David Picard

发表

Geometric consistency checking for local-descriptor based document retrieval

Matthieu Cord, Eduardo Valle, David Picard, 2009, DocEng '09.

IRIM at TRECVID 2015: Semantic Indexing

Emmanuel Dellandréa, Patrick Lambert, Liming Chen, 2015, TRECVID.

Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval

David Picard, Romain Negrel, Philippe Henri Gosselin, 2014, 2014 22nd International Conference on Pattern Recognition.

A unified framework for local visual descriptors evaluation

David Picard, Philippe Henri Gosselin, Olivier Kihl, 2015, Pattern Recognit..

Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

David Picard, Hedi Tabia, Diogo C Luvizon, 2020, IEEE transactions on pattern analysis and machine intelligence.

Image Reassembly Combining Deep Learning and Shortest Path Problem

David Picard, Hedi Tabia, Marie-Morgane Paumard, 2018, ECCV.

Very Fast Kernel SVM under Budget Constraints pdf

David Picard, David Picard, 2016, ArXiv.

Evaluation of second-order visual features for land-use classification

David Picard, Romain Negrel, Philippe Henri Gosselin, 2014, 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI).

Long term learning for image retrieval over networks

Matthieu Cord, David Picard, Arnaud Revel, 2008, 2008 15th IEEE International Conference on Image Processing.

Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers

David Picard, Philippe Henri Gosselin, Jérôme Fellus, 2014, ESANN.

Human Pose Regression by Combining Indirect Part Detection and Contextual Information pdf

David Picard, Hedi Tabia, Diogo C. Luvizon, 2017, Comput. Graph..

2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning

David Picard, Hedi Tabia, Diogo C. Luvizon, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Improving Deep Metric Learning with Virtual Classes and Examples Mining pdf

David Picard, Pierre Jacob, Edouard Klein, 2020, 2022 IEEE International Conference on Image Processing (ICIP).

A unified formalism for video descriptors

David Picard, Philippe Henri Gosselin, Olivier Kihl, 2013, 2013 IEEE International Conference on Image Processing.

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.

Image retrieval over networks: Ant algorithm for long term active learning

Matthieu Cord, David Picard, Arnaud Revel, 2008, 2008 International Workshop on Content-Based Multimedia Indexing.

Covariance Descriptors for 3D Shape Matching and Retrieval

Hamid Laga, David Picard, Philippe Henri Gosselin, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Preserving local spatial information in image similarity using tensor aggregation of local features

David Picard, David Picard, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Local polynomial space–time descriptors for action classification

David Picard, Philippe Henri Gosselin, Olivier Kihl, 2016, Machine Vision and Applications.

JKernelMachines: a simple framework for kernel machine

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

Second order model deviations of local Gabor features for texture classification

Inbar Fijalkow, David Picard, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Multi-criteria search algorithm: An efficient approximate k-NN algorithm for image retrieval

David Picard, Philippe Henri Gosselin, Dan Vodislav, 2013, 2013 IEEE International Conference on Image Processing.

Leveraging Implicit Spatial Information in Global Features for Image Retrieval

Aymeric Histace, David Picard, Pierre Jacob, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Improving image similarity with vectors of locally aggregated tensors

David Picard, Philippe Henri Gosselin, P. Gosselin, 2011, 2011 18th IEEE International Conference on Image Processing.

Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates pdf

David Picard, Hedi Tabia, Diogo C Luvizon, 2019, ArXiv.

Images & Recipes: Retrieval in the cooking context pdf

Matthieu Cord, Laure Soulier, David Picard, 2018, ArXiv.

Asynchronous gossip principal components analysis

David Picard, Philippe Henri Gosselin, Jérôme Fellus, 2015, Neurocomputing.

Semantic pooling for image categorization using multiple kernel learning

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

Indexation multimédia par dictionnaires visuels en environnement décentralisé. Une approche par protocoles Gossip

David Picard, Jérôme Fellus, Philippe-Henri Gosselin, 2015, Traitement du Signal.

Study of sift descriptors for image matching based localization in urban street view context

Matthieu Cord, Eduardo Valle, David Picard, 2009 .

Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval

Hamid Laga, David Picard, Philippe Henri Gosselin, 2013, 3DOR@Eurographics.

Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks

David Picard, Hedi Tabia, Marie-Morgane Paumard, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Using spatial pyramids with compacted VLAT for image categorization

David Picard, Romain Negrel, Philippe Henri Gosselin, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange

Matthieu Cord, David Picard, Michael Blot, 2018, Neurocomputing.

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

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

Multimodal Deep Neural Networks for Pose Estimation and Action Recognition

David Picard, Hedi Tabia, Diogo C. Luvizon, 2018 .

DIABLO: Dictionary-based Attention Block for Deep Metric Learning

David Picard, Pierre Jacob, Edouard Klein, 2020, Pattern Recognit. Lett..

Efficient image signatures and similarities using tensor products of local descriptors

David Picard, Philippe Henri Gosselin, P. Gosselin, 2013, Comput. Vis. Image Underst..

CBIR in Distributed Databases using a Multi-Agent System

Matthieu Cord, David Picard, Arnaud Revel, 2006, 2006 International Conference on Image Processing.

Asynchronous decentralized convex optimization through short-term gradient averaging

David Picard, Jérôme Fellus, Philippe-Henri Gosselin, 2015, ESANN.

Wove paper analysis through texture similarities

Andrew G. Klein, William A. Sethares, David L. Neuhoff, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Machine Learning and Content-Based Multimedia Retrieval

David Picard, Philippe Henri Gosselin, 2013, ESANN.

Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization

David Picard, Hedi Tabia, Marie-Morgane Paumard, 2020, IEEE Transactions on Image Processing.

Contributions à l'apprentissage de représentations pour l'indexation basée sur le contenu visuel

David Picard, D. Picard, 2017 .

On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion

Benoit Gaudou, Aymeric Histace, David Picard, 2015, PAAMS.

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

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

Learning features combination for human action recognition from skeleton sequences

David Picard, Hedi Tabia, Diogo Carbonera Luvizon, 2017, Pattern Recognit. Lett..

Photographic paper texture classification using model deviation of local visual descriptors

Inbar Fijalkow, David Picard, Ngoc-Son Vu, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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).

Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors

David Picard, Romain Negrel, Philippe Henri Gosselin, 2013, IEEE MultiMedia.

Hamid Laga, David Picard, Philippe Henri Gosselin, 2013, 2013 IEEE International Conference on Image Processing.

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.

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, D. Picard, 2008 .

Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets

David Picard, Philippe Henri Gosselin, Jérôme Fellus, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Non-negative dictionary learning for paper watermark similarity

David Picard, Thomas Henn, Georg Dietz, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Images and Recipes: Retrieval in the Cooking Context

Matthieu Cord, Laure Soulier, David Picard, 2018, 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW).

Performances of Mobile-Agents for Interactive Image Retrieval

Matthieu Cord, David Picard, David Picard, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Compact tensor based image representation for similarity search

David Picard, Romain Negrel, Philippe Henri Gosselin, 2012, 2012 19th IEEE International Conference on Image Processing.

Gossip training for deep learning pdf

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

Challenges in Content-Based Image Indexing of Cultural Heritage Collections

David Picard, Philippe Henri Gosselin, Marie-Claude Gaspard, 2015, IEEE Signal Processing Magazine.

Simulation‐based estimates of safety distances for pipeline transportation of carbon dioxide

David Picard, Curtis M. Oldenburg, Alberto Mazzoldi, 2013 .

An application of swarm intelligence to distributed image retrieval

Matthieu Cord, David Picard, Arnaud Revel, 2012, Inf. Sci..

Dimensionality reduction of visual features using sparse projectors for content-based image retrieval

David Picard, Romain Negrel, Philippe Henri Gosselin, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Efficient Codebook and Factorization for Second Order Representation Learning

Aymeric Histace, David Picard, Pierre Jacob, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Image Retrieval Over Networks: Active Learning Using Ant Algorithm

Matthieu Cord, David Picard, Arnaud Revel, 2008, IEEE Transactions on Multimedia.

SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression pdf

David Picard, Hedi Tabia, Diogo Luvizon, 2020, Pattern Recognit..

Ant-like mobile agents for Content-Based Image Retrieval in distributed databases

Matthieu Cord, David Picard, Arnaud Revel, 2005 .

Fast Approximation of Distance Between Elastic Curves using Kernels

Hamid Laga, David Picard, Philippe Henri Gosselin, 2013, BMVC.

Non asymptotic bounds in asynchronous sum-weight gossip protocols pdf

David Picard, J'erome Fellus, St'ephane Garnier, 2021, ArXiv.

Image Collation: Matching illustrations in manuscripts pdf

Mathieu Aubry, David Picard, Alexandra Durr, 2021, ICDAR.

Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters

Laure Soulier, David Picard, Thomas Luka, 2021, The European Symposium on Artificial Neural Networks.

Deep Learning Based Detection for Spectrally Efficient FDM Systems

David Picard, Arsenia Chorti, 2021 .

Latent reweighting, an almost free improvement for GANs pdf

David Picard, Ugo Tanielian, Thibaut Issenhuth, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision pdf

David Picard, David Picard, 2021, ArXiv.

Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems pdf

David Picard, Arsenia Chorti, 2021, ArXiv.

Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving pdf

David Picard, Alexandre Briot, Victor Besnier, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

EdiBERT, a generative model for image editing pdf

David Picard, Ugo Tanielian, Thibaut Issenhuth, 2021, ArXiv.

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation pdf

David Picard, Andrei Bursuc, Alexandre Briot, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Image Processing for Cultural Heritage

David Picard, Filippo Stanco, Aladine Chetouani, 2018 .