Nicolas Thome

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 99

Top Venues

Publications

Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR (2024)
Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR (2024)
Marc Lafon, Clément Rambour, Nicolas Thome
Energy Correction Model in the Feature Space for Out-of-Distribution Detection. CoRR (2024)
Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. Trans. Mach. Learn. Res. 2024 (2024)
Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. CoRR (2024)
Yannis Karmim, Leshanshui Yang, Raphaël Fournier S'Niehotta, Clément Chatelain, Sébastien Adam, Nicolas Thome
Temporal receptive field in dynamic graph learning: A comprehensive analysis. CoRR (2024)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145 (2024)
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. Trans. Mach. Learn. Res. 2024 (2024)
Mustafa Shukor, Nicolas Thome, Matthieu Cord
Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Comput. Vis. Image Underst. 247 (2024)
Zakariae El Asri, Olivier Sigaud, Nicolas Thome
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. CoRR (2024)
Emanuele Dalsasso, Clément Rambour, Nicolas Trouvé, Nicolas Thome
MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. 241 (2024)
Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR (2023)
Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR (2023)
Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR (2023)
Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. WACV (2023)
Vincent Le Guen, Nicolas Thome
Deep Time Series Forecasting With Shape and Temporal Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araujo, Xavier Bitot, Nicolas Thome
Optimization of Rank Losses for Image Retrieval. CoRR (2023)
Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. CoRR (2023)
Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. ICLR (2023)
William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Beniot Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. CoRR (2023)
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. CoRR (2023)
Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. ICML (2023)
Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI (2022)
Vincent Le Guen, Clément Rambour, Nicolas Thome
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) (2022)
Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. CoRR (2022)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CoRR (2022)
Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Memory transformers for full context and high-resolution 3D Medical Segmentation. CoRR (2022)
Olivier Petit, Nicolas Thome, Luc Soler
3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 17 (1) (2022)
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR (2022)
Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
Towards efficient feature sharing in MIMO architectures. CVPR Workshops (2022)
Vincent Le Guen, Clément Rambour, Nicolas Thome
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR (2022)
Mustafa Shukor, Nicolas Thome, Matthieu Cord
Structured Vision-Language Pretraining for Computational Cooking. CoRR (2022)
Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) (2022)
Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. ICPR (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. CoRR (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. ICPR (2022)
Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR (2022)
Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR (2021)
Olivier Petit, Nicolas Thome, Luc Soler
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels. Comput. Medical Imaging Graph. 91 (2021)
Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
Robust and Decomposable Average Precision for Image Retrieval. NeurIPS (2021)
Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
Robust and Decomposable Average Precision for Image Retrieval. CoRR (2021)
Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. CoRR (2021)
Olivier Petit, Nicolas Thome, Clement Rambour, Loic Themyr, Toby Collins, Luc Soler
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. MLMI@MICCAI (2021)
Vincent Le Guen, Nicolas Thome
Deep Time Series Forecasting with Shape and Temporal Criteria. CoRR (2021)
Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR (2020)
Vincent Le Guen, Nicolas Thome
A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. CVPR Workshops (2020)
Vincent Le Guen, Nicolas Thome
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. CoRR (2020)
Vincent Le Guen, Nicolas Thome
Probabilistic Time Series Forecasting with Shape and Temporal Diversity. NeurIPS (2020)
Vincent Le Guen, Nicolas Thome
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. CVPR (2020)
Vincent Le Guen, Nicolas Thome
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. CoRR (2020)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. CoRR (2020)
Rémi Cadène, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR (2019)
Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. ICCV (2019)
Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI (2019)
Hedi Ben-younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR (2019)
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
Addressing Failure Prediction by Learning Model Confidence. CoRR (2019)
Rémi Cadène, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR (2019)
Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord
Distributed optimization for deep learning with gossip exchange. Neurocomputing 330 (2019)
Vincent Le Guen, Nicolas Thome
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. CoRR (2019)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. Int. J. Comput. Vis. 127 (11-12) (2019)
Thomas Robert, Nicolas Thome, Matthieu Cord
DualDis: Dual-Branch Disentangling with Adversarial Learning. CoRR (2019)
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
Addressing Failure Prediction by Learning Model Confidence. NeurIPS (2019)
Vincent Le Guen, Nicolas Thome
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. NeurIPS (2019)
Thibaut Durand, Nicolas Thome, Matthieu Cord
Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
SHADE: Information-Based Regularization for Deep Learning. CoRR (2018)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS (2018)
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. CoRR (2018)
Thibaut Durand, Nicolas Thome, Matthieu Cord
SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. SIGIR (2018)
Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
Shade: Information-Based Regularization for Deep Learning. ICIP (2018)
Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. DLMIA/ML-CDS@MICCAI (2018)
Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
SHADE: Information-Based Regularization for Deep Learning. CoRR (2018)
Thomas Robert, Nicolas Thome, Matthieu Cord
HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. ECCV (7) (2018)
Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. 116 (2018)
Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord
Manifold Learning in Quotient Spaces. CVPR (2018)
Thomas Robert, Nicolas Thome, Matthieu Cord
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. CoRR (2018)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Deformable Part-based Fully Convolutional Network for Object Detection. BMVC (2017)
Hedi Ben-younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR (2017)
Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff
Deformable Part-based Fully Convolutional Network for Object Detection. CoRR (2017)
Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR (2017)
Xin Wang, Nicolas Thome, Matthieu Cord
Gaze latent support vector machine for image classification improved by weakly supervised region selection. Pattern Recognit. 72 (2017)
Hedi Ben-younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV (2017)
Marc T. Law, Nicolas Thome, Matthieu Cord
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. Int. J. Comput. Vis. 121 (1) (2017)
Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle
Deep Neural Networks Under Stress. CoRR (2016)
Michaël Blot, Matthieu Cord, Nicolas Thome
Maxmin convolutional neural networks for image classification. CoRR (2016)
Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle
Deep Neural Networks Under Stress. ICIP (2016)
Xin Wang, Nicolas Thome, Matthieu Cord
Gaze latent support vector machine for image classification. ICIP (2016)
Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord
M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. CoRR (2016)
Michaël Blot, Matthieu Cord, Nicolas Thome
Max-min convolutional neural networks for image classification. ICIP (2016)
Thibaut Durand, Nicolas Thome, Matthieu Cord
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR (2016)
Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome
Gossip training for deep learning. CoRR (2016)
Rémi Cadène, Nicolas Thome, Matthieu Cord
Master's Thesis : Deep Learning for Visual Recognition. CoRR (2016)
Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord
Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA (2015)
Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche
Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. CVPR Workshops (2015)
Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche
Exemplar based metric learning for robust visual localization. ICIP (2015)
Thibaut Durand, Nicolas Thome, Matthieu Cord
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV (2015)
Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch
LR-CNN for fine-grained classification with varying resolution. ICIP (2015)
Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso
Recipe recognition with large multimodal food dataset. ICME Workshops (2015)
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Thome