Nicolas Thome

发表

A robust appearance model for tracking human motions

Nicolas Thome, Serge Miguet, Nicolas Thome, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

Text detection and recognition in urban scenes

Jorge Stolfi, Matthieu Cord, Frédéric Precioso, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

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

Matthieu Cord, Frédéric Precioso, Nicolas Thome, 2011, 2011 18th IEEE International Conference on Image Processing.

Gaze latent support vector machine for image classification

Matthieu Cord, Xin Wang, Nicolas Thome, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Deformable Part-based Fully Convolutional Network for Object Detection pdf

Matthieu Cord, Nicolas Thome, Taylor Mordan, 2017, BMVC.

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

Nicolas Thome, Serge Miguet, Djamel Merad, 2008, Signal Process. Image Commun..

Recipe recognition with large multimodal food dataset

Matthieu Cord, Nicolas Thome, Frédéric Precioso, 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks

Matthieu Cord, Nicolas Thome, Thibaut Durand, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Confidence Estimation via Auxiliary Models pdf

Matthieu Cord, Nicolas Thome, Tuan-Hung Vu, 2020, ArXiv.

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Matthieu Cord, Nicolas Thome, Hedi Ben-younes, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction

Nicolas Thome, Vincent Le Guen, Nicolas Thome, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Combined Statistical-Structural Strategy for Alphanumeric Recognition

Nicolas Thome, Antoine Vacavant, 2007, ISVC.

Hybrid Pooling Fusion in the BoW Pipeline

Matthieu Cord, Nicolas Thome, Marc T. Law, 2012, ECCV Workshops.

Learning invariant color features with sparse topographic restricted Boltzmann machines

Matthieu Cord, Joo-Hwee Lim, Nicolas Thome, 2011, 2011 18th IEEE International Conference on Image Processing.

Structural and visual comparisons for web page archiving

Matthieu Cord, Nicolas Thome, Marc Teva Law, 2012, DocEng '12.

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

Matthieu Cord, Nicolas Thome, David Picard, 2010, 2010 IEEE International Conference on Image Processing.

Human Body Part Labeling and Tracking Using Graph Matching Theory

Nicolas Thome, Serge Miguet, Djamel Merad, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Multitask Classification and Segmentation for Cancer Diagnosis in Mammography

Nicolas Thome, Sylvain Bernard, Fanny Patoureaux, 2019, 1909.05397.

Sequentially Generated Instance-Dependent Image Representations for Classification pdf

Matthieu Cord, Ludovic Denoyer, Nicolas Thome, 2014, ICLR.

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

Nicolas Thome, Serge Miguet, Sebastien Ambellouis, 2008, IEEE Transactions on Circuits and Systems for Video Technology.

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity pdf

Nicolas Thome, Vincent Le Guen, 2020, NeurIPS 2020.

Learning a Distance Metric from Relative Comparisons between Quadruplets of Images

Matthieu Cord, Nicolas Thome, Marc T. Law, 2016, International Journal of Computer Vision.

SyMIL: MinMax Latent SVM for Weakly Labeled Data

Matthieu Cord, Nicolas Thome, Thibaut Durand, 2018, IEEE Transactions on Neural Networks and Learning Systems.

JKernelMachines: a simple framework for kernel machine

Matthieu Cord, Nicolas Thome, David Picard, 2013, J. Mach. Learn. Res..

Top-Down Regularization of Deep Belief Networks

Matthieu Cord, Joo-Hwee Lim, Nicolas Thome, 2013, NIPS.

BOSSA: Extended bow formalism for image classification

Matthieu Cord, Arnaldo de Albuquerque Araújo, Nicolas Thome, 2011, 2011 18th IEEE International Conference on Image Processing.

Addressing Failure Prediction by Learning Model Confidence

Matthieu Cord, Nicolas Thome, Patrick Pérez, 2019, NeurIPS.

SHARE: Regularization for Deep Learning

Matthieu Cord, Nicolas Thome, Thomas Robert, 2018 .

Probabilistic Time Series Forecasting with Shape and Temporal Diversity

Nicolas Thome, Vincent Le Guen, Nicolas Thome, 2020, NeurIPS.

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

Matthieu Cord, Nicolas Thome, Christian Theriault, 2011, 2011 18th IEEE International Conference on Image Processing.

Biasing Deep ConvNets for Semantic Segmentation of Medical Images with a Prior-driven Prediction Function

Luc Soler, Nicolas Thome, Olivier Petit, 2019 .

People Counting using Skeleton Graph and Tracking

Bernard Fertil, Nicolas Thome, Djamel Merad, 2011 .

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

Matthieu Cord, Nicolas Thome, Thomas Robert, 2018, ECCV.

Master's Thesis : Deep Learning for Visual Recognition pdf

Matthieu Cord, Nicolas Thome, Rémi Cadène, 2016, ArXiv.

Handling Missing Annotations for Semantic Segmentation with Deep ConvNets

Alexandre Hostettler, Luc Soler, Nicolas Thome, 2018, DLMIA/ML-CDS@MICCAI.

Max-min convolutional neural networks for image classification

Matthieu Cord, Nicolas Thome, Michael Blot, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Learning Deep Hierarchical Visual Feature Coding

Matthieu Cord, Joo-Hwee Lim, Nicolas Thome, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Semantic pooling for image categorization using multiple kernel learning

Matthieu Cord, Nicolas Thome, David Picard, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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

Nicolas Thome, Vincent Le Guen, 2019, NeurIPS.

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

Matthieu Cord, Nicolas Thome, Taylor Mordan, 2018, International Journal of Computer Vision.

Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity

Matthieu Cord, Nicolas Thome, Hanlin Goh, 2010, NIPS 2010.

Contextual detection of drawn symbols in old maps

Matthieu Cord, Nicolas Thome, Jonathan Guyomard, 2012, 2012 19th IEEE International Conference on Image Processing.

LR-CNN for fine-grained classification with varying resolution

Matthieu Cord, Jérome Fournier, Nicolas Thome, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

Matthieu Cord, Laure Soulier, Nicolas Thome, 2018, SIGIR.

Perceptual Principles for Video Classification With Slow Feature Analysis

Patrick Pérez, Matthieu Cord, Nicolas Thome, 2014, IEEE Journal of Selected Topics in Signal Processing.

A bottom-up, view-point invariant human detector

Nicolas Thome, Sebastien Ambellouis, 2008, 2008 19th International Conference on Pattern Recognition.

Image classification using object detectors

Matthieu Cord, Nicolas Thome, Sandra Eliza Fontes de Avila, 2013, 2013 IEEE International Conference on Image Processing.

Gaze latent support vector machine for image classification

Matthieu Cord, Xin Wang, Nicolas Thome, 2016, ICIP.

Fast People Counting Using Head Detection from Skeleton Graph

Nicolas Thome, Djamel Merad, Kheir Eddine Aziz, 2010, AVSS.

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

Matthieu Cord, Nicolas Thome, Marc Teva Law, 2015, CORIA.

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing

Matthieu Cord, Nicolas Thome, Vincent Guitteny, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Matthieu Cord, Nicolas Thome, Thomas Robert, 2016, ArXiv.

MUREL: Multimodal Relational Reasoning for Visual Question Answering

Matthieu Cord, Nicolas Thome, Hedi Ben-younes, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LOW RESOLUTION CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC TARGET RECOGNITION

Matthieu Cord, Nicolas Thome, Marion Chevalier, 2016 .

Shade: Information-Based Regularization for Deep Learning

Matthieu Cord, Nicolas Thome, Thomas Robert, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines

Matthieu Cord, Joo-Hwee Lim, Nicolas Thome, 2012, ECCV.

Augmenting physical models with deep networks for complex dynamics forecasting pdf

Nicolas Thome, Vincent Le Guen, Yuan Yin, 2020, ICLR.

Manifold Learning in Quotient Spaces

Matthieu Cord, André Lieutier, Nicolas Thome, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task

Matthieu Cord, Arnaldo de Albuquerque Araújo, Nicolas Thome, 2012, CLEF.

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

Matthieu Cord, Nicolas Thome, Marion Chevalier, 2018, Pattern Recognit. Lett..

Fast People Counting Using Head Detection from Skeleton Graph

Nicolas Thome, Djamel Merad, Kheir-Eddine Aziz, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

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

Bernard Fertil, Nicolas Thome, Djamel Merad, 2011, MVA.

Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis

Matthieu Cord, Nicolas Thome, Christian Theriault, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Exploiting Negative Evidence for Deep Latent Structured Models

Matthieu Cord, Nicolas Thome, Thibaut Durand, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Jorge Stolfi, Matthieu Cord, Rodrigo Minetto, 2013, Pattern Recognit..

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

Matthieu Cord, Nicolas Thome, David Picard, 2012, ESANN.

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

Matthieu Cord, Nicolas Thome, Marc T. Law, 2014, Fusion in Computer Vision.

Quadruplet-Wise Image Similarity Learning

Matthieu Cord, Nicolas Thome, Marc T. Law, 2013, 2013 IEEE International Conference on Computer Vision.

Incremental learning of latent structural SVM for weakly supervised image classification

Matthieu Cord, Nicolas Thome, David Picard, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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

Matthieu Cord, Nicolas Thome, David Picard, 2012, 2012 11th International Conference on Machine Learning and Applications.

DualDis: Dual-Branch Disentangling with Adversarial Learning pdf

Matthieu Cord, Nicolas Thome, Thomas Robert, 2019, ArXiv.

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

Matthieu Cord, Nicolas Thome, Hedi Ben-younes, 2019, AAAI.

Exemplar based metric learning for robust visual localization

Matthieu Cord, Nicolas Thome, Stéphane Herbin, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

Jorge Stolfi, Matthieu Cord, Rodrigo Minetto, 2014, Comput. Vis. Image Underst..

Pooling in image representation: The visual codeword point of view

Matthieu Cord, Arnaldo de Albuquerque Araújo, Nicolas Thome, 2013, Comput. Vis. Image Underst..

Gossip training for deep learning pdf

Matthieu Cord, Nicolas Thome, David Picard, 2016, ArXiv.

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

Nicolas Thome, Serge Miguet, Antoine Vacavant, 2010, Machine Vision and Applications.

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

Matthieu Cord, Nicolas Thome, Thibaut Durand, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

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

Matthieu Cord, Nicolas Thome, Taylor Mordan, 2018, NeurIPS.

Extended Coding and Pooling in the HMAX Model

Matthieu Cord, Nicolas Thome, Christian Theriault, 2013, IEEE Transactions on Image Processing.

A HHMM-Based Approach for Robust Fall Detection

Nicolas Thome, Serge Miguet, Nicolas Thome, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

SHADE: SHAnnon DEcay Information-Based Regularization for Deep Learning

Matthieu Cord, Nicolas Thome, Thomas Robert, 2018 .

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

Matthieu Cord, Nicolas Thome, Taylor Mordan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Neural Networks Under Stress

Matthieu Cord, Nicolas Thome, Eduardo Valle, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

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

Matthieu Cord, Nicolas Thome, Stéphane Herbin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Structural and visual similarity learning for Web page archiving

Nicolas Thome, Stéphane Gançarski, Marc T. Law, 2012, 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI).

Snoopertrack: Text detection and tracking for outdoor videos

Jorge Stolfi, Matthieu Cord, Rodrigo Minetto, 2011, 2011 18th IEEE International Conference on Image Processing.

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

Matthieu Cord, Rodrigo Minetto, Nicolas Thome, 2010, 2010 IEEE International Conference on Image Processing.

Fantope Regularization in Metric Learning

Matthieu Cord, Nicolas Thome, Marc T. Law, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Time Series Forecasting with Shape and Temporal Criteria pdf

Nicolas Thome, Vincent Le Guen, 2021, ArXiv.

Augmenting physical models with deep networks for complex dynamics forecasting

Nicolas Thome, Patrick Gallinari, Vincent Le Guen, 2021, ICLR.

Robust and Decomposable Average Precision for Image Retrieval pdf

Nicolas Thome, Nicolas Audebert, Elias Ramzi, 2021, NeurIPS.

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

Luc Soler, Nicolas Thome, Olivier Petit, 2021, International Journal of Computer Assisted Radiology and Surgery.

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

Luc Soler, Nicolas Thome, Olivier Petit, 2021, Comput. Medical Imaging Graph..

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

Luc Soler, Nicolas Thome, Cl'ement Rambour, 2021, MLMI@MICCAI.

Confidence Estimation via Auxiliary Models

Matthieu Cord, Nicolas Thome, Charles Corbiere, 2021, IEEE transactions on pattern analysis and machine intelligence.

Global Robot Ego-localization Combining Image Retrieval and HMM-based Filtering

Matthieu Cord, Nicolas Thome, Stéphane Herbin, 2014 .

A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images

Nicolas Thome, Vincent Le Guen, Nicolas Thome, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).