Stéphane Canu

ORCID

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 67

Top Venues

Publications

Carole Le Guyader, Samia Ainouz, Stéphane Canu
A Physically Admissible Stokes Vector Reconstruction in Linear Polarimetric Imaging. J. Math. Imaging Vis. 65 (4) (2023)
Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. WACV (2023)
Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR (2022)
Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. 222 (2022)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
The PolarLITIS Dataset: Road Scenes Under Fog. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. Comput. Vis. Image Underst. 223 (2022)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
Road Scene Analysis: A Study of Polarimetric and Color-based Features under Various Adverse Weather Conditions. VISIGRAPP (4: VISAPP) (2022)
Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. 158 (2022)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. 124 (2022)
Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters. CoRR (2021)
Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. CoRR (2021)
Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. IEEE Access 9 (2021)
Ruobing Shen, Bo Tang, Leo Liberti, Claudia D'Ambrosio, Stéphane Canu
Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice. J. Glob. Optim. 81 (1) (2021)
Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
Linear Program Powered Attack. IJCNN (2021)
Amirhossein Rahbari, Marc Rébillat, Nazih Mechbal, Stéphane Canu
Unsupervised damage clustering in complex aeronautical composite structures monitored by Lamb waves: An inductive approach. Eng. Appl. Artif. Intell. 97 (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR (2021)
Yi-Shuai Niu, Wentao Ding, Junpeng Hu, Wenxu Xu, Stéphane Canu
Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19. CoRR (2021)
Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. 30 (2021)
Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing 466 (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR (2021)
Tongxue Zhou, Stéphane Canu, Su Ruan
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. Int. J. Imaging Syst. Technol. 31 (1) (2021)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. CoRR (2021)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions. ICIP (2021)
Tongxue Zhou, Stéphane Canu, Su Ruan
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation. Comput. Medical Imaging Graph. 86 (2020)
Tongxue Zhou, Su Ruan, Stéphane Canu
A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR (2020)
Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stéphane Canu
Temporal Contrastive Pretraining for Video Action Recognition. WACV (2020)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
A new multimodal RGB and polarimetric image dataset for road scenes analysis. CVPR Workshops (2020)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. 101 (2020)
Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. ICPR (2020)
Tongxue Zhou, Stéphane Canu, Su Ruan
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR (2020)
Mahdi Jammal, Stéphane Canu, Maher Abdallah
Regularized Robust and Sparse Linear Modeling Using Discrete Optimization. LOD (2) (2020)
Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. CoRR (2020)
Mahdi Jammal, Stéphane Canu, Maher Abdallah
Robust and Sparse Support Vector Machines via Mixed Integer Programming. LOD (2) (2020)
Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu
A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR (2020)
Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) (2020)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging 5 (3) (2019)
Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning. CoRR (2019)
Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. MLMI@MICCAI (2019)
Emeric Dynomant, Stéfan Jacques Darmoni, Émeline Lejeune, Gaétan Kerdelhué, Jean-Philippe Leroy, Vincent Lequertier, Stéphane Canu, Julien Grosjean
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles. CoRR (2019)
Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
L1-norm double backpropagation adversarial defense. ESANN (2019)
Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning. ECML/PKDD (3) (2019)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. ITSC (2019)
Tongxue Zhou, Su Ruan, Stéphane Canu
A review: Deep learning for medical image segmentation using multi-modality fusion. Array (2019)
Emeric Dynomant, Romain Lelong, Badisse Dahamna, Clément Massonnaud, Gaétan Kerdelhué, Julien Grosjean, Stéphane Canu, Stéfan Jacques Darmoni
Word Embedding for French Natural Language in Healthcare: A Comparative Study. MedInfo (2019)
Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. CoRR (2019)
Jorge Guevara, Roberto Hirata Jr., Stéphane Canu
Kernels on fuzzy sets: an overview. CoRR (2019)
Ismaïla Seck, Gaëlle Loosli, Stéphane Canu
L 1-norm double backpropagation adversarial defense. CoRR (2019)
Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling. CoRR (2018)
Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné
Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling. FG (2018)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP (2018)
Stéphane Canu
Machine Learning, deep learning and optimization in computer vision. QCAV (2017)
Stéphane Canu, Dominique Fourdrinier
Unbiased risk estimates for matrix estimation in the elliptical case. J. Multivar. Anal. 158 (2017)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Converting SVDD scores into probability estimates: Application to outlier detection. Neurocomputing 268 (2017)
Ruobing Shen, Gerhard Reinelt, Stéphane Canu
A First Derivative Potts Model for Segmentation and Denoising Using MILP. CoRR (2017)
Ruobing Shen, Gerhard Reinelt, Stéphane Canu
A First Derivative Potts Model for Segmentation and Denoising Using ILP. OR (2017)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR (2017)
Jorge Guevara, Roberto Hirata, Stéphane Canu
Cross product kernels for fuzzy set similarity. FUZZ-IEEE (2017)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Converting SVDD scores into probability estimates. ESANN (2016)
Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu
Kernel Approximations for W-Operator Learning. SIBGRAPI (2016)
Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu
NILC: A two level learning algorithm with operator selection. ICIP (2016)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. 17 (2016)
Gaëlle Loosli, Stéphane Canu, Cheng Soon Ong
Learning SVM in Kreĭn Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 38 (6) (2016)
Denis Rousselle, Stéphane Canu
Optimal transport for semi-supervised domain adaptation. ESANN (2015)
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. CoRR (2015)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. CoRR (2015)
Meriem El Azami, Carole Lartizien, Stéphane Canu
Robust outlier detection with L0-SVDD. ESANN (2014)
Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. 23 (3) (2014)
Jorge Guevara, Roberto Hirata, Stéphane Canu
Positive definite kernel functions on fuzzy sets. FUZZ-IEEE (2014)
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Trans. Neural Networks Learn. Syst. 25 (6) (2014)
Antoine Lachaud, Stéphane Canu, David Mercier, Frédéric Suard
A robust regularization path for the Doubly Regularized Support Vector Machine. ESANN (2014)
Abou Keita, Romain Hérault, Colas Calbrix, Stéphane Canu
Detection and quantification in real-time polymerase chain reaction. ESANN (2013)
Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) (2013)
Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu
Emotional Influence on SSVEP Based BCI. ACII (2013)
Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
Multiple functional regression with both discrete and continuous covariates CoRR (2013)
Jorge Guevara, Roberto Hirata, Stéphane Canu
Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input. FUZZ-IEEE (2013)
Julien Delporte, Stéphane Canu, Alexandros Karatzoglou
Apprentissage et Factorisation pour la Recommandation. AAFD (2012)
Xilan Tian, Gilles Gasso, Stéphane Canu
A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing 90 (2012)
Xilan Tian, Gilles Gasso, Stéphane Canu
A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN (2011)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu
Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Trans. Neural Networks 22 (8) (2011)
Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu
Handling uncertainties in SVM classification CoRR (2011)
Stéphane Canu
Recent Advances in Kernel Machines. CIARP (2010)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
Nonlinear functional regression: a functional RKHS approach. AISTATS (2010)
Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu
Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Trans. Signal Process. 57 (12) (2009)
Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
Regularization path for Ranking SVM. ESANN (2008)
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu
Support Vector Machines with a Reject Option. NIPS (2008)
Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
More efficiency in multiple kernel learning. ICML (2007)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Sparsity regularization path for semi-supervised SVM. ICMLA (2007)
Gaëlle Loosli, Gilles Gasso, Stéphane Canu
-SVR. ISNN (3) (2007)
Karina Zapien Arreola, Gilles Gasso, Stéphane Canu
Estimation of tangent planes for neighborhood graph correction. ESANN (2007)
Gaëlle Loosli, Stéphane Canu
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". J. Mach. Learn. Res. 8 (2007)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security (2007)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Computing and stopping the solution paths for $\nu$-SVR. ESANN (2007)
Stéphane Canu, Alexander J. Smola
Kernel methods and the exponential family. Neurocomputing 69 (7-9) (2006)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Kernel Basis Pursuit. Rev. d'Intelligence Artif. 20 (6) (2006)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Translation-invariant classification of non-stationary signals. Neurocomputing 69 (7-9) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stéphane Canu