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2020 – today
- 2024
[j26]Emanuele Dalsasso
, Clément Rambour, Nicolas Trouvé, Nicolas Thome:
MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. 241: 103940 (2024)- [j25]Mustafa Shukor, Nicolas Thome, Matthieu Cord:
Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Comput. Vis. Image Underst. 247: 104071 (2024) - [j24]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145: 109909 (2024) - [j23]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) - [j22]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) - [i44]Marc Lafon, Clément Rambour, Nicolas Thome:
Energy Correction Model in the Feature Space for Out-of-Distribution Detection. CoRR abs/2403.10403 (2024) - [i43]Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome:
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR abs/2406.02842 (2024) - [i42]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome:
GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR abs/2407.01400 (2024) - [i41]Zakariae El Asri, Olivier Sigaud, Nicolas Thome:
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. CoRR abs/2407.02217 (2024) - [i40]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 abs/2407.07912 (2024) - [i39]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 abs/2407.12370 (2024) - 2023
- [j21]Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting With Shape and Temporal Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 342-355 (2023) - [c71]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 - [c70]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome:
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. ICML 2023: 18250-18268 - [c69]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. WACV 2023: 3223-3232 - [i38]Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome:
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR abs/2302.03462 (2023) - [i37]Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf:
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR abs/2302.10803 (2023) - [i36]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome:
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. CoRR abs/2305.16966 (2023) - [i35]Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome:
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. CoRR abs/2306.08707 (2023) - [i34]Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome:
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR abs/2307.06795 (2023) - [i33]Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome:
Optimization of Rank Losses for Image Retrieval. CoRR abs/2309.08250 (2023) - [i32]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:
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. CoRR abs/2310.12646 (2023) - 2022
- [j20]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): 129-139 (2022) - [j19]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): 6043-6055 (2022) - [c68]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CVPR Workshops 2022: 2696-2700 - [c67]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) 2022: 121-138 - [c66]Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot:
Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) 2022: 250-266 - [c65]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. ICPR 2022: 1280-1286 - [c64]Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome:
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. ICPR 2022: 3478-3484 - [c63]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI 2022: 121-130 - [i31]Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord:
Towards efficient feature sharing in MIMO architectures. CoRR abs/2205.10139 (2022) - [i30]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. CoRR abs/2205.10158 (2022) - [i29]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR abs/2207.03790 (2022) - [i28]Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot:
Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR abs/2207.04873 (2022) - [i27]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 abs/2208.12625 (2022) - [i26]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory transformers for full context and high-resolution 3D Medical Segmentation. CoRR abs/2210.05313 (2022) - [i25]Mustafa Shukor, Nicolas Thome, Matthieu Cord:
Structured Vision-Language Pretraining for Computational Cooking. CoRR abs/2212.04267 (2022) - [i24]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. CoRR abs/2212.07890 (2022) - 2021
- [j18]Olivier Petit, Nicolas Thome, Luc Soler:
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels. Comput. Medical Imaging Graph. 91: 101938 (2021) - [c62]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 - [c61]Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. MLMI@MICCAI 2021: 267-276 - [c60]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. NeurIPS 2021: 23569-23581 - [p2]Nicolas Thome:
Beyond Full Supervision in Deep Learning. Multi-faceted Deep Learning 2021: 73-101 - [i23]Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. CoRR abs/2103.06104 (2021) - [i22]Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting with Shape and Temporal Criteria. CoRR abs/2104.04610 (2021) - [i21]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. CoRR abs/2110.01445 (2021) - 2020
- [c59]Vincent Le Guen, Nicolas Thome:
A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. CVPR Workshops 2020: 2685-2688 - [c58]Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. CVPR 2020: 11471-11481 - [c57]Vincent Le Guen, Nicolas Thome:
Probabilistic Time Series Forecasting with Shape and Temporal Diversity. NeurIPS 2020 - [i20]Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. CoRR abs/2003.01460 (2020) - [i19]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 abs/2010.04456 (2020) - [i18]Vincent Le Guen, Nicolas Thome:
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. CoRR abs/2010.07349 (2020) - [i17]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. CoRR abs/2012.06508 (2020)
2010 – 2019
- 2019
- [j17]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): 1659-1679 (2019) - [j16]Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord:
Distributed optimization for deep learning with gossip exchange. Neurocomputing 330: 287-296 (2019) - [j15]Thibaut Durand, Nicolas Thome, Matthieu Cord:
Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 337-351 (2019) - [c56]Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI 2019: 8102-8109 - [c55]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR 2019: 1989-1998 - [c54]Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny:
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. ICCV 2019: 3473-3482 - [c53]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. NeurIPS 2019: 2898-2909 - [c52]Vincent Le Guen, Nicolas Thome:
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. NeurIPS 2019: 4191-4203 - [i16]Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR abs/1902.00038 (2019) - [i15]Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR abs/1902.09487 (2019) - [i14]Thomas Robert, Nicolas Thome, Matthieu Cord:
DualDis: Dual-Branch Disentangling with Adversarial Learning. CoRR abs/1906.00804 (2019) - [i13]Vincent Le Guen, Nicolas Thome:
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. CoRR abs/1909.09020 (2019) - [i12]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. CoRR abs/1910.04851 (2019) - 2018
- [j14]Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. 116: 29-35 (2018) - [j13]Thibaut Durand, Nicolas Thome, Matthieu Cord:
SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6099-6112 (2018) - [c51]Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord:
Manifold Learning in Quotient Spaces. CVPR 2018: 9165-9174 - [c50]Thomas Robert, Nicolas Thome, Matthieu Cord:
HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. ECCV (7) 2018: 158-175 - [c49]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
Shade: Information-Based Regularization for Deep Learning. ICIP 2018: 813-817 - [c48]Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler:
Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. DLMIA/ML-CDS@MICCAI 2018: 20-28 - [c47]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS 2018: 1317-1329 - [c46]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: 35-44 - [i11]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1804.10988 (2018) - [i10]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 abs/1804.11146 (2018) - [i9]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1805.05814 (2018) - [i8]Thomas Robert, Nicolas Thome, Matthieu Cord:
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. CoRR abs/1807.11407 (2018) - 2017
- [j12]Marc T. Law, Nicolas Thome, Matthieu Cord:
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. Int. J. Comput. Vis. 121(1): 65-94 (2017) - [j11]Xin Wang, Nicolas Thome, Matthieu Cord:
Gaze latent support vector machine for image classification improved by weakly supervised region selection. Pattern Recognit. 72: 59-71 (2017) - [c45]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Deformable Part-based Fully Convolutional Network for Object Detection. BMVC 2017 - [c44]Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord:
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR 2017: 5957-5966 - [c43]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV 2017: 2631-2639 - [i7]Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome:
MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR abs/1705.06676 (2017) - [i6]Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff:
Deformable Part-based Fully Convolutional Network for Object Detection. CoRR abs/1707.06175 (2017) - 2016
- [c42]Thibaut Durand, Nicolas Thome, Matthieu Cord:
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR 2016: 4743-4752 - [c41]Xin Wang, Nicolas Thome, Matthieu Cord:
Gaze latent support vector machine for image classification. ICIP 2016: 236-240 - [c40]Michaël Blot, Matthieu Cord, Nicolas Thome:
Max-min convolutional neural networks for image classification. ICIP 2016: 3678-3682 - [c39]Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle:
Deep Neural Networks Under Stress. ICIP 2016: 4443-4447 - [i5]Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle:
Deep Neural Networks Under Stress. CoRR abs/1605.03498 (2016) - [i4]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 abs/1610.05541 (2016) - [i3]Rémi Cadène, Nicolas Thome, Matthieu Cord:
Master's Thesis : Deep Learning for Visual Recognition. CoRR abs/1610.05567 (2016) - [i2]Michaël Blot, Matthieu Cord, Nicolas Thome:
Maxmin convolutional neural networks for image classification. CoRR abs/1610.07882 (2016) - [i1]Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome:
Gossip training for deep learning. CoRR abs/1611.09726 (2016) - 2015
- [c38]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: 223-238 - [c37]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: 9-17 - [c36]Thibaut Durand, Nicolas Thome, Matthieu Cord:
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV 2015: 2713-2721 - [c35]Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch:
LR-CNN for fine-grained classification with varying resolution. ICIP 2015: 3101-3105 - [c34]Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche:
Exemplar based metric learning for robust visual localization. ICIP 2015: 4342-4346 - [c33]Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso:
Recipe recognition with large multimodal food dataset. ICME Workshops 2015: 1-6 - 2014
- [j10]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
SnooperText: A text detection system for automatic indexing of urban scenes. Comput. Vis. Image Underst. 122: 92-104 (2014) - [j9]Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez:
Perceptual Principles for Video Classification With Slow Feature Analysis. IEEE J. Sel. Top. Signal Process. 8(3): 428-437 (2014) - [j8]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2212-2225 (2014) - [c32]Marc T. Law, Nicolas Thome, Matthieu Cord:
Fantope Regularization in Metric Learning. CVPR 2014: 1051-1058 - [c31]Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord:
Semantic pooling for image categorization using multiple kernel learning. ICIP 2014: 170-174 - [c30]Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard:
Incremental learning of latent structural SVM for weakly supervised image classification. ICIP 2014: 4246-4250 - [c29]Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR 2014 - [p1]Marc T. Law, Nicolas Thome, Matthieu Cord:
Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision 2014: 29-52 - 2013
- [j7]Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo:
Pooling in image representation: The visual codeword point of view. Comput. Vis. Image Underst. 117(5): 453-465 (2013) - [j6]David Picard, Nicolas Thome, Matthieu Cord:
JKernelMachines: a simple framework for kernel machine. J. Mach. Learn. Res. 14(1): 1417-1421 (2013) - [j5]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
T-HOG: An effective gradient-based descriptor for single line text regions. Pattern Recognit. 46(3): 1078-1090 (2013) - [j4]Christian Theriault, Nicolas Thome, Matthieu Cord:
Extended Coding and Pooling in the HMAX Model. IEEE Trans. Image Process. 22(2): 764-777 (2013) - [c28]Christian Theriault, Nicolas Thome, Matthieu Cord:
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. CVPR 2013: 2603-2610 - [c27]Marc T. Law, Nicolas Thome, Matthieu Cord:
Quadruplet-Wise Image Similarity Learning. ICCV 2013: 249-256 - [c26]Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila:
Image classification using object detectors. ICIP 2013: 4340-4344 - [c25]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Top-Down Regularization of Deep Belief Networks. NIPS 2013: 1878-1886 - 2012
- [c24]Marc T. Law, Carlos Sureda Gutierrez, Nicolas Thome, Stéphane Gançarski:
Structural and visual similarity learning for Web page archiving. CBMI 2012: 1-6 - [c23]Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo:
BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c22]Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord:
Structural and visual comparisons for web page archiving. ACM Symposium on Document Engineering 2012: 117-120 - [c21]Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) 2012: 298-311 - [c20]Marc T. Law, Nicolas Thome, Matthieu Cord:
Hybrid Pooling Fusion in the BoW Pipeline. ECCV Workshops (3) 2012: 355-364 - [c19]David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy:
Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. ESANN 2012 - [c18]Jonathan Guyomard, Nicolas Thome, Matthieu Cord, Thierry Artières:
Contextual detection of drawn symbols in old maps. ICIP 2012: 837-840 - [c17]Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord:
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. ICMLA (2) 2012: 339-344 - 2011
- [j3]Nicolas Thome, Antoine Vacavant, Lionel Robinault, Serge Miguet:
A cognitive and video-based approach for multinational License Plate Recognition. Mach. Vis. Appl. 22(2): 389-407 (2011) - [c16]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jorge Stolfi, Frédéric Precioso, Jonathan Guyomard, Neucimar J. Leite:
Text detection and recognition in urban scenes. ICCV Workshops 2011: 227-234 - [c15]Frédéric Precioso, Matthieu Cord, David Gorisse, Nicolas Thome:
Efficient Bag-of-Feature kernel representation for image similarity search. ICIP 2011: 109-112 - [c14]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi:
Snoopertrack: Text detection and tracking for outdoor videos. ICIP 2011: 505-508 - [c13]Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord:
Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP 2011: 1241-1244 - [c12]Christian Theriault, Nicolas Thome, Matthieu Cord:
HMAX-S: Deep scale representation for biologically inspired image categorization. ICIP 2011: 1261-1264 - [c11]Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo:
BOSSA: Extended bow formalism for image classification. ICIP 2011: 2909-2912 - [c10]Kheir-Eddine Aziz, Djamal Merad, Bernard Fertil, Nicolas Thome:
Pedestrian Head Detection and Tracking Using Skeleton Graph for People Counting in Crowded Environments. MVA 2011: 516-519 - 2010
- [c9]Djamel Merad, Kheir-Eddine Aziz, Nicolas Thome:
Fast People Counting Using Head Detection From Skeleton Graph. AVSS 2010: 151-156 - [c8]Djamel Merad, Kheir-Eddine Aziz, Nicolas Thome:
Fast People Counting Using Head Detection from Skeleton Graph. AVSS 2010: 233-240 - [c7]Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jonathan Fabrizio, Beatriz Marcotegui:
Snoopertext: A multiresolution system for text detection in complex visual scenes. ICIP 2010: 3861-3864 - [c6]David Picard, Nicolas Thome, Matthieu Cord:
An efficient system for combining complementary kernels in complex visual categorization tasks. ICIP 2010: 3877-3880
2000 – 2009
- 2008
- [j2]Nicolas Thome, Djamel Merad, Serge Miguet:
Learning articulated appearance models for tracking humans: A spectral graph matching approach. Signal Process. Image Commun. 23(10): 769-787 (2008) - [j1]Nicolas Thome, Serge Miguet, Sebastien Ambellouis:
A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1522-1532 (2008) - [c5]Nicolas Thome, Sebastien Ambellouis:
A bottom-up, view-point invariant human detector. ICPR 2008: 1-4 - 2007
- [c4]Nicolas Thome, Antoine Vacavant:
A Combined Statistical-Structural Strategy for Alphanumeric Recognition. ISVC (2) 2007: 529-538 - 2006
- [c3]Nicolas Thome, Djamel Merad, Serge Miguet:
Human Body Part Labeling and Tracking Using Graph Matching Theory. AVSS 2006: 38 - [c2]Nicolas Thome, Serge Miguet:
A HHMM-Based Approach for Robust Fall Detection. ICARCV 2006: 1-8 - 2005
- [c1]Nicolas Thome, Serge Miguet:
A robust appearance model for tracking human motions. AVSS 2005: 528-533
Coauthor Index
[j25] [j24] [i43] [j19] [c68] [c65] [i31] [i30] [i25] [i17] [j17] [j16] [j15] [c56] [c55] [c54] [c53] [i16] [i15] [i14] [i12] [j14] [j13] [c51] [c50] [c49] [c47] [c46] [i11] [i10] [i9] [i8] [j12] [j11] [c45] [c44] [c43] [i7] [i6] [c42] [c41] [c40] [c39] [i5] [i4] [i3] [i2] [i1] [c38] [c37] [c36] [c35] [c34] [c33] [j10] [j9] [j8] [c32] [c31] [c30] [c29] [p1] [j7] [j6] [j5] [j4] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c7] [c6]
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