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ORCIDDavid Picard
Person information
- affiliation: École des ponts ParisTech (ENPC), LIGM, Champs-sur-Marne, France
- affiliation (PhD): Cergy-Pontoise University, France
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2020 – today
- 2024
[j21]Monika Wysoczanska
, Tom Monnier, Tomasz Trzcinski, David Picard:
Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? IEEE Access 12: 76367-76378 (2024)- [c59]Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard:
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion. CVPR 2024: 6264-6273 - [c58]Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot:
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. WACV 2024: 1826-1836 - [i41]David Picard:
Multiple Locally Linear Kernel Machines. CoRR abs/2401.09629 (2024) - [i40]Xi Wang, Nicolas Dufour, Nefeli Andreou, Marie-Paule Cani, Victoria Fernández Abrevaya, David Picard, Vicky Kalogeiton:
Analysis of Classifier-Free Guidance Weight Schedulers. CoRR abs/2404.13040 (2024) - [i39]Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard:
Don't drop your samples! Coherence-aware training benefits Conditional diffusion. CoRR abs/2405.20324 (2024) - [i38]Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle:
PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation. CoRR abs/2407.10220 (2024) - 2023
- [j20]Diogo Carbonera Luvizon, Hedi Tabia, David Picard:
SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression. Pattern Recognit. 142: 109714 (2023) - [j19]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. 2023 (2023) - [c57]Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide:
PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. CoLLAs 2023: 399-414 - [c56]Yue Zhu, Nermin Samet, David Picard:
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. ICCV 2023: 20109-20120 - [c55]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML 2023: 14422-14444 - [c54]Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide:
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. WACV 2023: 3900-3909 - [i37]Marie-Morgane Paumard, Hedi Tabia, David Picard:
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search. CoRR abs/2302.00384 (2023) - [i36]Simon Lepage, Jérémie Mary, David Picard:
Weakly-Supervised Conditional Embedding for Referred Visual Search. CoRR abs/2306.02928 (2023) - [i35]Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot:
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. CoRR abs/2308.11677 (2023) - [i34]Natacha Luka, Romain Negrel, David Picard:
Image Compression using only Attention based Neural Networks. CoRR abs/2310.11265 (2023) - 2022
- [j18]Diogo C. Luvizon, David Picard, Hedi Tabia:
Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates. Int. J. Comput. Vis. 130(3): 869-882 (2022) - [c53]Yue Zhu, David Picard:
Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Lifting. ACCV (4) 2022: 257-274 - [c52]Nicolas Dufour, David Picard, Vicky Kalogeiton:
SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation. ECCV (14) 2022: 713-729 - [c51]Pierre Jacob, David Picard, Aymeric Histace:
Improving Deep Metric Learning with Virtual Classes and Examples Mining. ICIP 2022: 2696-2700 - [c50]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. WACV 2022: 3574-3583 - [i33]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. CoRR abs/2207.08782 (2022) - [i32]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Optimal precision for GANs. CoRR abs/2207.10541 (2022) - [i31]Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide:
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. CoRR abs/2209.06606 (2022) - [i30]Yue Zhu, David Picard:
Decanus to Legatus: Synthetic training for 2D-3D human pose lifting. CoRR abs/2210.02231 (2022) - [i29]Nicolas Dufour, David Picard, Vicky Kalogeiton:
SCAM! Transferring humans between images with Semantic Cross Attention Modulation. CoRR abs/2210.04883 (2022) - [i28]Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide:
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. CoRR abs/2211.13131 (2022) - [i27]Yue Zhu, Nermin Samet, David Picard:
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. CoRR abs/2211.15692 (2022) - [i26]Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard:
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? CoRR abs/2212.10292 (2022) - 2021
- [j17]Diogo C. Luvizon, David Picard, Hedi Tabia:
Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2752-2764 (2021) - [c49]Thomas Luka, Laure Soulier, David Picard:
Apprentissage non supervisé de représentations de mots à l'aide de réseaux de convolution bilinéaires sur des caractères. CORIA 2021 - [c48]Thomas Luka, Laure Soulier, David Picard:
Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. ESANN 2021 - [c47]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. ICCV 2021: 15681-15690 - [c46]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry:
Image Collation: Matching Illustrations in Manuscripts. ICDAR (4) 2021: 351-366 - [c45]Victor Besnier, David Picard, Alexandre Briot:
Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving. ICIP 2021: 3353-3357 - [i25]Arsenia Chorti, David Picard:
Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems. CoRR abs/2103.02306 (2021) - [i24]Victor Besnier, David Picard, Alexandre Briot:
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving. CoRR abs/2105.13688 (2021) - [i23]Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot:
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. CoRR abs/2108.01634 (2021) - [i22]Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry:
Image Collation: Matching illustrations in manuscripts. CoRR abs/2108.08109 (2021) - [i21]David Picard:
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision. CoRR abs/2109.08203 (2021) - [i20]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. CoRR abs/2110.09803 (2021) - [i19]David Picard, Jérôme Fellus, Stéphane Garnier:
Non asymptotic bounds in asynchronous sum-weight gossip protocols. CoRR abs/2111.10248 (2021) - [i18]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT, a generative model for image editing. CoRR abs/2111.15264 (2021) - 2020
- [j16]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
DIABLO: Dictionary-based attention block for deep metric learning. Pattern Recognit. Lett. 135: 99-105 (2020) - [j15]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization. IEEE Trans. Image Process. 29: 3569-3581 (2020) - [i17]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
DIABLO: Dictionary-based Attention Block for Deep Metric Learning. CoRR abs/2004.14644 (2020) - [i16]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization. CoRR abs/2005.12548 (2020) - [i15]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Improving Deep Metric Learning with Virtual Classes and Examples Mining. CoRR abs/2006.06611 (2020) - [i14]Diogo C. Luvizon, Hedi Tabia, David Picard:
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression. CoRR abs/2009.01998 (2020)
2010 – 2019
- 2019
- [j14]Diogo C. Luvizon, Hedi Tabia, David Picard:
Human pose regression by combining indirect part detection and contextual information. Comput. Graph. 85: 15-22 (2019) - [j13]Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord:
Distributed optimization for deep learning with gossip exchange. Neurocomputing 330: 287-296 (2019) - [c44]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. ICCV 2019: 6538-6547 - [c43]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Efficient Codebook and Factorization for Second Order Representation Learning. ICIP 2019: 849-853 - [i13]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Efficient Codebook and Factorization for Second Order Representation Learning. CoRR abs/1906.01972 (2019) - [i12]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. CoRR abs/1908.02735 (2019) - [i11]Diogo C. Luvizon, Hedi Tabia, David Picard:
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates. CoRR abs/1911.09245 (2019) - [i10]Diogo C. Luvizon, Hedi Tabia, David Picard:
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. CoRR abs/1912.08077 (2019) - 2018
- [c42]Diogo C. Luvizon, David Picard, Hedi Tabia:
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning. CVPR 2018: 5137-5146 - [c41]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Image Reassembly Combining Deep Learning and Shortest Path Problem. ECCV (6) 2018: 155-169 - [c40]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord:
Images and Recipes: Retrieval in the Cooking Context. ICDE Workshops 2018: 169-174 - [c39]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. ICIP 2018: 1018-1022 - [c38]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Leveraging Implicit Spatial Information in Global Features for Image Retrieval. ICIP 2018: 2002-2006 - [c37]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord:
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. SIGIR 2018: 35-44 - [i9]Diogo C. Luvizon, David Picard, Hedi Tabia:
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. CoRR abs/1802.09232 (2018) - [i8]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord:
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. CoRR abs/1804.11146 (2018) - [i7]Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord:
Images & Recipes: Retrieval in the cooking context. CoRR abs/1805.00900 (2018) - [i6]Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Leveraging Implicit Spatial Information in Global Features for Image Retrieval. CoRR abs/1806.08991 (2018) - [i5]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. CoRR abs/1807.03155 (2018) - [i4]Marie-Morgane Paumard, David Picard, Hedi Tabia:
Image Reassembly Combining Deep Learning and Shortest Path Problem. CoRR abs/1809.00898 (2018) - 2017
- [b2]David Picard:
Contributions à l'apprentissage de représentations pour l'indexation basée sur le contenu visuel. Cergy-Pontoise University, France, 2017 - [j12]Aladine Chetouani, Robert Erdmann, David Picard, Filippo Stanco:
Special Section Guest Editorial: Image Processing for Cultural Heritage. J. Electronic Imaging 26(1): 11001 (2017) - [j11]Diogo Carbonera Luvizon, Hedi Tabia, David Picard:
Learning features combination for human action recognition from skeleton sequences. Pattern Recognit. Lett. 99: 13-20 (2017) - [i3]David Picard:
Very Fast Kernel SVM under Budget Constraints. CoRR abs/1701.00167 (2017) - [i2]Diogo C. Luvizon, Hedi Tabia, David Picard:
Human Pose Regression by Combining Indirect Part Detection and Contextual Information. CoRR abs/1710.02322 (2017) - 2016
- [j10]Olivier Kihl, David Picard, Philippe Henri Gosselin:
Local polynomial space-time descriptors for action classification. Mach. Vis. Appl. 27(3): 351-361 (2016) - [c36]David Picard, Thomas Henn, Georg Dietz:
Non-negative dictionary learning for paper watermark similarity. ACSSC 2016: 130-133 - [c35]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.:
Wove paper analysis through texture similarities. ACSSC 2016: 144-148 - [c34]David Picard:
Preserving local spatial information in image similarity using tensor aggregation of local features. ICIP 2016: 201-205 - [i1]Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome:
Gossip training for deep learning. CoRR abs/1611.09726 (2016) - 2015
- [j9]Jérôme Fellus, David Picard, Philippe Henri Gosselin:
Asynchronous gossip principal components analysis. Neurocomputing 169: 262-271 (2015) - [j8]Olivier Kihl, David Picard, Philippe Henri Gosselin:
A unified framework for local visual descriptors evaluation. Pattern Recognit. 48(4): 1174-1184 (2015) - [j7]David Picard, Philippe Henri Gosselin, Marie-Claude Gaspard:
Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active learning with applications to text classification. IEEE Signal Process. Mag. 32(4): 95-102 (2015) - [j6]Jérôme Fellus, David Picard, Philippe-Henri Gosselin:
Indexation multimédia par dictionnaires visuels en environnement décentralisé. Une approche par protocoles Gossip. Traitement du Signal 32(1): 39-64 (2015) - [c33]Jérôme Fellus, David Picard, Philippe-Henri Gosselin:
Asynchronous decentralized convex optimization through short-term gradient averaging. ESANN 2015 - [c32]Nicolas Cazin, Aymeric Histace, David Picard, Benoit Gaudou:
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) 2015: 151-164 - [c31]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:
IRIM at TRECVID 2015: Semantic Indexing. TRECVID 2015 - 2014
- [c30]David Picard, Inbar Fijalkow:
Second order model deviations of local Gabor features for texture classification. ACSSC 2014: 917-920 - [c29]Romain Negrel, David Picard, Philippe Henri Gosselin:
Evaluation of second-order visual features for land-use classification. CBMI 2014: 1-5 - [c28]Hedi Tabia, Hamid Laga, David Picard, Philippe Henri Gosselin:
Covariance Descriptors for 3D Shape Matching and Retrieval. CVPR 2014: 4185-4192 - [c27]Jérôme Fellus, David Picard, Philippe Henri Gosselin:
Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. ESANN 2014 - [c26]Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord:
Semantic pooling for image categorization using multiple kernel learning. ICIP 2014: 170-174 - [c25]Romain Negrel, David Picard, Philippe Henri Gosselin:
Dimensionality reduction of visual features using sparse projectors for content-based image retrieval. ICIP 2014: 2192-2196 - [c24]Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard:
Incremental learning of latent structural SVM for weakly supervised image classification. ICIP 2014: 4246-4250 - [c23]David Picard, Ngoc-Son Vu, Inbar Fijalkow:
Photographic paper texture classification using model deviation of local visual descriptors. ICIP 2014: 5701-5705 - [c22]Romain Negrel, David Picard, Philippe Henri Gosselin:
Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval. ICPR 2014: 738-743 - [c21]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:
IRIM at TRECVID 2014: Semantic Indexing and Instance Search. TRECVID 2014 - 2013
- [j5]David Picard, Philippe Henri Gosselin:
Efficient image signatures and similarities using tensor products of local descriptors. Comput. Vis. Image Underst. 117(6): 680-687 (2013) - [j4]Romain Negrel, David Picard, Philippe Henri Gosselin:
Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors. IEEE Multim. 20(3): 2433 (2013) - [j3]David Picard, Nicolas Thome, Matthieu Cord:
JKernelMachines: a simple framework for kernel machine. J. Mach. Learn. Res. 14(1): 1417-1421 (2013) - [c20]Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin:
Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval. 3DOR@Eurographics 2013: 17-24 - [c19]Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin:
Fast Approximation of Distance Between Elastic Curves using Kernels. BMVC 2013 - [c18]Philippe Henri Gosselin, David Picard:
Machine Learning and Content-Based Multimedia Retrieval. ESANN 2013 - [c17]Jérôme Fellus, David Picard, Philippe Henri Gosselin:
Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets. ICDM Workshops 2013: 599-606 - [c16]Olivier Kihl, David Picard, Philippe Henri Gosselin:
A unified formalism for video descriptors. ICIP 2013: 2416-2419 - [c15]Hedi Tabia, David Picard, Hamid Laga, Philippe Henri Gosselin:
3D shape similarity using vectors of locally aggregated tensors. ICIP 2013: 2694-2698 - [c14]Mehdi Badr, Dan Vodislav, David Picard, Shaoyi Yin, Philippe Henri Gosselin:
Multi-criteria search algorithm: An efficient approximate k-NN algorithm for image retrieval. ICIP 2013: 2901-2905 - [c13]Olivier Kihl, David Picard, Philippe Henri Gosselin:
Local polynomial space-time descriptors for actions classification. MVA 2013: 327-330 - [c12]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:
IRIM at TRECVID 2013 : Semantic Indexing and Instance Search. TRECVID 2013 - 2012
- [j2]David Picard, Arnaud Revel, Matthieu Cord:
An application of swarm intelligence to distributed image retrieval. Inf. Sci. 192: 71-81 (2012) - [c11]David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy:
Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. ESANN 2012 - [c10]Romain Negrel, David Picard, Philippe Henri Gosselin:
Compact tensor based image representation for similarity search. ICIP 2012: 2425-2428 - [c9]Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord:
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. ICMLA (2) 2012: 339-344 - [c8]Romain Negrel, David Picard, Philippe Henri Gosselin:
Using spatial pyramids with compacted VLAT for image categorization. ICPR 2012: 2460-2463 - 2011
- [c7]David Picard, Philippe Henri Gosselin:
Improving image similarity with vectors of locally aggregated tensors. ICIP 2011: 669-672 - 2010
- [c6]David Picard, Nicolas Thome, Matthieu Cord:
An efficient system for combining complementary kernels in complex visual categorization tasks. ICIP 2010: 3877-3880
2000 – 2009
- 2009
- [c5]Eduardo Valle, David Picard, Matthieu Cord:
Geometric consistency checking for local-descriptor based document retrieval. ACM Symposium on Document Engineering 2009: 135-138 - 2008
- [b1]David Picard:
Recherche d'images sur un réseau à l'aide d'un système multi-agents. (Distributed Content Based Image Retrieval using a Multi-Agent System). Cergy-Pontoise University, France, 2008 - [j1]David Picard, Matthieu Cord, Arnaud Revel:
Image Retrieval Over Networks: Active Learning Using Ant Algorithm. IEEE Trans. Multim. 10(7): 1356-1365 (2008) - [c4]David Picard, Arnaud Revel, Matthieu Cord:
Image retrieval over networks: Ant algorithm for long term active learning. CBMI 2008: 439-445 - [c3]David Picard, Arnaud Revel, Matthieu Cord:
Long term learning for image retrieval over networks. ICIP 2008: 929-932 - 2006
- [c2]David Picard, Matthieu Cord, Arnaud Revel:
CBIR in Distributed Databases using a Multi-Agent System. ICIP 2006: 3205-3208 - [c1]David Picard, Matthieu Cord:
Performances of Mobile-Agents for Interactive Image Retrieval. Web Intelligence 2006: 581-586
Coauthor Index
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