David Picard - RankMe

136 papers A* 9A 4B 26C 2Misc 4Journal 73Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	One View Is Enough! Monocular Training for In-the-Wild Novel View Generation. CoRR Adrien Ramanana Rahary, Nicolas Dufour, Patrick Perez, David Picard
2026	J	`jnl`	Polynomial Mixing for Efficient Self-supervised Speech Encoders. CoRR Eva Feillet, Ryan Whetten, David Picard, Alexandre Allauzen
2025	J	`jnl`	3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review. CoRR Salma Galaaoui, Eduardo Valle, David Picard, Nermin Samet
2025	J	`jnl`	A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries. Multim. Tools Appl. Valérie Lee-Gouet, Lahcen Yamoun, Zacharie Rodière, Camille Simon Chane, Michel Jordan, Julien Longhi, David Picard
2025	A*	`conf`	Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. CVPR Nicolas Dufour, Vicky Kalogeiton, David Picard, Loïc Landrieu
2025	J	`jnl`	Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling. CoRR Simon Lepage, Jérémie Mary, David Picard
2025	J	`jnl`	How far can we go with ImageNet for Text-to-Image generation? CoRR Lucas Degeorge, Arijit Ghosh, Nicolas Dufour, David Picard, Vicky Kalogeiton
2025	J	`jnl`	MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency. CoRR Nicolas Dufour, Lucas Degeorge, Arijit Ghosh, Vicky Kalogeiton, David Picard
2025	J	`jnl`	Markov Chain Estimation with In-Context Learning. CoRR Simon Lepage, Jérémie Mary, David Picard
2024	A	`conf`	An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. WACV Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot
2024	J	`jnl`	Analysis of Classifier-Free Guidance Weight Schedulers. CoRR Xi Wang, Nicolas Dufour, Nefeli Andreou, Marie-Paule Cani, Victoria Fernández Abrevaya, David Picard, Vicky Kalogeiton
2024	J	`jnl`	Analysis of Classifier-Free Guidance Weight Schedulers. Trans. Mach. Learn. Res. Xi Wang, Nicolas Dufour, Nefeli Andreou, Marie-Paule Cani, Victoria Fernández Abrevaya, David Picard, Vicky Kalogeiton
2024	J	`jnl`	Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. CoRR Nicolas Dufour, David Picard, Vicky Kalogeiton, Loïc Landrieu
2024	A*	`conf`	Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion. CVPR Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
2024	J	`jnl`	Don't drop your samples! Coherence-aware training benefits Conditional diffusion. CoRR Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
2024	J	`jnl`	Multiple Locally Linear Kernel Machines. CoRR David Picard
2024	—	`conf`	PAFUSE: Part-Based Diffusion for 3D Whole-Body Pose Estimation. ECCV Workshops (13) Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
2024	J	`jnl`	PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation. CoRR Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
2024	J	`jnl`	PoM: Efficient Image and Video Generation with the Polynomial Mixer. CoRR David Picard, Nicolas Dufour
2024	J	`jnl`	Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? IEEE Access Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
2023	J	`jnl`	Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search. CoRR Marie-Morgane Paumard, Hedi Tabia, David Picard
2023	J	`jnl`	An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. CoRR Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot
2023	J	`jnl`	EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2023	A	`conf`	FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. WACV Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide
2023	A*	`conf`	H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. ICCV Yue Zhu, Nermin Samet, David Picard
2023	J	`jnl`	Image Compression using only Attention based Neural Networks. CoRR Natacha Luka, Romain Negrel, David Picard
2023	—	`conf`	PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. CoLLAs Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide
2023	J	`jnl`	SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression. Pattern Recognit. Diogo Carbonera Luvizon, Hedi Tabia, David Picard
2023	A*	`conf`	Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2023	J	`jnl`	Weakly-Supervised Conditional Embedding for Referred Visual Search. CoRR Simon Lepage, Jérémie Mary, David Picard
2022	J	`jnl`	Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates. Int. J. Comput. Vis. Diogo C. Luvizon, David Picard, Hedi Tabia
2022	—	`conf`	Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting. ACCV (4) Yue Zhu, David Picard
2022	J	`jnl`	Decanus to Legatus: Synthetic training for 2D-3D human pose lifting. CoRR Yue Zhu, David Picard
2022	J	`jnl`	FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. CoRR Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide
2022	J	`jnl`	H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. CoRR Yue Zhu, Nermin Samet, David Picard
2022	B	`conf`	Improving Deep Metric Learning with Virtual Classes and Examples Mining. ICIP Pierre Jacob, David Picard, Aymeric Histace
2022	J	`jnl`	Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. CoRR Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2022	A	`conf`	Latent reweighting, an almost free improvement for GANs. WACV Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
2022	J	`jnl`	Optimal precision for GANs. CoRR Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2022	J	`jnl`	PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. CoRR Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide
2022	—	`conf`	SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation. ECCV (14) Nicolas Dufour, David Picard, Vicky Kalogeiton
2022	J	`jnl`	SCAM! Transferring humans between images with Semantic Cross Attention Modulation. CoRR Nicolas Dufour, David Picard, Vicky Kalogeiton
2022	J	`jnl`	Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? CoRR Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
2021	—	`conf`	Apprentissage non supervisé de représentations de mots à l'aide de réseaux de convolution bilinéaires sur des caractères. CORIA Thomas Luka, Laure Soulier, David Picard
2021	J	`jnl`	EdiBERT, a generative model for image editing. CoRR Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
2021	—	`conf`	Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
2021	J	`jnl`	Image Collation: Matching illustrations in manuscripts. CoRR Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
2021	J	`jnl`	Latent reweighting, an almost free improvement for GANs. CoRR Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
2021	J	`jnl`	Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving. CoRR Victor Besnier, David Picard, Alexandre Briot
2021	B	`conf`	Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving. ICIP Victor Besnier, David Picard, Alexandre Briot
2021	J	`jnl`	Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Diogo C. Luvizon, David Picard, Hedi Tabia
2021	J	`jnl`	Non asymptotic bounds in asynchronous sum-weight gossip protocols. CoRR David Picard, Jérôme Fellus, Stéphane Garnier
2021	J	`jnl`	Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems. CoRR Arsenia Chorti, David Picard
2021	J	`jnl`	Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision. CoRR David Picard
2021	A*	`conf`	Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. ICCV Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2021	J	`jnl`	Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. CoRR Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
2021	B	`conf`	Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. ESANN Thomas Luka, Laure Soulier, David Picard
2020	J	`jnl`	DIABLO: Dictionary-based Attention Block for Deep Metric Learning. CoRR Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2020	J	`jnl`	DIABLO: Dictionary-based attention block for deep metric learning. Pattern Recognit. Lett. Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2020	J	`jnl`	Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization. IEEE Trans. Image Process. Marie-Morgane Paumard, David Picard, Hedi Tabia
2020	J	`jnl`	Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization. CoRR Marie-Morgane Paumard, David Picard, Hedi Tabia
2020	J	`jnl`	Improving Deep Metric Learning with Virtual Classes and Examples Mining. CoRR Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2020	J	`jnl`	SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression. CoRR Diogo C. Luvizon, Hedi Tabia, David Picard
2019	J	`jnl`	Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates. CoRR Diogo C. Luvizon, Hedi Tabia, David Picard
2019	J	`jnl`	Distributed optimization for deep learning with gossip exchange. Neurocomputing Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord
2019	B	`conf`	Efficient Codebook and Factorization for Second Order Representation Learning. ICIP Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2019	J	`jnl`	Efficient Codebook and Factorization for Second Order Representation Learning. CoRR Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2019	J	`jnl`	Human pose regression by combining indirect part detection and contextual information. Comput. Graph. Diogo C. Luvizon, Hedi Tabia, David Picard
2019	A*	`conf`	Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. ICCV Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2019	J	`jnl`	Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. CoRR Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2019	J	`jnl`	Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. CoRR Diogo C. Luvizon, Hedi Tabia, David Picard
2018	A*	`conf`	2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning. CVPR Diogo C. Luvizon, David Picard, Hedi Tabia
2018	J	`jnl`	2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. CoRR Diogo C. Luvizon, David Picard, Hedi Tabia
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`	Image Reassembly Combining Deep Learning and Shortest Path Problem. ECCV (6) Marie-Morgane Paumard, David Picard, Hedi Tabia
2018	J	`jnl`	Image Reassembly Combining Deep Learning and Shortest Path Problem. CoRR Marie-Morgane Paumard, David Picard, Hedi Tabia
2018	J	`jnl`	Images & Recipes: Retrieval in the cooking context. CoRR Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
2018	—	`conf`	Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord
2018	B	`conf`	Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. ICIP Marie-Morgane Paumard, David Picard, Hedi Tabia
2018	J	`jnl`	Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. CoRR Marie-Morgane Paumard, David Picard, Hedi Tabia
2018	B	`conf`	Leveraging Implicit Spatial Information in Global Features for Image Retrieval. ICIP Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2018	J	`jnl`	Leveraging Implicit Spatial Information in Global Features for Image Retrieval. CoRR Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
2017	—	`book`	Contributions à l'apprentissage de représentations pour l'indexation basée sur le contenu visuel. David Picard
2017	J	`jnl`	Human Pose Regression by Combining Indirect Part Detection and Contextual Information. CoRR Diogo C. Luvizon, Hedi Tabia, David Picard
2017	J	`jnl`	Learning features combination for human action recognition from skeleton sequences. Pattern Recognit. Lett. Diogo Carbonera Luvizon, Hedi Tabia, David Picard
2017	J	`jnl`	Special Section Guest Editorial: Image Processing for Cultural Heritage. J. Electronic Imaging Aladine Chetouani, Robert Erdmann, David Picard, Filippo Stanco
2017	J	`jnl`	Very Fast Kernel SVM under Budget Constraints. CoRR David Picard
2016	J	`jnl`	Gossip training for deep learning. CoRR Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome
2016	J	`jnl`	Local polynomial space-time descriptors for action classification. Mach. Vis. Appl. Olivier Kihl, David Picard, Philippe Henri Gosselin
2016	Misc	`conf`	Non-negative dictionary learning for paper watermark similarity. ACSSC David Picard, Thomas Henn, Georg Dietz
2016	B	`conf`	Preserving local spatial information in image similarity using tensor aggregation of local features. ICIP David Picard
2016	Misc	`conf`	Wove paper analysis through texture similarities. ACSSC Patrice Abry, Andrew G. Klein, Paul Messier, Stéphane G. Roux, Margaret Holben Ellis, William A. Sethares, David Picard, Yuanhao Zhai, David L. Neuhoff, Herwig Wendt, Stéphane Jaffard, C. Richard Johnson Jr.
2015	J	`jnl`	A unified framework for local visual descriptors evaluation. Pattern Recognit. Olivier Kihl, David Picard, Philippe Henri Gosselin
2015	B	`conf`	Asynchronous decentralized convex optimization through short-term gradient averaging. ESANN Jérôme Fellus, David Picard, Philippe-Henri Gosselin
2015	J	`jnl`	Asynchronous gossip principal components analysis. Neurocomputing Jérôme Fellus, David Picard, Philippe Henri Gosselin
2015	J	`jnl`	Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active learning with applications to text classification. IEEE Signal Process. Mag. David Picard, Philippe Henri Gosselin, Marie-Claude Gaspard
2015	—	`conf`	IRIM at TRECVID 2015: Semantic Indexing. TRECVID Hervé Le Borgne, Philippe Henri Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
2015	J	`jnl`	Indexation multimédia par dictionnaires visuels en environnement décentralisé. Une approche par protocoles Gossip. Traitement du Signal Jérôme Fellus, David Picard, Philippe-Henri Gosselin
2015	—	`conf`	On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion. PAAMS (Workshops) Nicolas Cazin, Aymeric Histace, David Picard, Benoît Gaudou
2014	A*	`conf`	Covariance Descriptors for 3D Shape Matching and Retrieval. CVPR Hedi Tabia, Hamid Laga, David Picard, Philippe Henri Gosselin
2014	B	`conf`	Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. ESANN Jérôme Fellus, David Picard, Philippe Henri Gosselin
2014	B	`conf`	Dimensionality reduction of visual features using sparse projectors for content-based image retrieval. ICIP Romain Negrel, David Picard, Philippe Henri Gosselin
2014	B	`conf`	Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval. ICPR Romain Negrel, David Picard, Philippe Henri Gosselin
2014	C	`conf`	Evaluation of second-order visual features for land-use classification. CBMI Romain Negrel, David Picard, Philippe Henri Gosselin
2014	—	`conf`	IRIM at TRECVID 2014: Semantic Indexing and Instance Search. TRECVID Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Nadia Derbas, Mateusz Budnik, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
2014	B	`conf`	Incremental learning of latent structural SVM for weakly supervised image classification. ICIP Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
2014	B	`conf`	Photographic paper texture classification using model deviation of local visual descriptors. ICIP David Picard, Ngoc-Son Vu, Inbar Fijalkow
2014	Misc	`conf`	Second order model deviations of local Gabor features for texture classification. ACSSC David Picard, Inbar Fijalkow
2014	B	`conf`	Semantic pooling for image categorization using multiple kernel learning. ICIP Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord
2013	B	`conf`	3D shape similarity using vectors of locally aggregated tensors. ICIP Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin
2013	B	`conf`	A unified formalism for video descriptors. ICIP Olivier Kihl, David Picard, Philippe Henri Gosselin
2013	—	`conf`	Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval. 3DOR@Eurographics Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin
2013	—	`conf`	Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets. ICDM Workshops Jérôme Fellus, David Picard, Philippe Henri Gosselin
2013	J	`jnl`	Efficient image signatures and similarities using tensor products of local descriptors. Comput. Vis. Image Underst. David Picard, Philippe Henri Gosselin
2013	A	`conf`	Fast Approximation of Distance Between Elastic Curves using Kernels. BMVC Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin
2013	—	`conf`	IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. TRECVID Nicolas Ballas, Benjamin Labbé, Hervé Le Borgne, Philippe Gosselin, David Picard, Miriam Redi, Bernard Mérialdo, Iván González-Díaz, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Thi-Thu-Thuy Vuong, Han Dong, Nadia Derbas, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat
2013	J	`jnl`	JKernelMachines: a simple framework for kernel machine. J. Mach. Learn. Res. David Picard, Nicolas Thome, Matthieu Cord
2013	Misc	`conf`	Local polynomial space-time descriptors for actions classification. MVA Olivier Kihl, David Picard, Philippe Henri Gosselin
2013	B	`conf`	Machine Learning and Content-Based Multimedia Retrieval. ESANN Philippe Henri Gosselin, David Picard
2013	B	`conf`	Multi-criteria search algorithm: An efficient approximate k-NN algorithm for image retrieval. ICIP Mehdi Badr, Dan Vodislav, David Picard, Shaoyi Yin, Philippe Henri Gosselin
2013	J	`jnl`	Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors. IEEE Multim. Romain Negrel, David Picard, Philippe Henri Gosselin
2012	J	`jnl`	An application of swarm intelligence to distributed image retrieval. Inf. Sci. David Picard, Arnaud Revel, Matthieu Cord
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`	Compact tensor based image representation for similarity search. ICIP Romain Negrel, David Picard, Philippe Henri Gosselin
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`	Using spatial pyramids with compacted VLAT for image categorization. ICPR Romain Negrel, David Picard, Philippe Henri Gosselin
2011	B	`conf`	Improving image similarity with vectors of locally aggregated tensors. ICIP David Picard, Philippe Henri Gosselin
2010	B	`conf`	An efficient system for combining complementary kernels in complex visual categorization tasks. ICIP David Picard, Nicolas Thome, Matthieu Cord
2009	B	`conf`	Geometric consistency checking for local-descriptor based document retrieval. ACM Symposium on Document Engineering Eduardo Valle, David Picard, Matthieu Cord
2008	J	`jnl`	Image Retrieval Over Networks: Active Learning Using Ant Algorithm. IEEE Trans. Multim. David Picard, Matthieu Cord, Arnaud Revel
2008	C	`conf`	Image retrieval over networks: Ant algorithm for long term active learning. CBMI David Picard, Arnaud Revel, Matthieu Cord
2008	B	`conf`	Long term learning for image retrieval over networks. ICIP David Picard, Arnaud Revel, Matthieu Cord
2008	—	`—`	Recherche d'images sur un réseau à l'aide d'un système multi-agents. (Distributed Content Based Image Retrieval using a Multi-Agent System). David Picard
2006	B	`conf`	CBIR in Distributed Databases using a Multi-Agent System. ICIP David Picard, Matthieu Cord, Arnaud Revel
2006	—	`conf`	Performances of Mobile-Agents for Interactive Image Retrieval. Web Intelligence David Picard, Matthieu Cord