Nicolas Thome

According to our database, Nicolas Thome authored at least 108 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semantic augmentation by mixing contents for semi-supervised learning.

Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord

Pattern Recognit., January, 2024

Energy Correction Model in the Feature Space for Out-of-Distribution Detection.

Marc Lafon, Clément Rambour, Nicolas Thome

CoRR, 2024

2023

Deep Time Series Forecasting With Shape and Temporal Criteria.

Vincent Le Guen, Nicolas Thome

IEEE Trans. Pattern Anal. Mach. Intell., 2023

TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research.

William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Benoît Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

CoRR, 2023

Optimization of Rank Losses for Image Retrieval.

Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome

CoRR, 2023

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks.

Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome

CoRR, 2023

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing.

Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

CoRR, 2023

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation.

Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection.

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome

Proceedings of the International Conference on Machine Learning, 2023

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers.

Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Confidence Estimation via Auxiliary Models.

Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Vision-Language Pretraining for Computational Cooking.

Mustafa Shukor, Nicolas Thome, Matthieu Cord

CoRR, 2022

Take One Gram of Neural Features, Get Enhanced Group Robustness.

Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez

CoRR, 2022

3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks.

Olivier Petit, Nicolas Thome, Luc Soler

Int. J. Comput. Assist. Radiol. Surg., 2022

Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation.

Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Swapping Semantic Contents for Mixing Images.

Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints.

Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Hierarchical Average Precision Training for Pertinent Image Retrieval.

Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot

Proceedings of the Computer Vision - ECCV 2022, 2022

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction.

Vincent Le Guen, Clément Rambour, Nicolas Thome

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards efficient feature sharing in MIMO architectures.

Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation.

Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler

CoRR, 2021

Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.

Olivier Petit, Nicolas Thome, Luc Soler

Comput. Medical Imaging Graph., 2021

Robust and Decomposable Average Precision for Image Retrieval.

Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation.

Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting.

Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari

Proceedings of the 9th International Conference on Learning Representations, 2021

Beyond Full Supervision in Deep Learning.

Nicolas Thome

Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity.

Vincent Le Guen, Nicolas Thome

CoRR, 2020

Probabilistic Time Series Forecasting with Shape and Temporal Diversity.

Vincent Le Guen, Nicolas Thome

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction.

Vincent Le Guen, Nicolas Thome

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images.

Vincent Le Guen, Nicolas Thome

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Exploiting Negative Evidence for Deep Latent Structured Models.

Thibaut Durand, Nicolas Thome, Matthieu Cord

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Distributed optimization for deep learning with gossip exchange.

Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord

Neurocomputing, 2019

End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection.

Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Int. J. Comput. Vis., 2019

DualDis: Dual-Branch Disentangling with Adversarial Learning.

Thomas Robert, Nicolas Thome, Matthieu Cord

CoRR, 2019

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models.

Vincent Le Guen, Nicolas Thome

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Addressing Failure Prediction by Learning Model Confidence.

Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing.

Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MUREL: Multimodal Relational Reasoning for Visual Question Answering.

Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

SyMIL: MinMax Latent SVM for Weakly Labeled Data.

Thibaut Durand, Nicolas Thome, Matthieu Cord

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Pattern Recognit. Lett., 2018

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

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

Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Handling Missing Annotations for Semantic Segmentation with Deep ConvNets.

Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Shade: Information-Based Regularization for Deep Learning.

Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning.

Thomas Robert, Nicolas Thome, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2018, 2018

Manifold Learning in Quotient Spaces.

Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Gaze latent support vector machine for image classification improved by weakly supervised region selection.

Xin Wang, Nicolas Thome, Matthieu Cord

Pattern Recognit., 2017

Learning a Distance Metric from Relative Comparisons between Quadruplets of Images.

Marc T. Law, Nicolas Thome, Matthieu Cord

Int. J. Comput. Vis., 2017

MUTAN: Multimodal Tucker Fusion for Visual Question Answering.

Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome

Proceedings of the IEEE International Conference on Computer Vision, 2017

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation.

Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deformable Part-based Fully Convolutional Network for Object Detection.

Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Master's Thesis : Deep Learning for Visual Recognition.

Rémi Cadène, Nicolas Thome, Matthieu Cord

CoRR, 2016

M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification.

Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord

CoRR, 2016

Gossip training for deep learning.

Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome

CoRR, 2016

Maxmin convolutional neural networks for image classification.

Michaël Blot, Matthieu Cord, Nicolas Thome

CoRR, 2016

Gaze latent support vector machine for image classification.

Xin Wang, Nicolas Thome, Matthieu Cord

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Deep Neural Networks Under Stress.

Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Max-min convolutional neural networks for image classification.

Michaël Blot, Matthieu Cord, Nicolas Thome

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks.

Thibaut Durand, Nicolas Thome, Matthieu Cord

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Recipe recognition with large multimodal food dataset.

Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso

Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

LR-CNN for fine-grained classification with varying resolution.

Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Exemplar based metric learning for robust visual localization.

Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking.

Thibaut Durand, Nicolas Thome, Matthieu Cord

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning.

Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs.

Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord

Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

2014

Bag-of-Words Image Representation: Key Ideas and Further Insight.

Marc T. Law, Nicolas Thome, Matthieu Cord

Proceedings of the Fusion in Computer Vision - Understanding Complex Visual Content, 2014

Learning Deep Hierarchical Visual Feature Coding.

Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim

IEEE Trans. Neural Networks Learn. Syst., 2014

Perceptual Principles for Video Classification With Slow Feature Analysis.

Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez

IEEE J. Sel. Top. Signal Process., 2014

SnooperText: A text detection system for automatic indexing of urban scenes.

Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi

Comput. Vis. Image Underst., 2014

Sequentially Generated Instance-Dependent Image Representations for Classification.

Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari

Proceedings of the 2nd International Conference on Learning Representations, 2014

Incremental learning of latent structural SVM for weakly supervised image classification.

Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Semantic pooling for image categorization using multiple kernel learning.

Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Fantope Regularization in Metric Learning.

Marc T. Law, Nicolas Thome, Matthieu Cord

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Extended Coding and Pooling in the HMAX Model.

Christian Theriault, Nicolas Thome, Matthieu Cord

IEEE Trans. Image Process., 2013

T-HOG: An effective gradient-based descriptor for single line text regions.

Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi

Pattern Recognit., 2013

JKernelMachines: a simple framework for kernel machine.

David Picard, Nicolas Thome, Matthieu Cord

J. Mach. Learn. Res., 2013

Pooling in image representation: The visual codeword point of view.

Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo

Comput. Vis. Image Underst., 2013

Top-Down Regularization of Deep Belief Networks.

Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Image classification using object detectors.

Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila

Proceedings of the IEEE International Conference on Image Processing, 2013

Quadruplet-Wise Image Similarity Learning.

Marc T. Law, Nicolas Thome, Matthieu Cord

Proceedings of the IEEE International Conference on Computer Vision, 2013

Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis.

Christian Theriault, Nicolas Thome, Matthieu Cord

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context.

Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Contextual detection of drawn symbols in old maps.

Jonathan Guyomard, Nicolas Thome, Matthieu Cord, Thierry Artières

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm.

David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Hybrid Pooling Fusion in the BoW Pipeline.

Marc T. Law, Nicolas Thome, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines.

Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim

Proceedings of the Computer Vision - ECCV 2012, 2012

Structural and visual comparisons for web page archiving.

Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord

Proceedings of the ACM Symposium on Document Engineering, 2012

BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task.

Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

Structural and visual similarity learning for Web page archiving.

Marc T. Law, Carlos Sureda Gutierrez, Nicolas Thome, Stéphane Gançarski

Proceedings of the 10th International Workshop on Content-Based Multimedia Indexing, 2012

2011

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

Nicolas Thome, Antoine Vacavant, Lionel Robinault, Serge Miguet

Mach. Vis. Appl., 2011

Pedestrian Head Detection and Tracking Using Skeleton Graph for People Counting in Crowded Environments.

Kheir-Eddine Aziz, Djamal Merad, Bernard Fertil, Nicolas Thome

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

HMAX-S: Deep scale representation for biologically inspired image categorization.

Christian Theriault, Nicolas Thome, Matthieu Cord

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Efficient Bag-of-Feature kernel representation for image similarity search.

Frédéric Precioso, Matthieu Cord, David Gorisse, Nicolas Thome

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Snoopertrack: Text detection and tracking for outdoor videos.

Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Learning invariant color features with sparse topographic restricted Boltzmann machines.

Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

BOSSA: Extended bow formalism for image classification.

Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Text detection and recognition in urban scenes.

Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jorge Stolfi, Frédéric Precioso, Jonathan Guyomard, Neucimar J. Leite

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010

An efficient system for combining complementary kernels in complex visual categorization tasks.

David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the International Conference on Image Processing, 2010

Snoopertext: A multiresolution system for text detection in complex visual scenes.

Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jonathan Fabrizio, Beatriz Marcotegui

Proceedings of the International Conference on Image Processing, 2010

Fast People Counting Using Head Detection From Skeleton Graph.

Djamel Merad, Kheir-Eddine Aziz, Nicolas Thome

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

2008

A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach.

Nicolas Thome, Serge Miguet, Sebastien Ambellouis

IEEE Trans. Circuits Syst. Video Technol., 2008

Learning articulated appearance models for tracking humans: A spectral graph matching approach.

Nicolas Thome, Djamel Merad, Serge Miguet

Signal Process. Image Commun., 2008

A bottom-up, view-point invariant human detector.

Nicolas Thome, Sebastien Ambellouis

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

A Combined Statistical-Structural Strategy for Alphanumeric Recognition.

Nicolas Thome, Antoine Vacavant

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006

A HHMM-Based Approach for Robust Fall Detection.

Nicolas Thome, Serge Miguet

Proceedings of the Ninth International Conference on Control, 2006

Human Body Part Labeling and Tracking Using Graph Matching Theory.

Nicolas Thome, Djamel Merad, Serge Miguet

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

A robust appearance model for tracking human motions.

Nicolas Thome, Serge Miguet

Proceedings of the Advanced Video and Signal Based Surveillance, 2005