conference on Control, Automation, Robotics & Vision, ICARCV'06, Dec 2006, Singapore, Singapore. pp.1-8, ⟨10.1109/ICARCV.2006.345146⟩
Conference papers hal-01613501v1
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Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection

Xin Wang , Nicolas Thome , Matthieu Cord
Pattern Recognition, 2017, 72, pp.59-71. ⟨10.1016/j.patcog.2017.07.001⟩
Journal articles hal-01557368v1
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Multitask Classification and Segmentation for Cancer Diagnosis in Mammography

Thi-Lam-Thuy Le , Nicolas Thome , Sylvain Bernard , Vincent Bismuth , Fanny Patoureaux
2019
Other publications hal-02986361v1

Confidence Estimation via Auxiliary Models

Charles Corbière , Nicolas Thome , Antoine Saporta , Tuan-Hung Vu , Matthieu Cord , et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, In press, pp.1-1. ⟨10.1109/TPAMI.2021.3085983⟩
Journal articles hal-03252079v1

A cognitive and video-based approach for multinational License Plate Recognition

Nicolas Thome , Antoine Vacavant , Lionel Robinault , Serge Miguet
Machine Vision and Applications, 2011, 22 (2), pp.389-407. ⟨10.1007/s00138-010-0246-3⟩
Journal articles istex hal-01172444v1
Image document

Deep Neural Networks Under Stress

Micael Carvalho , Matthieu Cord , Sandra Avila , Nicolas Thome , Eduardo Valle
IEEE International Conference on Image Processing (ICIP 2016), Sep 2016, Phoenix, AZ, United States. ⟨10.1109/ICIP.2016.7533200⟩
Conference papers hal-01340298v1

A Real-Time, Multi-View Fall Detection System: a LHMM-Based Approach

Nicolas Thome , Serge Miguet , Sébastien Ambellouis
IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18 (11), pp.1522-1532. ⟨10.1109/TCSVT.2008.2005606⟩
Journal articles hal-01172413v1
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Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity

Hanlin Goh , Nicolas Thome , Matthieu Cord
NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Dec 2010, Vancouver, Canada
Conference papers hal-00716050v1

Extended Bag-of-Words Formalism for Image Classification

Sandra Avila , Nicolas Thome , Matthieu Cord , Eduardo Valle , Arnaldo de Albuquerque Araújo
Brazilian Symposium on Computer Graphics and Image Processing, Aug 2013, Arequipa, Peru
Conference papers hal-01216114v1
Image document

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

Hedi Ben-Younes , Remi Cadene , Nicolas Thome , Matthieu Cord
AAAI 2019 - 33rd AAAI Conference on Artificial Intelligence, Jan 2019, Honolulu, United States
Conference papers hal-02073644v1
Image document

MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation

Emanuele Dalsasso , Clément Rambour , Nicolas Trouvé , Nicolas Thome
2023
Preprints, Working Papers, ... hal-04163624v1
Image document

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection

Taylor Mordan , Nicolas Thome , Gilles Henaff , Matthieu Cord
32nd Conference on Neural Information Processing Systems (NeurIPS), Dec 2018, Montréal, Canada
Conference papers hal-01922291v3
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SyMIL: MinMax Latent SVM for Weakly Labeled Data

Thibaut Durand , Nicolas Thome , Matthieu Cord
IEEE Transactions on Neural Networks and Learning Systems, 2018, 29 (12), pp.6099-6112. ⟨10.1109/TNNLS.2018.2820055⟩
Journal articles hal-01972163v1
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Learning Invariant Color Features with Sparse Topographic Restricted Boltzmann Machines

Hanlin Goh , Kuśmierz Łukasz , Joo-Hwee Lim , Nicolas Thome , Matthieu Cord
ICIP 2011 - IEEE International Conference on Image Processing, Sep 2011, Brussels, Belgium. pp.1241-1244, ⟨10.1109/ICIP.2011.6115657⟩
Conference papers hal-00716053v1
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Unsupervised and supervised visual codes with restricted Boltzmann machines

Hanlin Goh , Nicolas Thome , Matthieu Cord , Joo-Hwee Lim
12th European conference on Computer Vision, Oct 2012, Florence, Italy. pp.298-311, ⟨10.1007/978-3-642-33715-4_22⟩
Conference papers hal-00816428v1
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JKernelMachines: A Simple Framework for Kernel Machines

David Picard , Nicolas Thome , Matthieu Cord
Journal of Machine Learning Research, 2013, 14, pp.1417-1421
Journal articles hal-00832030v1

SNOOPERTRACK: TEXT DETECTION AND TRACKING FOR OUTDOOR VIDEOS

Rodrigo Minetto , Nicolas Thome , Matthieu Cord , Neucimar J. Leite , Jorge Stolfi
IEEE International Conference on Image Processing (ICIP), Sep 2011, Brussels, Belgium. pp.505-508, ⟨10.1109/ICIP.2011.6116563⟩
Conference papers hal-00625414v1

SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes

Rodrigo Minetto , Nicolas Thome , Matthieu Cord , Neucimar J. Leite , Jorge Stolfi
Computer Vision and Image Understanding, 2014, 122, pp.92-104. ⟨10.1016/j.cviu.2013.10.004⟩
Journal articles hal-01185469v1
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WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

Thibaut Durand , Taylor Mordan , Nicolas Thome , Matthieu Cord
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), IEEE, Jul 2017, Honolulu, HI, United States. pp.5957-5966, ⟨10.1109/CVPR.2017.631⟩
Conference papers hal-01515640v1
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U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

Olivier Petit , Nicolas Thome , Clement Rambour , Loic Themyr , Toby Collins , et al.
MICCAI workshop MLMI, Sep 2021, Strasbourg (virtuel), France
Conference papers hal-03337089v1
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Robust and Decomposable Average Precision for Image Retrieval

Elias Ramzi , Nicolas Thome , Clément Rambour , Nicolas Audebert , Xavier Bitot
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Sydney, Australia
Conference papers hal-03359605v3
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EAGLE: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Steeven Janny , Aurélien Beneteau , Madiha Nadri , Julie Digne , Nicolas Thome , et al.
International Conference on Learning Representation, May 2023, Kigali, Rwanda
Conference papers hal-03992436v2
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Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition

Charles Corbière , Marc Lafon , Nicolas Thome , Matthieu Cord , Patrick Pérez
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, Sep 2021, Virtual, Austria
Conference papers hal-03347628v1

Représentations hiérarchiques et discriminantes pour la reconnaissance des formes, l'identification des personnes et l'analyse des mouvements dans les séquences d'images

Nicolas Thome
2007
Preprints, Working Papers, ... hal-01463008v1
Image document

MUREL: Multimodal Relational Reasoning for Visual Question Answering

Remi Cadene , Hedi Ben-Younes , Matthieu Cord , Nicolas Thome
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019, Long Beach, CA, United States
Conference papers hal-02073649v1
Image document

Quadruplet-Wise Image Similarity Learning

Marc T Law , Nicolas Thome , Matthieu Cord
IEEE International Conference on Computer Vision (ICCV), Dec 2013, Sydney, Australia. pp.249 - 256, ⟨10.1109/ICCV.2013.38⟩
Conference papers hal-01094069v1
Image document

Top-Down Regularization of Deep Belief Networks

Hanlin Goh , Nicolas Thome , Matthieu Cord , Joo-Hwee Lim
Advances in Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States. pp.1878-1886
Conference papers hal-00947569v1

Classifying low-resolution images by integrating privileged information in deep CNNs

Marion Chevalier , Nicolas Thome , Gilles Henaff , Matthieu Cord
Pattern Recognition Letters, 2018, 116, pp.29-35. ⟨10.1016/j.patrec.2018.09.007⟩
Journal articles hal-02470742v1
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Distributed Optimization for Deep Learning with Gossip Exchange

Michael Blot , David Picard , Nicolas Thome , Matthieu Cord
Neurocomputing, 2019, 330, pp.287-296. ⟨10.1016/j.neucom.2018.11.002⟩
Journal articles hal-01930346v1