A robust appearance model for tracking human motions. - Nicolas Thome; Serge Miguet (AVSS, 2005)

Human Body Part Labeling and Tracking Using Graph Matching Theory. - Nicolas Thome; Djamel Merad; Serge Miguet (AVSS, 2006)

A HHMM-Based Approach for Robust Fall Detection. - Nicolas Thome; Serge Miguet (ICARCV, 2006)

A Combined Statistical-Structural Strategy for Alphanumeric Recognition. - Nicolas Thome; Antoine Vacavant (ISVC (2), 2007)

A bottom-up, view-point invariant human detector. - Nicolas Thome; Sebastien Ambellouis (ICPR, 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 Real-Time, Multiview Fall Detection System: A LHMM-Based Approach. - Nicolas Thome; Serge Miguet; Sebastien Ambellouis (IEEE Trans. Circuits Syst. Video Technol., 2008)

Fast People Counting Using Head Detection From Skeleton Graph. - Djamel Merad; Kheir-Eddine Aziz; Nicolas Thome (AVSS, 2010)

Snoopertext: A multiresolution system for text detection in complex visual scenes. - Rodrigo Minetto; Nicolas Thome; Matthieu Cord; Jonathan Fabrizio; Beatriz Marcotegui (ICIP, 2010)

An efficient system for combining complementary kernels in complex visual categorization tasks. - David Picard; Nicolas Thome; Matthieu Cord (ICIP, 2010)

Text detection and recognition in urban scenes. - Rodrigo Minetto; Nicolas Thome; Matthieu Cord; Jorge Stolfi; Frédéric Precioso; Jonathan Guyomard; Neucimar J. Leite (ICCV Workshops, 2011)

BOSSA: Extended bow formalism for image classification. - Sandra Eliza Fontes de Avila; Nicolas Thome; Matthieu Cord; Eduardo Valle; Arnaldo de Albuquerque Araújo (ICIP, 2011)

Learning invariant color features with sparse topographic restricted Boltzmann machines. - Hanlin Goh; Lukasz Kusmierz; Joo-Hwee Lim; Nicolas Thome; Matthieu Cord (ICIP, 2011)

Snoopertrack: Text detection and tracking for outdoor videos. - Rodrigo Minetto; Nicolas Thome; Matthieu Cord; Neucimar J. Leite; Jorge Stolfi (ICIP, 2011)

Efficient Bag-of-Feature kernel representation for image similarity search. - Frédéric Precioso; Matthieu Cord; David Gorisse; Nicolas Thome (ICIP, 2011)

HMAX-S: Deep scale representation for biologically inspired image categorization. - Christian Theriault; Nicolas Thome; Matthieu Cord (ICIP, 2011)

Pedestrian Head Detection and Tracking Using Skeleton Graph for People Counting in Crowded Environments. - Kheir-Eddine Aziz; Djamal Merad; Bernard Fertil; Nicolas Thome (MVA, 2011)

A cognitive and video-based approach for multinational License Plate Recognition. - Nicolas Thome; Antoine Vacavant; Lionel Robinault; Serge Miguet (Mach. Vis. Appl., 2011)

Structural and visual similarity learning for Web page archiving. - Marc T. Law; Carlos Sureda Gutierrez; Nicolas Thome; Stéphane Gançarski (CBMI, 2012)

BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. - Sandra Eliza Fontes de Avila; Nicolas Thome; Matthieu Cord; Eduardo Valle; Arnaldo de Albuquerque Araújo (CLEF (Online Working Notes/Labs/Workshop), 2012)

Structural and visual comparisons for web page archiving. - Marc Teva Law; Nicolas Thome; Stéphane Gançarski; Matthieu Cord (ACM Symposium on Document Engineering, 2012)

Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. - Hanlin Goh; Nicolas Thome; Matthieu Cord; Joo-Hwee Lim (ECCV (5), 2012)

Hybrid Pooling Fusion in the BoW Pipeline. - Marc T. Law; Nicolas Thome; Matthieu Cord (ECCV Workshops (3), 2012)

Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. - David Picard; Nicolas Thome; Matthieu Cord; Alain Rakotomamonjy (ESANN, 2012)

Contextual detection of drawn symbols in old maps. - Jonathan Guyomard; Nicolas Thome; Matthieu Cord; Thierry Artières (ICIP, 2012)

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. - Corina Iovan; David Picard; Nicolas Thome; Matthieu Cord (ICMLA (2), 2012)

Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. - Christian Theriault; Nicolas Thome; Matthieu Cord (CVPR, 2013)

Quadruplet-Wise Image Similarity Learning. - Marc T. Law; Nicolas Thome; Matthieu Cord (ICCV, 2013)

Image classification using object detectors. - Thibaut Durand; Nicolas Thome; Matthieu Cord; Sandra Eliza Fontes de Avila (ICIP, 2013)

Top-Down Regularization of Deep Belief Networks. - Hanlin Goh; Nicolas Thome; Matthieu Cord; Joo-Hwee Lim (NIPS, 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)

JKernelMachines: a simple framework for kernel machine. - David Picard; Nicolas Thome; Matthieu Cord (J. Mach. Learn. Res., 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)

Extended Coding and Pooling in the HMAX Model. - Christian Theriault; Nicolas Thome; Matthieu Cord (IEEE Trans. Image Process., 2013)

Fantope Regularization in Metric Learning. - Marc T. Law; Nicolas Thome; Matthieu Cord (CVPR, 2014)

Semantic pooling for image categorization using multiple kernel learning. - Thibaut Durand; David Picard; Nicolas Thome; Matthieu Cord (ICIP, 2014)

Incremental learning of latent structural SVM for weakly supervised image classification. - Thibaut Durand; Nicolas Thome; Matthieu Cord; David Picard (ICIP, 2014)

Sequentially Generated Instance-Dependent Image Representations for Classification. - Gabriel Dulac-Arnold; Ludovic Denoyer; Nicolas Thome; Matthieu Cord; Patrick Gallinari (ICLR, 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)

Perceptual Principles for Video Classification With Slow Feature Analysis. - Christian Theriault; Nicolas Thome; Matthieu Cord; Patrick Pérez (IEEE J. Sel. Top. Signal Process., 2014)

Learning Deep Hierarchical Visual Feature Coding. - Hanlin Goh; Nicolas Thome; Matthieu Cord; Joo-Hwee Lim (IEEE Trans. Neural Networks Learn. Syst., 2014)

Bag-of-Words Image Representation: Key Ideas and Further Insight. - Marc T. Law; Nicolas Thome; Matthieu Cord (Fusion in Computer Vision, 2014)

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 (CORIA, 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 (CVPR Workshops, 2015)

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. - Thibaut Durand; Nicolas Thome; Matthieu Cord (ICCV, 2015)

Exemplar based metric learning for robust visual localization. - Cédric Le Barz; Nicolas Thome; Matthieu Cord; Stéphane Herbin; Martial Sanfourche (ICIP, 2015)

LR-CNN for fine-grained classification with varying resolution. - Marion Chevalier; Nicolas Thome; Matthieu Cord; Jérôme Fournier; Gilles Hénaff; Elodie Dusch (ICIP, 2015)

Recipe recognition with large multimodal food dataset. - Xin Wang 053; Devinder Kumar; Nicolas Thome; Matthieu Cord; Frédéric Precioso (ICME Workshops, 2015)

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. - Thibaut Durand; Nicolas Thome; Matthieu Cord (CVPR, 2016)

Max-min convolutional neural networks for image classification. - Michaël Blot; Matthieu Cord; Nicolas Thome (ICIP, 2016)

Deep Neural Networks Under Stress. - Micael Carvalho; Matthieu Cord; Sandra Eliza Fontes de Avila; Nicolas Thome; Eduardo Valle (ICIP, 2016)

Gaze latent support vector machine for image classification. - Xin Wang 053; Nicolas Thome; Matthieu Cord (ICIP, 2016)

Maxmin convolutional neural networks for image classification. - Michaël Blot; Matthieu Cord; Nicolas Thome (CoRR, 2016)

Gossip training for deep learning. - Michaël Blot; David Picard; Matthieu Cord; Nicolas Thome (CoRR, 2016)

M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. - Rémi Cadène; Thomas Robert 001; Nicolas Thome; Matthieu Cord (CoRR, 2016)

Master's Thesis : Deep Learning for Visual Recognition. - Rémi Cadène; Nicolas Thome; Matthieu Cord (CoRR, 2016)

Deformable Part-based Fully Convolutional Network for Object Detection. - Taylor Mordan; Nicolas Thome; Gilles Hénaff; Matthieu Cord (BMVC, 2017)

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. - Thibaut Durand; Taylor Mordan; Nicolas Thome; Matthieu Cord (CVPR, 2017)

MUTAN: Multimodal Tucker Fusion for Visual Question Answering. - Hédi Ben-Younes; Rémi Cadène; Matthieu Cord; Nicolas Thome (ICCV, 2017)

Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. - Marc T. Law; Nicolas Thome; Matthieu Cord (Int. J. Comput. Vis., 2017)

Gaze latent support vector machine for image classification improved by weakly supervised region selection. - Xin Wang 053; Nicolas Thome; Matthieu Cord (Pattern Recognit., 2017)

Manifold Learning in Quotient Spaces. - Éloi Mehr; André Lieutier; Fernando Sanchez Bermudez; Vincent Guitteny; Nicolas Thome; Matthieu Cord (CVPR, 2018)

HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. - Thomas Robert 001; Nicolas Thome; Matthieu Cord (ECCV (7), 2018)

Shade: Information-Based Regularization for Deep Learning. - Michaël Blot; Thomas Robert 001; Nicolas Thome; Matthieu Cord (ICIP, 2018)

Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. - Olivier Petit; Nicolas Thome; Arnaud Charnoz; Alexandre Hostettler; Luc Soler (DLMIA/ML-CDS@MICCAI, 2018)

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. - Taylor Mordan; Nicolas Thome; Gilles Hénaff; Matthieu Cord (NeurIPS, 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 (SIGIR, 2018)

Classifying low-resolution images by integrating privileged information in deep CNNs. - Marion Chevalier; Nicolas Thome; Gilles Hénaff; Matthieu Cord (Pattern Recognit. Lett., 2018)

SyMIL: MinMax Latent SVM for Weakly Labeled Data. - Thibaut Durand; Nicolas Thome; Matthieu Cord (IEEE Trans. Neural Networks Learn. Syst., 2018)

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. - Hédi Ben-Younes; Rémi Cadène; Nicolas Thome; Matthieu Cord (AAAI, 2019)

MUREL: Multimodal Relational Reasoning for Visual Question Answering. - Rémi Cadène; Hédi Ben-Younes; Matthieu Cord; Nicolas Thome (CVPR, 2019)

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. - Éloi Mehr; Ariane Jourdan; Nicolas Thome; Matthieu Cord; Vincent Guitteny (ICCV, 2019)

Addressing Failure Prediction by Learning Model Confidence. - Charles Corbière; Nicolas Thome; Avner Bar-Hen; Matthieu Cord; Patrick Pérez (NeurIPS, 2019)

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. - Vincent Le Guen; Nicolas Thome (NeurIPS, 2019)

DualDis: Dual-Branch Disentangling with Adversarial Learning. - Thomas Robert 001; Nicolas Thome; Matthieu Cord (CoRR, 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)

Distributed optimization for deep learning with gossip exchange. - Michaël Blot; David Picard; Nicolas Thome; Matthieu Cord (Neurocomputing, 2019)

Exploiting Negative Evidence for Deep Latent Structured Models. - Thibaut Durand; Nicolas Thome; Matthieu Cord (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. - Vincent Le Guen; Nicolas Thome (CVPR Workshops, 2020)

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. - Vincent Le Guen; Nicolas Thome (CVPR, 2020)

Probabilistic Time Series Forecasting with Shape and Temporal Diversity. - Vincent Le Guen; Nicolas Thome (NeurIPS, 2020)

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. - Vincent Le Guen; Nicolas Thome (CoRR, 2020)

Beyond Full Supervision in Deep Learning. - Nicolas Thome (Multi-faceted Deep Learning, 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 (ICLR, 2021)

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. - Olivier Petit; Nicolas Thome; Clément Rambour; Loic Themyr; Toby Collins; Luc Soler (MLMI@MICCAI, 2021)

Robust and Decomposable Average Precision for Image Retrieval. - Elias Ramzi; Nicolas Thome; Clément Rambour; Nicolas Audebert; Xavier Bitot (NeurIPS, 2021)

Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels. - Olivier Petit; Nicolas Thome; Luc Soler (Comput. Medical Imaging Graph., 2021)

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. - Olivier Petit; Nicolas Thome; Clément Rambour; Luc Soler (CoRR, 2021)

Towards efficient feature sharing in MIMO architectures. - Rémy Sun; Alexandre Ramé; Clément Masson; Nicolas Thome; Matthieu Cord (CVPR Workshops, 2022)

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. - Vincent Le Guen; Clément Rambour; Nicolas Thome (ECCV (21), 2022)

Hierarchical Average Precision Training for Pertinent Image Retrieval. - Elias Ramzi; Nicolas Audebert; Nicolas Thome; Clément Rambour; Xavier Bitot (ECCV (14), 2022)

Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. - Laura Calem; Hedi Ben-Younes; Patrick Pérez; Nicolas Thome (ICPR, 2022)

Swapping Semantic Contents for Mixing Images. - Rémy Sun; Clément Masson; Gilles Hénaff; Nicolas Thome; Matthieu Cord (ICPR, 2022)

Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. - Loic Themyr; Clément Rambour; Nicolas Thome; Toby Collins; Alexandre Hostettler (MLMI@MICCAI, 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)

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)

Structured Vision-Language Pretraining for Computational Cooking. - Mustafa Shukor; Nicolas Thome; Matthieu Cord (CoRR, 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)

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. - Steeven Janny; Aurélien Béneteau; Madiha Nadri; Julie Digne; Nicolas Thome; Christian Wolf 001 (ICLR, 2023)

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. - Marc Lafon; Elias Ramzi; Clément Rambour; Nicolas Thome (ICML, 2023)

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. - Loic Themyr; Clément Rambour; Nicolas Thome; Toby Collins; Alexandre Hostettler (WACV, 2023)

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. - Denis Coquenet; Clément Rambour; Emanuele Dalsasso; Nicolas Thome (CoRR, 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; et al. (CoRR, 2023)

Deep Time Series Forecasting With Shape and Temporal Criteria. - Vincent Le Guen; Nicolas Thome (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GalLoP: Learning Global and Local Prompts for Vision-Language Models. - Marc Lafon; Elias Ramzi; Clément Rambour; Nicolas Audebert; Nicolas Thome (ECCV (61), 2024)

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut. - Paul Couairon; Mustafa Shukor; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (NeurIPS, 2024)

Supra-Laplacian Encoding for Transformer on Dynamic Graphs. - Yannis Karmim; Marc Lafon; Raphaël Fournier-S'niehotta; Nicolas Thome (NeurIPS, 2024)

Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. - Zakariae El Asri; Olivier Sigaud; Nicolas Thome (RLJ, 2024)

Energy Correction Model in the Feature Space for Out-of-Distribution Detection. - Marc Lafon; Clément Rambour; Nicolas Thome (CoRR, 2024)

Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. - Paul Couairon; Mustafa Shukor; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (CoRR, 2024)

Temporal receptive field in dynamic graph learning: A comprehensive analysis. - Yannis Karmim; Leshanshui Yang; Raphaël Fournier-S'niehotta; Clément Chatelain 001; Sébastien Adam; Nicolas Thome (CoRR, 2024)

MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. - Emanuele Dalsasso; Clément Rambour; Nicolas Trouvé; Nicolas Thome (Comput. Vis. Image Underst., 2024)

Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. - Mustafa Shukor; Nicolas Thome; Matthieu Cord (Comput. Vis. Image Underst., 2024)

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. - Paul Couairon; Clément Rambour; Jean-Emmanuel Haugeard; Nicolas Thome (Trans. Mach. Learn. Res., 2024)

ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. - Yannis Karmim; Elias Ramzi; Raphaël Fournier-S'niehotta; Nicolas Thome (Trans. Mach. Learn. Res., 2024)

Semantic augmentation by mixing contents for semi-supervised learning. - Rémy Sun; Clément Masson; Gilles Hénaff; Nicolas Thome; Matthieu Cord (Pattern Recognit., 2024)

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. - Mohamed Salim Aissi; Clément Romac; Thomas Carta; Sylvain Lamprier; Pierre-Yves Oudeyer; Olivier Sigaud; Laure Soulier; Nicolas Thome (NAACL (Findings), 2025)

Global registration of kidneys in 3D ultrasound and CT images. - William Ndzimbong; Nicolas Thome; Cyril Fourniol; Yvonne Keeza; Benoît Sauer; Jacques Marescaux; Daniel George; Alexandre Hostettler; Toby Collins (Int. J. Comput. Assist. Radiol. Surg., 2025)

VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making. - Mohamed Salim Aissi; Clémence Grislain; Mohamed Chetouani; Olivier Sigaud; Laure Soulier; Nicolas Thome (CoRR, 2025)

UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. - Ismaël Zighed; Nicolas Thome; Patrick Gallinari; Taraneh Sayadi (CoRR, 2025)

JAFAR: Jack up Any Feature at Any Resolution. - Paul Couairon; Loïck Chambon; Louis Serrano; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (CoRR, 2025)

DIP: Unsupervised Dense In-Context Post-training of Visual Representations. - Sophia Sirko-Galouchenko; Spyros Gidaris; Antonín Vobecký; Andrei Bursuc; Nicolas Thome (CoRR, 2025)

Optimization of Rank Losses for Image Retrieval. - Elias Ramzi; Nicolas Audebert; Clément Rambour; André Araújo 001; Xavier Bitot; Nicolas Thome (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction. - Marc Lafon; Yannis Karmim; Julio Silva-Rodríguez; Paul Couairon; Clément Rambour; Raphaël Fournier-S'niehotta; Ismail Ben Ayed; Jose Dolz; Nicolas Thome (CoRR, 2025)

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation. - Marc Lafon; Gustavo Adolfo Vargas Hakim; Clément Rambour; Christian Desrosiers; Nicolas Thome (CoRR, 2025)