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David 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) - [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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