David Picard Directeur de recherche, LIGM, École des Ponts

Présentation

Publications

Article dans une revue (18)

A deep learning-based pipeline for the conservation assessment of bindings in archives and libraries Valérie Lee-Gouet,Lahcen Yamoun,Zacharie Rodière,Camille Simon Chane,Michel Jordanet al. Multimedia Tools and Applications, 2025, ⟨10.1007/s11042-025-20615-6⟩ Article dans une revue hal-04904596v1
Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? Monika Wysoczańska,Tom Monnier,Tomasz Trzciński,David Picard IEEE Access, 2024, 12, pp.76367-76378. ⟨10.1109/ACCESS.2024.3406261⟩ Article dans une revue hal-05427412v1
Analysis of Classifier-Free Guidance Weight Schedulers Xi Wang,Nicolas Dufour,Nefeli Andreou,Marie-Paule Cani,Victoria Fernández Abrevayaet al. Transactions on Machine Learning Research Journal, 2024, ⟨10.48550/arXiv.2404.13040⟩ Article dans une revue hal-04823146v1
SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression Diogo Carbonera Luvizon,Hedi Tabia,David Picard Pattern Recognition, 2023, 142, pp.109714. ⟨10.1016/j.patcog.2023.109714⟩ Article dans une revue hal-04124371v1
Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates Diogo Luvizon,David Picard,Hedi Tabia International Journal of Computer Vision, 2022, 130, pp.869-882. ⟨10.1007/s11263-021-01570-9⟩ Article dans une revue hal-03570650v1
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition Diogo C Luvizon,David Picard,Hedi Tabia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43 (8), pp.2752--2764. ⟨10.1109/TPAMI.2020.2976014⟩ Article dans une revue hal-02558843v1
Distributed Optimization for Deep Learning with Gossip Exchange Michael Blot,David Picard,Nicolas Thome,Matthieu Cord Neurocomputing, 2019, 330, pp.287-296. ⟨10.1016/j.neucom.2018.11.002⟩ Article dans une revue hal-01930346v1
Learning features combination for human action recognition from skeleton sequences Diogo Carbonera Luvizon,Hedi Tabia,David Picard Pattern Recognition Letters, 2017, 99, pp.13-20. ⟨10.1016/j.patrec.2017.02.001⟩ Article dans une revue hal-01515376v1
A Unified framework for local visual descriptors evaluation Olivier Kihl,David Picard,Philippe-Henri Gosselin Pattern Recognition, 2015, 48, pp.1170-1180. ⟨10.1016/j.patcog.2014.11.013⟩ Article dans une revue hal-01089310v1
Asynchronous gossip principal components analysis Jerome Fellus,David Picard,Philippe-Henri Gosselin Neurocomputing, 2015, pp.0. ⟨10.1016/j.neucom.2014.11.076⟩ Article dans une revue hal-01148639v1
Challenges in Content-Based Image Indexing of Cultural Heritage Collections David Picard,Philippe-Henri Gosselin,Marie-Claude Gaspard IEEE Signal Processing Magazine, 2015, 32 (4), pp.95 - 102. ⟨10.1109/MSP.2015.2409557⟩ Article dans une revue hal-01164409v1
Local polynomial space–time descriptors for action classification Olivier Kihl,David Picard,Philippe-Henri Gosselin Machine Vision and Applications, 2014, pp.1-11. ⟨10.1007/s00138-014-0652-z⟩ Article dans une revue hal-01097536v1
Efficient image signatures and similarities using tensor products of local descriptors David Picard,Philippe-Henri Gosselin Computer Vision and Image Understanding, 2013, 117 (6), pp.680-687. ⟨10.1016/j.cviu.2013.02.004⟩ Article dans une revue hal-00799074v1
JKernelMachines: A Simple Framework for Kernel Machines David Picard,Nicolas Thome,Matthieu Cord Journal of Machine Learning Research, 2013, 14, pp.1417-1421 Article dans une revue hal-00832030v1
Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval Hedi Tabia,David Picard,Hamid Laga,Philippe-Henri Gosselin Eurographics Workshop on 3D Object Retrieval, 2013, ⟨10.2312/3DOR/3DOR13/017-024⟩ Article dans une revue hal-02979432v1
Web scale image retrieval using compact tensor aggregation of visual descriptors Romain Negrel,David Picard,Philippe-Henri Gosselin IEEE MultiMedia, 2013, 20 (3), pp.24-33. ⟨10.1109/MMUL.2013.14⟩ Article dans une revue hal-00832760v1
An Application of Swarm Intelligence to Distributed Image Retrieval David Picard,Arnaud Revel,Matthieu Cord Information Sciences, 2012, 192, pp.71-81. ⟨10.1016/j.ins.2010.03.003⟩ Article dans une revue istex hal-00656322v1
Image Retrieval over Networks : Active Learning using Ant Algorithm David Picard,Matthieu Cord,Arnaud Revel IEEE Transactions on Multimedia, 2008, 10 (7), pp.1356-1365. ⟨10.1109/TMM.2008.2004913⟩ Article dans une revue hal-00656363v1

Communication dans un congrès (55)

Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation Nicolas Dufour,David Picard,Vicky Kalogeiton,Loic Landrieu 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025, Nashville, United States. pp.23016-23026, ⟨10.1109/CVPR52734.2025.02143⟩ Communication dans un congrès hal-05427428v1
PAFUSE: Part-Based Diffusion for 3D Whole-Body Pose Estimation Nermin Samet,Cédric Rommel,David Picard,Eduardo Valle ECCV 2024 Workshops, 2024, Milan, Italy. pp.151-169, ⟨10.1007/978-3-031-91575-8_10⟩ Communication dans un congrès hal-05427433v1
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark Yue Zhu,Nermin Samet,David Picard 2023 IEEE/CVF International Conference on Computer Vision, Oct 2023, Paris, France. ⟨10.1109/ICCV51070.2023.01845⟩ Communication dans un congrès hal-04443304v1
Contraction d'une image en une petite séquence de tokens avec des modules d'attention croisée Natacha Luka,Romain Negrel,David Picard GRETSI'23 XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France Communication dans un congrès hal-04461280v1
Latent reweighting, an almost free improvement for GANs Thibaut Issenhuth,Ugo Tanielian,David Picard,Jeremie Mary 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2022, Waikoloa, United States. pp.3574-3583, ⟨10.1109/WACV51458.2022.00363⟩ Communication dans un congrès hal-03791961v1
Achievable Rates and Machine Learning Detection of Faster than Nyquist Spectrally Efficient FDM Arsenia Chorti,David Picard XXVIIIème Colloque Francophone de Traitement du Signal et des Images -GRETSI 2022, Sep 2022, Nancy, France Communication dans un congrès hal-04273917v1
Improving Deep Metric Learning With Virtual Classes And Examples Mining Pierre Jacob,David Picard,Aymeric Histace International Conference on Image Processing (IEEE ICIP), IEEE, Oct 2022, Bordeaux, France. ⟨10.1109/icip46576.2022.9897618⟩ Communication dans un congrès hal-03740481v1
Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters Thomas Luka,Laure Soulier,David Picard The 29th European Symposium on Artificial Neural Networks, Oct 2021, Online, Belgium. pp.251-256, ⟨10.14428/esann/2021.ES2021-38⟩ Communication dans un congrès hal-03479768v1
Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving Victor Besnier,David Picard,Alexandre Briot 2021 IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, United States. pp.3353-3357, ⟨10.1109/ICIP42928.2021.9506719⟩ Communication dans un congrès hal-03791973v1
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, Apr 2021, Grenoble (virtuel), France Communication dans un congrès hal-03309905v1
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier,Andrei Bursuc,David Picard,Alexandre Briot 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021, Montreal, France. pp.15681-15690, ⟨10.1109/ICCV48922.2021.01541⟩ Communication dans un congrès hal-03356564v1
Efficient Codebook and Factorization for Second Order Representation Learning Pierre Jacob,David Picard,Aymeric Histace,Edouard Klein International Conference on Image Processing, Sep 2019, Taïpei, Taiwan Communication dans un congrès hal-02139747v1
L'apprentissage profond pour le réassemblage d'images patrimoniales Marie-Morgane Paumard,David Picard,Hedi Tabia GRETSI 2019, Aug 2019, Lille, France Communication dans un congrès hal-02466564v1
Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob,David Picard,Aymeric Histace,Edouard Klein International Conference on Computer Vision, Oct 2019, Seoul, South Korea Communication dans un congrès hal-02309147v1
Multimodal Deep Neural Networks for Pose Estimation and Action Recognition Diogo C Luvizon,Hedi Tabia,David Picard Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2018), Jun 2018, Marne-la-Vallée, France Communication dans un congrès hal-01815707v1
Leveraging Implicit Spatial Information In Global Features For Image Retrieval Pierre Jacob,David Picard,Aymeric Histace,Edouard Klein IEEE International Conference in Image Processing, Oct 2018, Athens, Greece Communication dans un congrès hal-01816918v1
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning Diogo C Luvizon,David Picard,Hedi Tabia The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018, Salt Lake City, United States Communication dans un congrès hal-01815703v1
Image Reassembly Combining Deep Learning and Shortest Path Problem Marie-Morgane Paumard,David Picard,Hedi Tabia European Conference on Computer Vision (ECCV 2018), Sep 2018, Munich, Germany Communication dans un congrès hal-01869765v2
Jigsaw Puzzle Solving Using Local Feature Co-occurrences In Deep Neural Networks Marie-Morgane Paumard,David Picard,Hedi Tabia International Conference on Image Processing, Oct 2018, Athens, Greece Communication dans un congrès hal-01820489v2
Preserving local spatial information in image similarity using tensor aggregation of local features David Picard 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. pp.201-205, ⟨10.1109/ICIP.2016.7532347⟩ Communication dans un congrès hal-01359109v1
Non-negative dictionary learning for paper watermark similarity David Picard,Thomas Henn,Georg Dietz Asilomar Conference on Signals, Systems, and Computers, Nov 2016, Pacific Grove, United States Communication dans un congrès hal-01408807v1
Asynchronous decentralized convex optimization through short-term gradient averaging Jerome Fellus,David Picard,Philippe-Henri Gosselin European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2015, Bruges, Belgium Communication dans un congrès hal-01148648v1
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 International Conference on Practical Applications of Agents and Multi-Agent Systems, Jun 2015, Salamanque, Spain. pp.151-164 Communication dans un congrès hal-01127710v1
IRIM at TRECVID 2015: Semantic Indexing Hervé Le Borgne,Philippe Gosselin,David Picard,Miriam Redi,Bernard Mérialdoet al. Proceedings of TRECVid, Nov 2015, Gaithersburg, MD, United States Communication dans un congrès hal-01233398v1
Évaluation de descripteurs visuels pour l'annotation automatique d'images patrimoniales David Picard,Philippe-Henri Gosselin Gretsi 2015, Sep 2015, Lyon, France Communication dans un congrès hal-01277486v1
IRIM at TRECVID 2014: Semantic Indexing and Instance Search Nicolas Ballas,Benjamin Labbé,Hervé Le Borgne,Philippe Gosselin,David Picardet al. Proceedings of TRECVID, Nov 2014, Orlando, United States Communication dans un congrès hal-01132491v1
PHOTOGRAPHIC PAPER TEXTURE CLASSIFICATION USING MODEL DEVIATION OF LOCAL VISUAL DESCRIPTORS David Picard,Ngoc-Son Vu,Inbar Fijalkow IEEE Int. Conf. on Image Processing, Oct 2014, Paris, France, France. 5 p Communication dans un congrès hal-01063123v1
Second order model deviations of local Gabor features for texture classification David Picard,Inbar Fijalkow Signals, Systems and Computers, 2014 48th Asilomar Conference on, Nov 2014, Pacific Grove, CA, United States. pp.917-920, ⟨10.1109/ACSSC.2014.7094586⟩ Communication dans un congrès hal-01151327v1
Evaluation of Second-order Visual Features for Land-Use Classification Romain Negrel,David Picard,Philippe-Henri Gosselin 12th International Workshop on Content-Based Multimedia Indexing, Jun 2014, France. 5 p Communication dans un congrès hal-01022971v1
Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers Jérôme Fellus,David Picard,Philippe-Henri Gosselin European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. pp.171-176 Communication dans un congrès hal-00985721v1
Covariance Descriptors for 3D Shape Matching and Retrieval Hedi Tabia,Hamid Laga,David Picard,Philippe-Henri Gosselin IEEE Conference on Computer Vsion and Pattern Recognition, Jun 2014, Columbus, Ohio, United States. 8 p Communication dans un congrès hal-01022970v1
DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL Romain Negrel,David Picard,Philippe-Henri Gosselin IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2192-2196 Communication dans un congrès hal-01081770v1
Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate Retrieval Romain Negrel,David Picard,Philippe-Henri Gosselin IAPR International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. 6 p Communication dans un congrès hal-01064050v1
Local polynomial space-time descriptors for actions classification Olivier Kihl,David Picard,Philippe-Henri Gosselin International Conference on Machine Vision Applications, May 2013, Kyoto, Japan Communication dans un congrès hal-00807493v1
Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval Hedi Tabia,David Picard,Hamid Laga,Philippe-Henri Gosselin Eurographics Workshop on 3D Object Retrieval, May 2013, Girona, Spain Communication dans un congrès hal-00807501v1
Machine Learning and Content-Based Multimedia Retrieval Philippe-Henri Gosselin,David Picard European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.251-260 Communication dans un congrès hal-00864824v1
Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval Mehdi Badr,Dan Vodislav,David Picard,Philippe-Henri Gosselin,Shaoyi Yin 2013 IEEE International Conference on Image Processing (ICIP 2013), Sep 2013, Melbourne, Australia. pp.2901-2905, ⟨10.1109/ICIP.2013.6738597⟩ Communication dans un congrès hal-00832196v2
Joint MAS-PDE Modeling of Forest Pest Insect Dynamics: Analysis of the Bark Beetle's Behavior David Picard,Aymeric Histace,Marie-Charlotte Desseroit VISIGRAPP (Workshop GEODIFF), Feb 2013, Barcelone, Spain. pp.29-38 Communication dans un congrès hal-00784160v1
Decentralized K-means using randomized Gossip protocols for clustering large datasets Jérôme Fellus,David Picard,Philippe-Henri Gosselin International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms, Dec 2013, Dallas, Texas, United States. pp.8 Communication dans un congrès hal-00915822v1
A Unified Formalism for Video Descriptors Olivier Kihl,David Picard,Philippe-Henri Gosselin IEEE Int. Conf. on Image Processing ICIP2013, Sep 2013, Melbourne, Australia. pp.2416-2419 Communication dans un congrès hal-00832190v2
Fast Approximation of Distance Between Elastic Curves using Kernels Hedi Tabia,David Picard,Hamid Laga,Philippe-Henri Gosselin British Machine Vision Conference, Sep 2013, United Kingdom. pp.11 Communication dans un congrès hal-00861369v1
3D Shape Similarity Using Vectors of Locally Aggregated Tensors Hedi Tabia,David Picard,Hamid Laga,Philippe-Henri Gosselin IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2694-2698 Communication dans un congrès hal-00832182v1
Calcul décentralisé de dictionnaires visuels pour l'indexation multimédia dans les bases de données réparties sur les réseaux Jérôme Fellus,David Picard,Philippe-Henri Gosselin ORASIS : Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France Communication dans un congrès hal-00807486v1
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context Corina Iovan,David Picard,Nicolas Thome,Matthieu Cord Machine Learning and Applications (ICMLA), 2012 11th International Conference on, Dec 2012, Boca Raton, Florida, United States. pp.339--344 Communication dans un congrès hal-00794980v1
Compact Tensor Based Image Representation for Similarity Search Romain Negrel,David Picard,Philippe-Henri Gosselin IEEE International Conference on Image Processing, Sep 2012, Orlando, United States Communication dans un congrès hal-00753157v1
Using Spatial Pyramids with Compacted VLAT for Image Categorization Romain Negrel,David Picard,Philippe-Henri Gosselin International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan Communication dans un congrès hal-00753158v1
Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm David Picard,Nicolas Thome,Matthieu Cord,Alain Rakotomamonjy 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. pp.79-84 Communication dans un congrès hal-00705374v1
Improving Image Similarity With Vectors of Locally Aggregated Tensors David Picard,Philippe-Henri Gosselin 2011 IEEE International Conference on Image Processing (IEEE ICIP2011), Sep 2011, Brussels, Belgium. pp.669 - 672, ⟨10.1109/ICIP.2011.6116641⟩ Communication dans un congrès hal-00591993v1
An efficient System for combining complementary kernels in complex visual categorization tasks David Picard,Nicolas Thome,Matthieu Cord ICIP 2010 - 17th IEEE International Conference on Image Processing, Sep 2010, Hong Kong, Hong Kong SAR China. pp.3877-3880, ⟨10.1109/ICIP.2010.5651051⟩ Communication dans un congrès hal-00656365v1
Geometric Consistency Checking for Local-Descriptor Based Document Retrieval Eduardo Valle,David Picard,Matthieu Cord 9th ACM symposium on Document engineering (DocEng '09), Sep 2009, Munich, Germany. pp.135-138, ⟨10.1145/1600193.1600224⟩ Communication dans un congrès hal-00656434v1
Study of sift descriptors for image matching based localization in urban street view context David Picard,Matthieu Cord,Eduardo Valle ISPRS workshop CMRT'09. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Sep 2009, Paris, France. pp.193-198 Communication dans un congrès hal-01298815v1
Long Term Learning for Image Retrieval over Networks David Picard,Arnaud Revel,Matthieu Cord ICIP'08 - 15th IEEE International Conference on Image Processing, Oct 2008, San Diego, CA, United States. pp.929-932, ⟨10.1109/ICIP.2008.4711908⟩ Communication dans un congrès hal-00448953v1
Performances of mobile-agents for interactive image retrieval David Picard,Arnaud Revel,Matthieu Cord Web Intelligence Conference, Dec 2006, Hong Kong, Hong Kong SAR China. pp.581-586, ⟨10.1109/WI.2006.129⟩ Communication dans un congrès hal-00449294v1
Cbir in distributed databases using a multi-agent system. David Picard,Matthieu Cord,Arnaud Revel International Conference on Image Processing, 2006, France. pp.3205-3208 Communication dans un congrès hal-00449299v1
Ant-like mobile agents for Content-Based Image Retrieval in distributed databases Arnaud Revel,David Picard,Matthieu Cord Workshop on Machine Learning Techniques for Processing Multimedia Content, 2005, France. pp.Demo Communication dans un congrès hal-00449320v1

Thèse (1)

Recherche d'images sur un réseau à l'aide d'un système multi-agents David Picard Traitement du signal et de l'image [eess.SP]. Université de Cergy-Pontoise, 2008. Français. ⟨NNT : ⟩ Thèse tel-01089722v1

HDR (1)

Contributions à l’apprentissage de représentations pour l’indexation basée sur le contenu visuel David Picard Vision par ordinateur et reconnaissance de formes [cs.CV]. Université de Cergy-Pontoise, 2017 HDR tel-01661900v1