CBIR in Distributed Databases using a Multi-Agent System. - David Picard; Matthieu Cord; Arnaud Revel (ICIP, 2006)

Performances of Mobile-Agents for Interactive Image Retrieval. - David Picard; Matthieu Cord (Web Intelligence, 2006)

Image retrieval over networks: Ant algorithm for long term active learning. - David Picard; Arnaud Revel; Matthieu Cord (CBMI, 2008)

Long term learning for image retrieval over networks. - David Picard; Arnaud Revel; Matthieu Cord (ICIP, 2008)

Image Retrieval Over Networks: Active Learning Using Ant Algorithm. - David Picard; Matthieu Cord; Arnaud Revel (IEEE Trans. Multim., 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 (2008)

Geometric consistency checking for local-descriptor based document retrieval. - Eduardo Valle; David Picard; Matthieu Cord (ACM Symposium on Document Engineering, 2009)

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

Improving image similarity with vectors of locally aggregated tensors. - David Picard; Philippe Henri Gosselin (ICIP, 2011)

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

Compact tensor based image representation for similarity search. - Romain Negrel; David Picard; Philippe Henri Gosselin (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)

Using spatial pyramids with compacted VLAT for image categorization. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICPR, 2012)

An application of swarm intelligence to distributed image retrieval. - David Picard; Arnaud Revel; Matthieu Cord (Inf. Sci., 2012)

Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval. - Hedi Tabia; David Picard; Hamid Laga; Philippe Henri Gosselin (3DOR@Eurographics, 2013)

Fast Approximation of Distance Between Elastic Curves using Kernels. - Hedi Tabia; David Picard; Hamid Laga; Philippe Henri Gosselin (BMVC, 2013)

Machine Learning and Content-Based Multimedia Retrieval. - Philippe Henri Gosselin; David Picard (ESANN, 2013)

Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets. - Jérôme Fellus; David Picard; Philippe Henri Gosselin (ICDM Workshops, 2013)

Multi-criteria search algorithm: An efficient approximate k-NN algorithm for image retrieval. - Mehdi Badr; Dan Vodislav; David Picard; Shaoyi Yin; Philippe Henri Gosselin (ICIP, 2013)

A unified formalism for video descriptors. - Olivier Kihl; David Picard; Philippe Henri Gosselin (ICIP, 2013)

3D shape similarity using vectors of locally aggregated tensors. - Hedi Tabia; David Picard; Hamid Laga; Philippe Henri Gosselin (ICIP, 2013)

Local polynomial space-time descriptors for actions classification. - Olivier Kihl; David Picard; Philippe Henri Gosselin (MVA, 2013)

IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. - Nicolas Ballas; Benjamin Labbé; Hervé Le Borgne; Philippe Gosselin; David Picard; Miriam Redi; Bernard Mérialdo; Iván González-Díaz 001; Boris Mansencal; Jenny Benois-Pineau; Stéphane Ayache; Abdelkader Hamadi; et al. (TRECVID, 2013)

Efficient image signatures and similarities using tensor products of local descriptors. - David Picard; Philippe Henri Gosselin (Comput. Vis. Image Underst., 2013)

Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors. - Romain Negrel; David Picard; Philippe Henri Gosselin (IEEE Multim., 2013)

JKernelMachines: a simple framework for kernel machine. - David Picard; Nicolas Thome; Matthieu Cord (J. Mach. Learn. Res., 2013)

Second order model deviations of local Gabor features for texture classification. - David Picard; Inbar Fijalkow (ACSSC, 2014)

Evaluation of second-order visual features for land-use classification. - Romain Negrel; David Picard; Philippe Henri Gosselin (CBMI, 2014)

Covariance Descriptors for 3D Shape Matching and Retrieval. - Hedi Tabia; Hamid Laga; David Picard; Philippe Henri Gosselin (CVPR, 2014)

Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. - Jérôme Fellus; David Picard; Philippe Henri Gosselin (ESANN, 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)

Dimensionality reduction of visual features using sparse projectors for content-based image retrieval. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICIP, 2014)

Photographic paper texture classification using model deviation of local visual descriptors. - David Picard; Ngoc-Son Vu; Inbar Fijalkow (ICIP, 2014)

Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICPR, 2014)

IRIM at TRECVID 2014: Semantic Indexing and Instance Search. - 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; et al. (TRECVID, 2014)

Asynchronous decentralized convex optimization through short-term gradient averaging. - Jérôme Fellus; David Picard; Philippe-Henri Gosselin (ESANN, 2015)

On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion. - Nicolas Cazin; Aymeric Histace; David Picard; Benoit Gaudou (PAAMS (Workshops), 2015)

IRIM at TRECVID 2015: Semantic Indexing. - 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; et al. (TRECVID, 2015)

Asynchronous gossip principal components analysis. - Jérôme Fellus; David Picard; Philippe Henri Gosselin (Neurocomputing, 2015)

A unified framework for local visual descriptors evaluation. - Olivier Kihl; David Picard; Philippe Henri Gosselin (Pattern Recognit., 2015)

Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active learning with applications to text classification. - David Picard; Philippe Henri Gosselin; Marie-Claude Gaspard (IEEE Signal Process. Mag., 2015)

Indexation multimédia par dictionnaires visuels en environnement décentralisé. Une approche par protocoles Gossip. - Jérôme Fellus; David Picard; Philippe-Henri Gosselin (Traitement du Signal, 2015)

Wove paper analysis through texture similarities. - Patrice Abry; Andrew G. Klein; Paul Messier; Stéphane G. Roux; Margaret Holben Ellis; William A. Sethares; David Picard; Yuanhao Zhai 002; David L. Neuhoff; Herwig Wendt; Stéphane Jaffard; C. Richard Johnson Jr. (ACSSC, 2016)

Non-negative dictionary learning for paper watermark similarity. - David Picard; Thomas Henn; Georg Dietz (ACSSC, 2016)

Preserving local spatial information in image similarity using tensor aggregation of local features. - David Picard (ICIP, 2016)

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

Local polynomial space-time descriptors for action classification. - Olivier Kihl; David Picard; Philippe Henri Gosselin (Mach. Vis. Appl., 2016)

Contributions à l'apprentissage de représentations pour l'indexation basée sur le contenu visuel. - David Picard (2017)

Very Fast Kernel SVM under Budget Constraints. - David Picard (CoRR, 2017)

Special Section Guest Editorial: Image Processing for Cultural Heritage. - Aladine Chetouani; Robert Erdmann; David Picard; Filippo Stanco (J. Electronic Imaging, 2017)

Learning features combination for human action recognition from skeleton sequences. - Diogo Carbonera Luvizon; Hedi Tabia; David Picard (Pattern Recognit. Lett., 2017)

2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning. - Diogo C. Luvizon; David Picard; Hedi Tabia (CVPR, 2018)

Image Reassembly Combining Deep Learning and Shortest Path Problem. - Marie-Morgane Paumard; David Picard; Hedi Tabia (ECCV (6), 2018)

Images and Recipes: Retrieval in the Cooking Context. - Micael Carvalho; Rémi Cadène; David Picard; Laure Soulier; Matthieu Cord (ICDE Workshops, 2018)

Leveraging Implicit Spatial Information in Global Features for Image Retrieval. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICIP, 2018)

Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. - Marie-Morgane Paumard; David Picard; Hedi Tabia (ICIP, 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)

Images & Recipes: Retrieval in the cooking context. - Micael Carvalho; Rémi Cadène; David Picard; Laure Soulier; Matthieu Cord (CoRR, 2018)

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICCV, 2019)

Efficient Codebook and Factorization for Second Order Representation Learning. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICIP, 2019)

Human pose regression by combining indirect part detection and contextual information. - Diogo C. Luvizon; Hedi Tabia; David Picard (Comput. Graph., 2019)

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

Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization. - Marie-Morgane Paumard; David Picard; Hedi Tabia (CoRR, 2020)

Improving Deep Metric Learning with Virtual Classes and Examples Mining. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (CoRR, 2020)

DIABLO: Dictionary-based attention block for deep metric learning. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (Pattern Recognit. Lett., 2020)

Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization. - Marie-Morgane Paumard; David Picard; Hedi Tabia (IEEE Trans. Image Process., 2020)

Apprentissage non supervisé de représentations de mots à l'aide de réseaux de convolution bilinéaires sur des caractères. - Thomas Luka; Laure Soulier; David Picard (CORIA, 2021)

Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. - Thomas Luka; Laure Soulier; David Picard (ESANN, 2021)

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (ICCV, 2021)

Image Collation: Matching Illustrations in Manuscripts. - Ryad Kaoua; Xi Shen 001; Alexandra Durr; Stavros Lazaris; David Picard; Mathieu Aubry (ICDAR (4), 2021)

Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving. - Victor Besnier; David Picard; Alexandre Briot (ICIP, 2021)

Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems. - Arsenia Chorti; David Picard (CoRR, 2021)

Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision. - David Picard (CoRR, 2021)

Non asymptotic bounds in asynchronous sum-weight gossip protocols. - David Picard; Jérôme Fellus; Stéphane Garnier (CoRR, 2021)

Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. - Diogo C. Luvizon; David Picard; Hedi Tabia (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting. - Yue Zhu; David Picard (ACCV (4), 2022)

SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation. - Nicolas Dufour; David Picard; Vicky Kalogeiton (ECCV (14), 2022)

Improving Deep Metric Learning with Virtual Classes and Examples Mining. - Pierre Jacob; David Picard; Aymeric Histace (ICIP, 2022)

Latent reweighting, an almost free improvement for GANs. - Thibaut Issenhuth; Ugo Tanielian; David Picard; Jérémie Mary (WACV, 2022)

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (CoRR, 2022)

Optimal precision for GANs. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (CoRR, 2022)

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoRR, 2022)

Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? - Monika Wysoczanska; Tom Monnier; Tomasz Trzcinski; David Picard (CoRR, 2022)

Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates. - Diogo C. Luvizon; David Picard; Hedi Tabia (Int. J. Comput. Vis., 2022)

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoLLAs, 2023)

H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. - Yue Zhu; Nermin Samet; David Picard (ICCV, 2023)

Unveiling the Latent Space Geometry of Push-Forward Generative Models. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (ICML, 2023)

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Hugo Schindler; David Picard; Bertrand Delezoide (WACV, 2023)

Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search. - Marie-Morgane Paumard; Hedi Tabia; David Picard (CoRR, 2023)

Weakly-Supervised Conditional Embedding for Referred Visual Search. - Simon Lepage; Jérémie Mary; David Picard (CoRR, 2023)

Image Compression using only Attention based Neural Networks. - Natacha Luka; Romain Negrel; David Picard (CoRR, 2023)

EdiBERT: a generative model for image editing. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (Trans. Mach. Learn. Res., 2023)

SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression. - Diogo Carbonera Luvizon; Hedi Tabia; David Picard (Pattern Recognit., 2023)

Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion. - Nicolas Dufour; Victor Besnier; Vicky Kalogeiton; David Picard (CVPR, 2024)

PAFUSE: Part-Based Diffusion for 3D Whole-Body Pose Estimation. - Nermin Samet; Cédric Rommel; David Picard; Eduardo Valle (ECCV Workshops (13), 2024)

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Michaël Soumm; Eva Feillet; Adrian Popescu 001; Bertrand Delezoide; David Picard; Céline Hudelot (WACV, 2024)

Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? - Monika Wysoczanska; Tom Monnier; Tomasz Trzcinski; David Picard (IEEE Access, 2024)

Multiple Locally Linear Kernel Machines. - David Picard (CoRR, 2024)

PoM: Efficient Image and Video Generation with the Polynomial Mixer. - David Picard; Nicolas Dufour (CoRR, 2024)

Analysis of Classifier-Free Guidance Weight Schedulers. - Xi Wang 024; Nicolas Dufour; Nefeli Andreou; Marie-Paule Cani; Victoria Fernández Abrevaya; David Picard; Vicky Kalogeiton (Trans. Mach. Learn. Res., 2024)

Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. - Nicolas Dufour; Vicky Kalogeiton; David Picard; Loïc Landrieu (CVPR, 2025)

How far can we go with ImageNet for Text-to-Image generation? - L. Degeorge; A. Ghosh; Nicolas Dufour; David Picard; Vicky Kalogeiton (CoRR, 2025)