David Picard

According to our database, David Picard authored at least 96 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multiple Locally Linear Kernel Machines.

David Picard

CoRR, 2024

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression.

Diogo Carbonera Luvizon, Hedi Tabia, David Picard

Pattern Recognit., October, 2023

EdiBERT: a generative model for image editing.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Trans. Mach. Learn. Res., 2023

Image Compression using only Attention based Neural Networks.

Natacha Luka, Romain Negrel, David Picard

CoRR, 2023

Weakly-Supervised Conditional Embedding for Referred Visual Search.

Simon Lepage, Jérémie Mary, David Picard

CoRR, 2023

Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search.

Marie-Morgane Paumard, Hedi Tabia, David Picard

CoRR, 2023

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unveiling the Latent Space Geometry of Push-Forward Generative Models.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Proceedings of the International Conference on Machine Learning, 2023

H3WB: Human3.6M 3D WholeBody Dataset and Benchmark.

Yue Zhu, Nermin Samet, David Picard

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates.

Diogo C. Luvizon, David Picard, Hedi Tabia

Int. J. Comput. Vis., 2022

Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?

Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard

CoRR, 2022

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

CoRR, 2022

Optimal precision for GANs.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

CoRR, 2022

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation.

Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot

CoRR, 2022

Latent reweighting, an almost free improvement for GANs.

Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Improving Deep Metric Learning with Virtual Classes and Examples Mining.

Pierre Jacob, David Picard, Aymeric Histace

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation.

Nicolas Dufour, David Picard, Vicky Kalogeiton

Proceedings of the Computer Vision - ECCV 2022, 2022

Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting.

Yue Zhu, David Picard

Proceedings of the Computer Vision - ACCV 2022, 2022

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

Non asymptotic bounds in asynchronous sum-weight gossip protocols.

David Picard, Jérôme Fellus, Stéphane Garnier

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

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

Arsenia Chorti, David Picard

CoRR, 2021

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

Victor Besnier, David Picard, Alexandre Briot

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Image Collation: Matching Illustrations in Manuscripts.

Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

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

Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters.

Thomas Luka, Laure Soulier, David Picard

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Apprentissage non supervisé de représentations de mots à l'aide de réseaux de convolution bilinéaires sur des caractères.

Thomas Luka, Laure Soulier, David Picard

Proceedings of the COnférence en Recherche d'Informations et Applications, 2021

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

DIABLO: Dictionary-based attention block for deep metric learning.

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Pattern Recognit. Lett., 2020

Improving Deep Metric Learning with Virtual Classes and Examples Mining.

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

CoRR, 2020

Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization.

Marie-Morgane Paumard, David Picard, Hedi Tabia

CoRR, 2020

2019

Distributed optimization for deep learning with gossip exchange.

Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord

Neurocomputing, 2019

Human pose regression by combining indirect part detection and contextual information.

Diogo C. Luvizon, Hedi Tabia, David Picard

Comput. Graph., 2019

Efficient Codebook and Factorization for Second Order Representation Learning.

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings.

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Images & Recipes: Retrieval in the cooking context.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord

CoRR, 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

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

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

Marie-Morgane Paumard, David Picard, Hedi Tabia

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Leveraging Implicit Spatial Information in Global Features for Image Retrieval.

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Images and Recipes: Retrieval in the Cooking Context.

Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

Image Reassembly Combining Deep Learning and Shortest Path Problem.

Marie-Morgane Paumard, David Picard, Hedi Tabia

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Diogo C. Luvizon, David Picard, Hedi Tabia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning features combination for human action recognition from skeleton sequences.

Diogo Carbonera Luvizon, Hedi Tabia, David Picard

Pattern Recognit. Lett., 2017

Special Section Guest Editorial: Image Processing for Cultural Heritage.

Aladine Chetouani, Robert Erdmann, David Picard, Filippo Stanco

J. Electronic Imaging, 2017

Very Fast Kernel SVM under Budget Constraints.

David Picard

CoRR, 2017

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

David Picard

, 2017

2016

Local polynomial space-time descriptors for action classification.

Olivier Kihl, David Picard, Philippe Henri Gosselin

Mach. Vis. Appl., 2016

Gossip training for deep learning.

Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome

CoRR, 2016

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

David Picard

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Non-negative dictionary learning for paper watermark similarity.

David Picard, Thomas Henn, Georg Dietz

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

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, David L. Neuhoff, Herwig Wendt, Stéphane Jaffard, C. Richard Johnson Jr.

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

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

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

A unified framework for local visual descriptors evaluation.

Olivier Kihl, David Picard, Philippe Henri Gosselin

Pattern Recognit., 2015

Asynchronous gossip principal components analysis.

Jérôme Fellus, David Picard, Philippe Henri Gosselin

Neurocomputing, 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, Georges Quénot, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat

Proceedings of the 2015 TREC Video Retrieval Evaluation, 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

Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

Asynchronous decentralized convex optimization through short-term gradient averaging.

Jérôme Fellus, David Picard, Philippe-Henri Gosselin

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

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, 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

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

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

Romain Negrel, David Picard, Philippe Henri Gosselin

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Photographic paper texture classification using model deviation of local visual descriptors.

David Picard, Ngoc-Son Vu, Inbar Fijalkow

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

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

Romain Negrel, David Picard, Philippe Henri Gosselin

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Incremental learning of latent structural SVM for weakly supervised image classification.

Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Semantic pooling for image categorization using multiple kernel learning.

Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

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

Jérôme Fellus, David Picard, Philippe Henri Gosselin

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Covariance Descriptors for 3D Shape Matching and Retrieval.

Hedi Tabia, Hamid Laga, David Picard, Philippe Henri Gosselin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

Romain Negrel, David Picard, Philippe Henri Gosselin

Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Second order model deviations of local Gabor features for texture classification.

David Picard, Inbar Fijalkow

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

JKernelMachines: a simple framework for kernel machine.

David Picard, Nicolas Thome, Matthieu Cord

J. Mach. Learn. Res., 2013

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

Romain Negrel, David Picard, Philippe Henri Gosselin

IEEE Multim., 2013

Efficient image signatures and similarities using tensor products of local descriptors.

David Picard, Philippe Henri Gosselin

Comput. Vis. Image Underst., 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, 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

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Local polynomial space-time descriptors for actions classification.

Olivier Kihl, David Picard, Philippe Henri Gosselin

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

3D shape similarity using vectors of locally aggregated tensors.

Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin

Proceedings of the IEEE International Conference on Image Processing, 2013

A unified formalism for video descriptors.

Olivier Kihl, David Picard, Philippe Henri Gosselin

Proceedings of the IEEE International Conference on Image Processing, 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

Proceedings of the IEEE International Conference on Image Processing, 2013

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

Jérôme Fellus, David Picard, Philippe Henri Gosselin

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Machine Learning and Content-Based Multimedia Retrieval.

Philippe Henri Gosselin, David Picard

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Fast Approximation of Distance Between Elastic Curves using Kernels.

Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin

Proceedings of the British Machine Vision Conference, 2013

Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval.

Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin

Proceedings of the 6th Eurographics Workshop on 3D Object Retrieval, 2013

2012

An application of swarm intelligence to distributed image retrieval.

David Picard, Arnaud Revel, Matthieu Cord

Inf. Sci., 2012

Using spatial pyramids with compacted VLAT for image categorization.

Romain Negrel, David Picard, Philippe Henri Gosselin

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context.

Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Compact tensor based image representation for similarity search.

Romain Negrel, David Picard, Philippe Henri Gosselin

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

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

David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Improving image similarity with vectors of locally aggregated tensors.

David Picard, Philippe Henri Gosselin

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

An efficient system for combining complementary kernels in complex visual categorization tasks.

David Picard, Nicolas Thome, Matthieu Cord

Proceedings of the International Conference on Image Processing, 2010

2009

Geometric consistency checking for local-descriptor based document retrieval.

Eduardo Valle, David Picard, Matthieu Cord

Proceedings of the 2009 ACM Symposium on Document Engineering, 2009

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

PhD thesis, 2008

Image Retrieval Over Networks: Active Learning Using Ant Algorithm.

David Picard, Matthieu Cord, Arnaud Revel

IEEE Trans. Multim., 2008

Long term learning for image retrieval over networks.

David Picard, Arnaud Revel, Matthieu Cord

Proceedings of the International Conference on Image Processing, 2008

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

David Picard, Arnaud Revel, Matthieu Cord

Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2006

Performances of Mobile-Agents for Interactive Image Retrieval.

David Picard, Matthieu Cord

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

CBIR in Distributed Databases using a Multi-Agent System.

David Picard, Matthieu Cord, Arnaud Revel

Proceedings of the International Conference on Image Processing, 2006