Nicolas Thome - RankMe

164 papers A* 23A 3B 26C 2Misc 1Journal 86Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions. CoRR Alexis Guichemerre, Banafsheh Karimian, Soufiane Belharbi, Natacha Gillet, Nicolas Thome, Pourya Shamsolmoali, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger
2025	J	`jnl`	CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation. CoRR Marc Lafon, Gustavo Adolfo Vargas Hakim, Clément Rambour, Christian Desrosiers, Nicolas Thome
2025	J	`jnl`	DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis. CoRR Jérémie Stym-Popper, Nathan Painchaud, Clément Rambour, Pierre-Yves Courand, Nicolas Thome, Olivier Bernard
2025	J	`jnl`	DIP: Unsupervised Dense In-Context Post-training of Visual Representations. CoRR Sophia Sirko-Galouchenko, Spyros Gidaris, Antonín Vobecký, Andrei Bursuc, Nicolas Thome
2025	J	`jnl`	Global registration of kidneys in 3D ultrasound and CT images. Int. J. Comput. Assist. Radiol. Surg. William Ndzimbong, Nicolas Thome, Cyril Fourniol, Yvonne Keeza, Benoît Sauer, Jacques Marescaux, Daniel George, Alexandre Hostettler, Toby Collins
2025	J	`jnl`	JAFAR: Jack up Any Feature at Any Resolution. CoRR Paul Couairon, Loïck Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
2025	J	`jnl`	NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering. CoRR Loïck Chambon, Paul Couairon, Eloi Zablocki, Alexandre Boulch, Nicolas Thome, Matthieu Cord
2025	J	`jnl`	Optimization of Rank Losses for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome
2025	A	`conf`	RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms. IROS Zakariae El Asri, Ibrahim Laiche, Clément Rambour, Olivier Sigaud, Nicolas Thome
2025	J	`jnl`	RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms. CoRR Zakariae El Asri, Ibrahim Laiche, Clément Rambour, Olivier Sigaud, Nicolas Thome
2025	—	`conf`	Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. NAACL (Findings) Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome
2025	J	`jnl`	Revisiting the Learning Objectives of Vision-Language Reward Models. CoRR Simon Roy, Samuel Barbeau, Giovanni Beltrame, Christian Desrosiers, Nicolas Thome
2025	J	`jnl`	UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. CoRR Ismaël Zighed, Nicolas Thome, Patrick Gallinari, Taraneh Sayadi
2025	J	`jnl`	VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making. CoRR Mohamed Salim Aissi, Clémence Grislain, Mohamed Chetouani, Olivier Sigaud, Laure Soulier, Nicolas Thome
2025	J	`jnl`	ViLU: Learning Vision-Language Uncertainties for Failure Prediction. CoRR Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-S'niehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome
2024	A*	`conf`	DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut. NeurIPS Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
2024	J	`jnl`	Energy Correction Model in the Feature Space for Out-of-Distribution Detection. CoRR Marc Lafon, Clément Rambour, Nicolas Thome
2024	—	`conf`	GalLoP: Learning Global and Local Prompts for Vision-Language Models. ECCV (61) Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
2024	J	`jnl`	GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome
2024	J	`jnl`	ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. CoRR Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome
2024	J	`jnl`	ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. Trans. Mach. Learn. Res. Yannis Karmim, Elias Ramzi, Raphaël Fournier-S'niehotta, Nicolas Thome
2024	J	`jnl`	MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. Emanuele Dalsasso, Clément Rambour, Nicolas Trouvé, Nicolas Thome
2024	J	`jnl`	Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. RLJ Zakariae El Asri, Olivier Sigaud, Nicolas Thome
2024	J	`jnl`	Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. CoRR Zakariae El Asri, Olivier Sigaud, Nicolas Thome
2024	J	`jnl`	Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. CoRR Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome
2024	J	`jnl`	Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2024	A*	`conf`	Supra-Laplacian Encoding for Transformer on Dynamic Graphs. NeurIPS Yannis Karmim, Marc Lafon, Raphaël Fournier-S'niehotta, Nicolas Thome
2024	J	`jnl`	Supra-Laplacian Encoding for Transformer on Dynamic Graphs. CoRR Yannis Karmim, Marc Lafon, Raphaël Fournier-S'niehotta, Nicolas Thome
2024	J	`jnl`	Temporal receptive field in dynamic graph learning: A comprehensive analysis. CoRR Yannis Karmim, Leshanshui Yang, Raphaël Fournier-S'niehotta, Clément Chatelain, Sébastien Adam, Nicolas Thome
2024	J	`jnl`	VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. Trans. Mach. Learn. Res. Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
2024	J	`jnl`	Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. Comput. Vis. Image Underst. Mustafa Shukor, Nicolas Thome, Matthieu Cord
2024	J	`jnl`	Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. CoRR Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
2023	J	`jnl`	Deep Time Series Forecasting With Shape and Temporal Criteria. IEEE Trans. Pattern Anal. Mach. Intell. Vincent Le Guen, Nicolas Thome
2023	J	`jnl`	Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
2023	A*	`conf`	EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. ICLR Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf
2023	J	`jnl`	Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf
2023	A	`conf`	Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. WACV Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
2023	A*	`conf`	Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. ICML Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome
2023	J	`jnl`	Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. CoRR Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome
2023	J	`jnl`	Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome
2023	J	`jnl`	Optimization of Rank Losses for Image Retrieval. CoRR Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome
2023	J	`jnl`	TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. CoRR 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
2023	J	`jnl`	VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. CoRR Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
2022	J	`jnl`	3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. Olivier Petit, Nicolas Thome, Luc Soler
2022	—	`conf`	Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) Vincent Le Guen, Clément Rambour, Nicolas Thome
2022	J	`jnl`	Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR Vincent Le Guen, Clément Rambour, Nicolas Thome
2022	J	`jnl`	Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
2022	B	`conf`	Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. ICPR Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
2022	J	`jnl`	Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. CoRR Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
2022	—	`conf`	Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
2022	J	`jnl`	Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
2022	—	`conf`	Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
2022	J	`jnl`	Memory transformers for full context and high-resolution 3D Medical Segmentation. CoRR Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
2022	J	`jnl`	Structured Vision-Language Pretraining for Computational Cooking. CoRR Mustafa Shukor, Nicolas Thome, Matthieu Cord
2022	B	`conf`	Swapping Semantic Contents for Mixing Images. ICPR Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2022	J	`jnl`	Swapping Semantic Contents for Mixing Images. CoRR Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2022	J	`jnl`	Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
2022	—	`conf`	Towards efficient feature sharing in MIMO architectures. CVPR Workshops Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
2022	J	`jnl`	Towards efficient feature sharing in MIMO architectures. CoRR Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord
2021	A*	`conf`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari
2021	—	`ch.`	Beyond Full Supervision in Deep Learning. Multi-faceted Deep Learning Nicolas Thome
2021	J	`jnl`	Deep Time Series Forecasting with Shape and Temporal Criteria. CoRR Vincent Le Guen, Nicolas Thome
2021	J	`jnl`	Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels. Comput. Medical Imaging Graph. Olivier Petit, Nicolas Thome, Luc Soler
2021	A*	`conf`	Robust and Decomposable Average Precision for Image Retrieval. NeurIPS Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
2021	J	`jnl`	Robust and Decomposable Average Precision for Image Retrieval. CoRR Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
2021	—	`conf`	U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. MLMI@MICCAI Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler
2021	J	`jnl`	U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. CoRR Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler
2020	—	`conf`	A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. CVPR Workshops Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
2020	J	`jnl`	Confidence Estimation via Auxiliary Models. CoRR Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
2020	A*	`conf`	Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. CVPR Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. CoRR Vincent Le Guen, Nicolas Thome
2020	A*	`conf`	Probabilistic Time Series Forecasting with Shape and Temporal Diversity. NeurIPS Vincent Le Guen, Nicolas Thome
2020	J	`jnl`	Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. CoRR Vincent Le Guen, Nicolas Thome
2019	A*	`conf`	Addressing Failure Prediction by Learning Model Confidence. NeurIPS Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
2019	J	`jnl`	Addressing Failure Prediction by Learning Model Confidence. CoRR Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
2019	A*	`conf`	BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
2019	J	`jnl`	BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. CoRR Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord
2019	A*	`conf`	DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. ICCV Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny
2019	J	`jnl`	Distributed optimization for deep learning with gossip exchange. Neurocomputing Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord
2019	J	`jnl`	DualDis: Dual-Branch Disentangling with Adversarial Learning. CoRR Thomas Robert, Nicolas Thome, Matthieu Cord
2019	J	`jnl`	End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. Int. J. Comput. Vis. Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2019	J	`jnl`	Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. Thibaut Durand, Nicolas Thome, Matthieu Cord
2019	A*	`conf`	MUREL: Multimodal Relational Reasoning for Visual Question Answering. CVPR Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome
2019	J	`jnl`	MUREL: Multimodal Relational Reasoning for Visual Question Answering. CoRR Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome
2019	A*	`conf`	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. NeurIPS Vincent Le Guen, Nicolas Thome
2019	J	`jnl`	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. CoRR Vincent Le Guen, Nicolas Thome
2018	J	`jnl`	Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2018	A*	`conf`	Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. SIGIR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
2018	J	`jnl`	Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. CoRR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord
2018	—	`conf`	Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. DLMIA/ML-CDS@MICCAI Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler
2018	J	`jnl`	HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. CoRR Thomas Robert, Nicolas Thome, Matthieu Cord
2018	—	`conf`	HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. ECCV (7) Thomas Robert, Nicolas Thome, Matthieu Cord
2018	A*	`conf`	Manifold Learning in Quotient Spaces. CVPR Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord
2018	A*	`conf`	Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2018	J	`jnl`	SHADE: Information-Based Regularization for Deep Learning. CoRR Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
2018	J	`jnl`	SHADE: Information-Based Regularization for Deep Learning. CoRR Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
2018	B	`conf`	Shade: Information-Based Regularization for Deep Learning. ICIP Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord
2018	J	`jnl`	SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. Thibaut Durand, Nicolas Thome, Matthieu Cord
2017	A	`conf`	Deformable Part-based Fully Convolutional Network for Object Detection. BMVC Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2017	J	`jnl`	Deformable Part-based Fully Convolutional Network for Object Detection. CoRR Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff
2017	J	`jnl`	Gaze latent support vector machine for image classification improved by weakly supervised region selection. Pattern Recognit. Xin Wang, Nicolas Thome, Matthieu Cord
2017	J	`jnl`	Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. Int. J. Comput. Vis. Marc T. Law, Nicolas Thome, Matthieu Cord
2017	A*	`conf`	MUTAN: Multimodal Tucker Fusion for Visual Question Answering. ICCV Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
2017	J	`jnl`	MUTAN: Multimodal Tucker Fusion for Visual Question Answering. CoRR Hédi Ben-Younes, Rémi Cadène, Matthieu Cord, Nicolas Thome
2017	A*	`conf`	WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord
2016	B	`conf`	Deep Neural Networks Under Stress. ICIP Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle
2016	J	`jnl`	Deep Neural Networks Under Stress. CoRR Micael Carvalho, Matthieu Cord, Sandra Eliza Fontes de Avila, Nicolas Thome, Eduardo Valle
2016	B	`conf`	Gaze latent support vector machine for image classification. ICIP Xin Wang, Nicolas Thome, Matthieu Cord
2016	J	`jnl`	Gossip training for deep learning. CoRR Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome
2016	J	`jnl`	M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification. CoRR Rémi Cadène, Thomas Robert, Nicolas Thome, Matthieu Cord
2016	J	`jnl`	Master's Thesis : Deep Learning for Visual Recognition. CoRR Rémi Cadène, Nicolas Thome, Matthieu Cord
2016	B	`conf`	Max-min convolutional neural networks for image classification. ICIP Michaël Blot, Matthieu Cord, Nicolas Thome
2016	J	`jnl`	Maxmin convolutional neural networks for image classification. CoRR Michaël Blot, Matthieu Cord, Nicolas Thome
2016	A*	`conf`	WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR Thibaut Durand, Nicolas Thome, Matthieu Cord
2015	—	`conf`	Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. CVPR Workshops Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche
2015	—	`conf`	Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord
2015	B	`conf`	Exemplar based metric learning for robust visual localization. ICIP Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche
2015	B	`conf`	LR-CNN for fine-grained classification with varying resolution. ICIP Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch
2015	A*	`conf`	MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV Thibaut Durand, Nicolas Thome, Matthieu Cord
2015	—	`conf`	Recipe recognition with large multimodal food dataset. ICME Workshops Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso
2014	—	`ch.`	Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision Marc T. Law, Nicolas Thome, Matthieu Cord
2014	A*	`conf`	Fantope Regularization in Metric Learning. CVPR Marc T. Law, Nicolas Thome, Matthieu Cord
2014	B	`conf`	Incremental learning of latent structural SVM for weakly supervised image classification. ICIP Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
2014	J	`jnl`	Learning Deep Hierarchical Visual Feature Coding. IEEE Trans. Neural Networks Learn. Syst. Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2014	J	`jnl`	Perceptual Principles for Video Classification With Slow Feature Analysis. IEEE J. Sel. Top. Signal Process. Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez
2014	B	`conf`	Semantic pooling for image categorization using multiple kernel learning. ICIP Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord
2014	—	`conf`	Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari
2014	J	`jnl`	SnooperText: A text detection system for automatic indexing of urban scenes. Comput. Vis. Image Underst. Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi
2013	A*	`conf`	Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. CVPR Christian Theriault, Nicolas Thome, Matthieu Cord
2013	J	`jnl`	Extended Coding and Pooling in the HMAX Model. IEEE Trans. Image Process. Christian Theriault, Nicolas Thome, Matthieu Cord
2013	B	`conf`	Image classification using object detectors. ICIP Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila
2013	J	`jnl`	JKernelMachines: a simple framework for kernel machine. J. Mach. Learn. Res. David Picard, Nicolas Thome, Matthieu Cord
2013	J	`jnl`	Pooling in image representation: The visual codeword point of view. Comput. Vis. Image Underst. Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo
2013	A*	`conf`	Quadruplet-Wise Image Similarity Learning. ICCV Marc T. Law, Nicolas Thome, Matthieu Cord
2013	J	`jnl`	T-HOG: An effective gradient-based descriptor for single line text regions. Pattern Recognit. Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi
2013	—	`conf`	Top-Down Regularization of Deep Belief Networks. NIPS Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2012	—	`conf`	BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo
2012	—	`conf`	Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. ICMLA (2) Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord
2012	B	`conf`	Contextual detection of drawn symbols in old maps. ICIP Jonathan Guyomard, Nicolas Thome, Matthieu Cord, Thierry Artières
2012	—	`conf`	Hybrid Pooling Fusion in the BoW Pipeline. ECCV Workshops (3) Marc T. Law, Nicolas Thome, Matthieu Cord
2012	B	`conf`	Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. ESANN David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy
2012	B	`conf`	Structural and visual comparisons for web page archiving. ACM Symposium on Document Engineering Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord
2012	C	`conf`	Structural and visual similarity learning for Web page archiving. CBMI Marc T. Law, Carlos Sureda Gutierrez, Nicolas Thome, Stéphane Gançarski
2012	—	`conf`	Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. ECCV (5) Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim
2011	J	`jnl`	A cognitive and video-based approach for multinational License Plate Recognition. Mach. Vis. Appl. Nicolas Thome, Antoine Vacavant, Lionel Robinault, Serge Miguet
2011	B	`conf`	BOSSA: Extended bow formalism for image classification. ICIP Sandra Eliza Fontes de Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo
2011	B	`conf`	Efficient Bag-of-Feature kernel representation for image similarity search. ICIP Frédéric Precioso, Matthieu Cord, David Gorisse, Nicolas Thome
2011	B	`conf`	HMAX-S: Deep scale representation for biologically inspired image categorization. ICIP Christian Theriault, Nicolas Thome, Matthieu Cord
2011	B	`conf`	Learning invariant color features with sparse topographic restricted Boltzmann machines. ICIP Hanlin Goh, Lukasz Kusmierz, Joo-Hwee Lim, Nicolas Thome, Matthieu Cord
2011	Misc	`conf`	Pedestrian Head Detection and Tracking Using Skeleton Graph for People Counting in Crowded Environments. MVA Kheir-Eddine Aziz, Djamal Merad, Bernard Fertil, Nicolas Thome
2011	B	`conf`	Snoopertrack: Text detection and tracking for outdoor videos. ICIP Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi
2011	—	`conf`	Text detection and recognition in urban scenes. ICCV Workshops Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jorge Stolfi, Frédéric Precioso, Jonathan Guyomard, Neucimar J. Leite
2010	B	`conf`	An efficient system for combining complementary kernels in complex visual categorization tasks. ICIP David Picard, Nicolas Thome, Matthieu Cord
2010	B	`conf`	Fast People Counting Using Head Detection From Skeleton Graph. AVSS Djamel Merad, Kheir-Eddine Aziz, Nicolas Thome
2010	B	`conf`	Fast People Counting Using Head Detection from Skeleton Graph. AVSS Djamel Merad, Kheir-Eddine Aziz, Nicolas Thome
2010	B	`conf`	Snoopertext: A multiresolution system for text detection in complex visual scenes. ICIP Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Jonathan Fabrizio, Beatriz Marcotegui
2008	J	`jnl`	A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach. IEEE Trans. Circuits Syst. Video Technol. Nicolas Thome, Serge Miguet, Sebastien Ambellouis
2008	B	`conf`	A bottom-up, view-point invariant human detector. ICPR Nicolas Thome, Sebastien Ambellouis
2008	J	`jnl`	Learning articulated appearance models for tracking humans: A spectral graph matching approach. Signal Process. Image Commun. Nicolas Thome, Djamel Merad, Serge Miguet
2007	—	`conf`	A Combined Statistical-Structural Strategy for Alphanumeric Recognition. ISVC (2) Nicolas Thome, Antoine Vacavant
2006	C	`conf`	A HHMM-Based Approach for Robust Fall Detection. ICARCV Nicolas Thome, Serge Miguet
2006	B	`conf`	Human Body Part Labeling and Tracking Using Graph Matching Theory. AVSS Nicolas Thome, Djamel Merad, Serge Miguet
2005	B	`conf`	A robust appearance model for tracking human motions. AVSS Nicolas Thome, Serge Miguet