Публикации 2006-2022

• 2022
  • Ch. Corbière, N. Thome, A. Saporta, T.‑H. Vu, M. Cord, P. Pérez : “Confidence Estimation via Auxiliary Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44 (10), pp. 6043-6055, (Institute of Electrical and Electronics Engineers) (2022)
• 2021
  • A. Douillard, A. Rame, G. Couairon, M. Cord : “DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion”, (2021)
  • A. Douillard, Y. Chen, A. Dapogny, M. Cord : “Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation”, (2021)
  • C. Dancette, R. Cadene, D. Teney, M. Cord : “Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering”, 2021 International Conference on Computer Vision, Montreal, Canada (2021)
  • Ch. Corbière, M. Lafon, N. Thome, M. Cord, P. Pérez : “Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition”, ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, Virtual, Austria (2021)
  • C. Dancette, R. Cadene, X. Chen, M. Cord : “Learning Reasoning Mechanisms for Unbiased Question-based Counting”, VQA Workshop, Conference on Computer Vision and Pattern Recognition 2021, Nashville, TN, United States (2021)
  • A. Douillard, E. Valle, Ch. Ollion, Th. Robert, M. Cord : “Insights from the Future for Continual Learning”, CVPR Workshop, Nashville, United States, pp. 3477-3486, (IEEE) (2021)
  • A. Douillard, Y. Chen, A. Dapogny, M. Cord : “PLOP: Learning without Forgetting for Continual Semantic Segmentation”, CVPR, Nashville, United States (2021)
  • A. Rame, M. Cord : “DICE: DIVERSITY IN DEEP ENSEMBLES VIA CONDITIONAL REDUNDANCY ADVERSARIAL ESTIMATION”, ICLR 2021 - 9^th International Conference on Learning Representations, Vienne, Austria (2021)
  • A. Rame, R. Sun, M. Cord : “MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks”, ICCV 2021, Paris, France, pp. 823-833 (2021)
  • A. Dapogny, K. Bailly, M. Cord : “Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion”, 2020 15^th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, pp. 192-198, (IEEE) (2021)
  • A. Saporta, T.‑H. Vu, M. Cord, P. Pérez : “Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation”, IEEE/CVF International Conference on Computer Vision (ICCV), Montreal (virtuel), Canada (2021)
• 2020
  • Y. Chen, A. Dapogny, M. Cord : “SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss”, Pattern Recognition, vol. 108, pp. 107557, (Elsevier) (2020)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Deep Learning and Information Geometry for Drone Micro-Doppler Radar Classification”, 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, pp. 1-6, (IEEE) (2020)
  • A. Douillard, M. Cord, Ch. Ollion, Th. Robert, E. Valle : “PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning”, ECCV 2020 - 16^th European Conference on Computer Vision, vol. 12365, Lecture Notes in Computer Science, Glasgow, United Kingdom, pp. 86-102, (Springer) (2020)
  • S. Gidaris, A. Bursuc, N. Komodakis, P. Pérez, M. Cord : “Learning Representations by Predicting Bags of Visual Words”, CVPR2020 - Conference on Computer Vision and Pattern Recognition, CVPR, Seattle, WA, United States (2020)
  • A. Saporta, T.‑H. Vu, M. Cord, P. Pérez : “ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation”, Workshop on Scalability in Autonomous Driving at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington (virtual), United States (2020)
  • V. Besnier, H. Jain, A. Bursuc, M. Cord, P. Pérez : “This dataset does not exist: training models from generated images”, ICASSP 2020 - 45^th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain (2020)
  • A. Dapogny, M. Cord, P. Pérez : “The Missing Data Encoder: Cross-Channel Image Completion with Hide-And-Seek Adversarial Network”, AAAI-20 - Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, United States (2020)
• 2019
  • M. Bucher, T.‑H. Vu, M. Cord, P. Pérez : “Zero-Shot Semantic Segmentation”, NeurIPS, vancouver, Canada (2019)
  • Ch. Corbière, N. Thome, A. Bar‑Hen, M. Cord, P. Pérez : “Addressing Failure Prediction by Learning Model Confidence”, Advances in Neural Information Processing Systems 32, Vancouver, Canada, pp. 2898-2909, (Curran Associates, Inc.) (2019)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Riemannian batch normalization for SPD neural networks”, Thirty-third Annual Conference on Neural Information Processing Systems., Vancouver, Canada (2019)
  • R. Cadene, C. Dancette, H. Ben‑younes, M. Cord, D. Parikh : “RUBi: Reducing Unimodal Biases for Visual Question Answering”, Neural Information Processing Systems, vol. 32, Advances in Neural Information Processing Systems, Vancouver, Canada, pp. 841-852, (Curran Associates, Inc.) (2019)
  • A. Dapogny, B. Kevin, M. Cord : “DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild”, The IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, Republic of (2019)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “A Hermitian Positive Definite neural network for micro-Doppler complex covariance processing”, International Radar Conference, Toulon, France (2019)
  • A. Saporta, Y. Chen, M. Blot, M. Cord : “REVE: Regularizing Deep Learning with Variational Entropy Bound”, 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Province of China, pp. 1610-1614, (IEEE) (2019)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Second-order networks in PyTorch”, GSI 2019 - 4^th International Conference on Geometric Science of Information, vol. 11712, Lecture Notes in Computer Science, Toulouse, France, pp. 751-758, (Springer) (2019)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Complex-valued neural networks for fully-temporal micro-Doppler classification”, 2019 20^th International Radar Symposium (IRS), 2019 20^th International Radar Symposium (IRS), Ulm, Germany, (IEEE) (2019)
  • R. Cadene, H. Ben‑younes, M. Cord, N. Thome : “MUREL: Multimodal Relational Reasoning for Visual Question Answering”, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States (2019)
  • M. Engilberge, L. Chevallier, P. Pérez, M. Cord : “SoDeep: a Sorting Deep net to learn ranking loss surrogates”, CVPR 2019 - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, United States (2019)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data”, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, United Kingdom, pp. 3672-3676, (IEEE) (2019)
  • Th. Durand, N. Thome, M. Cord : “Exploiting Negative Evidence for Deep Latent Structured Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41 (2), pp. 337-351, (Institute of Electrical and Electronics Engineers) (2019)
  • H. Ben‑younes, R. Cadene, N. Thome, M. Cord : “BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection”, AAAI 2019 - 33^rd AAAI Conference on Artificial Intelligence, Honolulu, United States (2019)
  • M. Blot, D. Picard, N. Thome, M. Cord : “Distributed Optimization for Deep Learning with Gossip Exchange”, Neurocomputing, vol. 330, pp. 287-296, (Elsevier) (2019)
  • Y. Chen, A. Saporta, A. Dapogny, M. Cord : “Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation”, 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Province of China, pp. 609-613, (IEEE) (2019)
• 2018
  • T. Mordan, N. Thome, G. Henaff, M. Cord : “Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection”, Advances in Neural Information Processing Systems 32 (NeurIPS 2018), Montréal, Canada (2018)
  • M. CHEVALIER, N. Thome, G. Henaff, M. Cord : “Classifying low-resolution images by integrating privileged information in deep CNNs”, Pattern Recognition Letters, vol. 116, pp. 29-35, (Elsevier) (2018)
  • Th. Durand, N. Thome, M. Cord : “SyMIL: MinMax Latent SVM for Weakly Labeled Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 29 (12), pp. 6099-6112, (IEEE) (2018)
  • M. Blot, Th. Robert, N. Thome, M. Cord : “SHADE: Information-Based Regularization for Deep Learning”, ICIP 2018 - 25^th IEEE International Conference on Image Processing, Athènes, Greece, pp. 813-817, (IEEE) (2018)
  • Th. Robert, N. Thome, M. Cord : “HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning”, Computer Vision – ECCV 2018 15^th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, vol. 11211, Lecture Notes in Computer Science, Munich, Germany, pp. 158-175, (Springer) (2018)
  • T. Mordan, N. Thome, G. Henaff, M. Cord : “End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection”, International Journal of Computer Vision, (Springer Verlag) (2018)
  • M. Engilberge, L. Chevallier, P. Pérez, M. Cord : “Deep semantic-visual embedding with localization”, RFIAP 2018 - Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, Marne-la-Vallée, France (2018)
  • D. Brooks, O. Schwander, F. Barbaresco, J.‑Y. Schneider, M. Cord : “Temporal Deep Learning for Drone Micro-Doppler Classification”, IRS 2018 - 19^th International Radar Symposium, Bonn, Germany, (IEEE) (2018)
  • M. Engilberge, L. Chevallier, P. Pérez, M. Cord : “Finding beans in burgers: Deep semantic-visual embedding with localization”, CVPR 2018 - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, United States, pp. 3984-3993, (IEEE) (2018)
  • E. Mehr, A. Lieutier, F. Bermudez, V. Guitteny, N. Thome, M. Cord : “Manifold Learning in Quotient Spaces”, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, United States, pp. 9165-9174, (IEEE) (2018)
  • M. Carvalho, R. Cadene, D. Picard, L. Soulier, N. Thome, M. Cord : “Cross-Modal Retrieval in the Cooking Context”, SIGIR proceedings, Ann Arbor, Michigan, United States, pp. 35-44, (ACM Press) (2018)
  • M. Carvalho, R. Cadene, D. Picard, L. Soulier, M. Cord : “Images & Recipes: Retrieval in the cooking context”, International Conference on Data Engineering (ICDE), DECOR workshop, Paris, France (2018)
• 2017
  • X. Wang, N. Thome, M. Cord : “Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection”, Pattern Recognition, vol. 72, pp. 59-71, (Elsevier) (2017)
  • H. Ben‑younes, R. Cadene, M. Cord, N. Thome : “MUTAN: Multimodal Tucker Fusion for Visual Question Answering”, 2017 IEEE International Conference on Computer Vision (ICCV), 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, pp. 2631-2639, (IEEE) (2017)
  • T. Mordan, N. Thome, M. Cord, G. Henaff : “Deformable Part-based Fully Convolutional Network for Object Detection”, British Machine Vision Conference (BMVC), London, United Kingdom (2017)
  • Th. Durand, T. Mordan, N. Thome, M. Cord : “WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, United States, pp. 5957-5966 (2017)
• 2016
  • M. Carvalho, M. Cord, S. Avila, N. Thome, E. Valle : “Deep Neural Networks Under Stress”, IEEE International Conference on Image Processing (ICIP 2016), Phoenix, AZ, United States (2016)
  • X. Wang, N. Thome, M. Cord : “GAZE LATENT SUPPORT VECTOR MACHINE FOR IMAGE CLASSIFICATION”, IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, United States (2016)
  • Th. Durand, N. Thome, M. Cord : “WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks”, 29^th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, United States (2016)
  • M. CHEVALIER, N. Thome, M. Cord, J. Fournier, G. Henaff, E. Dusch : “LOW RESOLUTION CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC TARGET RECOGNITION”, 7^th International Symposium on Optronics in Defence and Security, Paris, France (2016)
  • M. Blot, M. Cord, N. Thome : “Max-min convolutional neural networks for image classification”, Image Processing (ICIP), 2016 IEEE International Conference on, Phoenix, United States, pp. 3678-3682, (IEEE) (2016)
  • Marc T. Law, N. Thome, M. Cord : “Learning a Distance Metric from Relative Comparisons between Quadruplets of Images”, International Journal of Computer Vision, pp. 1-30, (Springer Verlag) (2016)
• 2015
  • Th. Durand, N. Thome, M. Cord : “MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking”, IEEE International Conference on Computer Vision (ICCV15), Santiago, Chile (2015)
  • C. Le Barz, N. Thome, M. Cord, S. Herbin, M. Sanfourche : “EXEMPLAR BASED METRIC LEARNING FOR ROBUST VISUAL LOCALIZATION”, IEEE International Conference on Image Processing, ICIP 2015, Québec, Canada, pp. 388-w6mp-151 (2015)
  • M. CHEVALIER, N. Thome, M. Cord, J. Fournier, G. Henaff, E. Dusch : “LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION”, IEEE International Conference on Image Processing, Québec city, Canada (2015)
  • X. Wang, D. Kumar, N. Thome, M. Cord, F. Precioso : “RECIPE RECOGNITION WITH LARGE MULTIMODAL FOOD DATASET”, IEEE International Conference on Multimedia & Expo (ICME), workshop CEA, Turin, Italy (2015)
  • C. Le Barz, N. Thome, M. Cord, S. Herbin, M. Sanfourche : “Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning”, 6^th international Workshop on Computer Vision in Vehicle Technology, CHICAGO, United States (2015)
  • M. Law, N. Thome, S. Gançarski, M. Cord : “Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs”, CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12^th French Information Retrieval Conference, Paris, France (2015)
• 2014
  • H. Goh, N. Thome, M. Cord, J.‑H. Lim : “Learning Deep Hierarchical Visual Feature Coding”, IEEE Transactions on Neural Networks and Learning Systems, vol. 25 (12), pp. 2212-2225, (IEEE) (2014)
  • Th. Durand, N. Thome, M. Cord, D. Picard : “Incremental learning of latent structural SVM for weakly supervised image classification”, IEEE International Conference on Image Processing, Paris, France, pp. 4246-4250, (IEEE) (2014)
  • Th. Durand, D. Picard, N. Thome, M. Cord : “SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING”, IEEE International Conference on Image Processing, Paris, France, (Institute of Electrical and Electronics Engineers) (2014)
  • C. Le Barz, N. Thome, M. Cord, S. Herbin, M. Sanfourche : “Global Robot Ego-localization Combining Image Retrieval and HMM-based Filtering”, 6^th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Chicago, United States, pp. 6 p. (2014)
  • Ch. Theriault, N. Thome, M. Cord, P. Pérez : “Perceptual principles for video classification with Slow Feature Analysis”, IEEE Journal of Selected Topics in Signal Processing, vol. 8 (3), pp. 428-437, (IEEE) (2014)
  • R. Minetto, N. Thome, M. Cord, Neucimar J. Leite, J. Stolfi : “SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes”, Computer Vision and Image Understanding, vol. 122, pp. 92-104, (Elsevier) (2014)
  • G. Dulac‑Arnold, L. Denoyer, N. Thome, M. Cord, P. Gallinari : “Sequentially Generated Instance-Dependent Image Representations for Classification”, International Conference on Learning Representations, ICLR 2014, Banff, Canada (2014)
  • C. Iovan, P.‑H. Cournède, Th. Guyard, B. Bayol, D. Boldo, M. Cord : “Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52 (2), pp. 1438-1450, (Institute of Electrical and Electronics Engineers) (2014)
  • M. Law, N. Thome, M. Cord : “Fantope Regularization in Metric Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, United States, pp. 1051-1058 (2014)
  • M. Law, N. Thome, M. Cord : “Bag-of-Words Image Representation: Key Ideas and Further Insight”, chapter in Fusion in Computer Vision - Understanding Complex Visual Content, Advances in Computer Vision and Pattern Recognition, pp. 29-52, (Springer) (2014)
• 2013
  • H. Goh, N. Thome, M. Cord, J.‑H. Lim : “Top-Down Regularization of Deep Belief Networks”, Advances in Neural Information Processing Systems 26, Lake Tahoe, United States, pp. 1878-1886 (2013)
  • Th. Durand, N. Thome, M. Cord, S. Avila : “Image classification using object detectors”, ICIP 2013 : IEEE International Conference on Image Processing, Melbourne, Australia, pp. 4340-4344 (2013)
  • S. Avila, N. Thome, M. Cord, E. Valle, A. De Albuquerque Araújo : “Extended Bag-of-Words Formalism for Image Classification”, Brazilian Symposium on Computer Graphics and Image Processing, Arequipa, Peru (2013)
  • Ch. Theriault, N. Thome, M. Cord : “Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis.”, IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, United States, pp. 2603-2610, (IEEE) (2013)
  • D. Picard, N. Thome, M. Cord : “JKernelMachines: A Simple Framework for Kernel Machines”, Journal of Machine Learning Research, vol. 14, pp. 1417-1421, (Journal of Machine Learning Research) (2013)
  • S. Avila, N. Thome, M. Cord, E. Valle, A. De Albuquerque Araújo : “Pooling in Image Representation: the Visual Codeword Point of View”, Computer Vision and Image Understanding, vol. 117 (5), pp. 453-465, (Elsevier) (2013)
  • R. Minetto, N. Thome, M. Cord, Neucimar J. Leite, J. Stolfi : “T-HOG: an Effective Gradient-Based Descriptor for Single Line Text Regions”, Pattern Recognition, vol. 46 (3), pp. 1078-1090, (Elsevier) (2013)
  • Ch. Theriault, N. Thome, M. Cord : “Extended Coding and Pooling in the HMAX Model”, IEEE Transactions on Image Processing, vol. 22 (2), pp. 764-777, (Institute of Electrical and Electronics Engineers) (2013)
  • M. Law, N. Thome, M. Cord : “Quadruplet-Wise Image Similarity Learning”, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, pp. 249-256 (2013)
  • J. Fabrizio, B. Marcotegui, M. Cord : “Text detection in street level images”, Pattern Analysis and Applications, vol. 16 (4), pp. 519-533, (Springer Verlag) (2013)
• 2012
  • N. Ballas, B. Labbé, A. Shabou, H. Le Borgne, Ph. Gosselin, M. Redi, B. Merialdo, H. Jégou, J. Delhumeau, R. Vieux, B. Mansencal, J. Benois‑Pineau, S. Ayache, A. Hamadi, B. Safadi, F. Thollard, N. Derbas, G. Quenot, H. Bredin, M. Cord, B. Gao, Ch. Zhu, Y. Tang, E. Dellandrea, Ch. Bichot, L. Chen, A. Benoit, P. Lambert, T. Strat, J. Razik, S. Paris, H. Glotin, T. Trung, D. Petrovska‑Delacrétaz, G. Chollet, A. Stoian, M. Crucianu : “IRIM at TRECVID 2012: Semantic Indexing and Instance Search”, TRECVID - TREC Video Retrieval Evaluation workshop, Gaithersburg, MD, United States, pp. 12p. (2012)
  • H. Goh, N. Thome, M. Cord, J.‑H. Lim : “Unsupervised and supervised visual codes with restricted Boltzmann machines”, 12^th European conference on Computer Vision, vol. 7576, Lecture Notes in Computer Science, Florence, Italy, pp. 298-311 (2012)
  • M. Law, N. Thome, M. Cord : “Hybrid Pooling Fusion in the BoW Pipeline”, ECCV 2012 Workshop on Information fusion in Computer Vision for Concept Recognition (ECCV-IFCVCR 2012), vol. 7585, Lecture Notes in Computer Science, Florence, Italy, pp. 355-364, (Springer) (2012)
  • J. Guyomard, N. Thome, M. Cord, Th. Artières : “Contextual Detection of Drawn Symbols in Old Maps”, International Conference on Image Processing (ICIP), Orlando, Florida, United States, pp. 837-840, (IEEE) (2012)
  • M. Law, N. Thome, S. Gançarski, M. Cord : “Structural and Visual Comparisons for Web Page Archiving”, 12^th edition of the ACM Symposium on Document Engineering, DocEng'12, Paris, France, pp. 117-120, (ACM) (2012)
  • D. Picard, A. Revel, M. Cord : “An Application of Swarm Intelligence to Distributed Image Retrieval”, Information Sciences, vol. 192, pp. 71-81, (Elsevier) (2012)
  • M. Law, C. Sureda Gutierrez, N. Thome, S. Gançarski, M. Cord : “Structural and Visual Similarity Learning for Web Page Archiving”, 10^th workshop on Content-Based Multimedia Indexing (CBMI), Annecy, France, pp. 1-6, (IEEE) (2012)
  • D. Picard, N. Thome, M. Cord, A. Rakotomamonjy : “Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm”, ESANN 2012, Bruges, Belgium, pp. 79-84 (2012)
  • J. Benois‑Pineau, F. Precioso, M. Cord : “Visual Indexing and Retrieval”, 115 pages, (Springer), (ISBN: 1461435870, 9781461435877) (2012)
  • D. Gorisse, M. Cord, F. Precioso : “Locality sensitive hashing for chi2 distance”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34 (2), pp. 402-410, (Institute of Electrical and Electronics Engineers) (2012)
  • C. Iovan, D. Picard, N. Thome, M. Cord : “Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context”, Machine Learning and Applications (ICMLA), 2012 11^th International Conference on, vol. 2, Boca Raton, Florida, United States, pp. 339-344 (2012)
• 2011
  • B. Delezoide, F. Precioso, Ph. Gosselin, M. Redi, B. Merialdo, L. Granjon, D. Pellerin, M. Rombaut, H. Jégou, R. Vieux, B. Mansencal, J. Benois‑Pineau, S. Ayache, B. Safadi, F. Thollard, G. Quenot, H. Bredin, M. Cord, A. Benoit, P. Lambert, T. Strat, J. Razik, S. Paris, H. Glotin : “IRIM at TRECVID 2011: Semantic Indexing and Instance Search”, TRECVID 2011 - TREC Video Retrieval Evaluation Online, Gaithersburg, MD, United States, pp. 12p., (NIST) (2011)
  • R. Minetto, N. Thome, M. Cord, J. Stolfi, F. Precioso, J. Guyomard, Neucimar J. Leite : “Text Detection and Recognition in Urban Scenes”, International Conference on Computer Vision (ICCV): Workshop on Computer Vision for Remote Sensing of the Environment, Barcelona, Spain, pp. 227-234, (IEEE) (2011)
  • Sh. Zhao, F. Precioso, M. Cord : “Spatio-Temporal Tube data representation and Kernel design for SVM-based video object retrieval system”, Multimedia Tools and Applications, vol. 55 (1), Special issue on "Image and Video Retrieval: Theory and Applications"., pp. 105-125, (Springer Verlag) (2011)
  • D. Gorisse, M. Cord, F. Precioso : “SALSAS: Sub-linear Active Learning Strategy with Approximate k-NN Search”, Pattern Recognition, vol. 44 (10-11), pp. 2244-2254, (Elsevier) (2011)
  • S. Avila, N. Thome, M. Cord, E. Valle, A. De Albuquerque Araújo : “BOSSA: extended BoW formalism for image classification”, IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, pp. 2909-2912, (IEEE) (2011)
  • R. Minetto, N. Thome, M. Cord, Neucimar J. Leite, J. Stolfi : “SNOOPERTRACK: TEXT DETECTION AND TRACKING FOR OUTDOOR VIDEOS”, IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, pp. 505-508, (IEEE) (2011)
  • F. Precioso, M. Cord, D. Gorisse, N. Thome : “Efficient bag-of-feature kernel representation for image similarity search”, ICIP 2011 - IEEE International Conference on Image Processing, Bruxelles, Belgium, pp. 109-112, (IEEE) (2011)
  • Ch. Theriault, N. Thome, M. Cord : “HMAX-S: DEEP SCALE REPRESENTATION FOR BIOLOGICALLY INSPIRED IMAGE CATEGORIZATION”, IEEE International Conference on Image Processing, Brussels, Belgium, pp. 1261-1264, (IEEE) (2011)
  • H. Goh, K. Łukasz, J.‑H. Lim, N. Thome, M. Cord : “Learning Invariant Color Features with Sparse Topographic Restricted Boltzmann Machines”, ICIP 2011 - IEEE International Conference on Image Processing, Brussels, Belgium, pp. 1241-1244 (2011)
  • D. Pitzalis, F. Niccolucci, M. Cord : “Using LIDO to handle 3D cultural heritage documentation data provenance”, 9^th International Workshop on Content-Based Multimedia Indexing (CBMI 2011), Madrid, Spain, pp. 37-42 (2011)
• 2010
  • D. Gorisse, F. Precioso, Ph. Gosselin, L. Granjon, D. Pellerin, M. Rombaut, H. Bredin, L. Koenig, R. Vieux, B. Mansencal, J. Benois‑Pineau, H. Boujut, C. Morand, H. Jégou, S. Ayache, B. Safadi, Y. Tong, F. Thollard, G. Quenot, M. Cord, A. Benoit, P. Lambert : “IRIM at TRECVID 2010: Semantic Indexing and Instance Search”, TRECVID 2010 - TREC Video Retrieval Evaluation workshop, Gaithersburg, MD, United States (2010)
  • Sh. Zhao, F. Precioso, M. Cord : “STTK-based Video Object Recognition”, ICIP 2010 - 17^th IEEE International Conference on Image Processing, Hong-Kong, Hong Kong, pp. 3873-3876, (IEEE) (2010)
  • D. Gorisse, M. Cord, F. Precioso : “Scalable active learning strategy for object category retrieval”, ICIP 2010 - 17^th IEEE International Conference on Image Processing, Hong-Kong, Hong Kong, pp. 1013-1016, (IEEE) (2010)
  • E. Valle, M. Cord, S. Philipp‑Foliguet, D. Gorisse : “Indexing Personal Image Collections: A Flexible, Scalable Solution”, IEEE Transactions on Consumer Electronics, vol. 56 (3), pp. 1167-1175, (Institute of Electrical and Electronics Engineers) (2010)
  • B. Delezoide, H. Le Borgne, P.‑A. Moëllic, D. Gorisse, F. Precioso, F. Wang, B. Merialdo, Ph. Gosselin, L. Granjon, D. Pellerin, M. Rombaut, H. Bredin, L. Koenig, H. Lachambre, E. El Khoury, B. Mansencal, Y. Zhou, J. Benois‑Pineau, H. Jégou, S. Ayache, B. Safadi, G. Quenot, J. Fabrizio, M. Cord, H. Glotin, Zh. Zhao, E. Dumont, B. Augereau : “IRIM at TRECVID2009: High Level Feature Extraction”, TREC Video Retrieval Evaluation Online Proceedings (TRECVID), Gaithersburg, MD, United States (2010)
  • H. Goh, N. Thome, M. Cord : “Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity”, NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Vancouver, Canada (2010)
  • D. Picard, N. Thome, M. Cord : “An efficient System for combining complementary kernels in complex visual categorization tasks”, ICIP 2010 - 17^th IEEE International Conference on Image Processing, Hong Kong, Hong Kong, pp. 3877-3880, (IEEE) (2010)
  • R. Minetto, N. Thome, M. Cord, J. Fabrizio, B. Marcotegui : “Snoopertext: A multiresolution system for text detection in complex visual scenes”, ICIP 2010 - 17^th IEEE International Conference on Image Processing, Hong-Kong, Hong Kong, pp. 3861-3864, (IEEE) (2010)
• 2009
  • D. Gorisse, M. Cord, F. Precioso : “Optimization on active learning strategy for object category retrieval”, 16^th IEEE International Conference on Image Processing (ICIP 09), Cairo, Egypt, pp. 1873-1876, (IEEE) (2009)
  • Sh. Zhao, F. Precioso, M. Cord : “Spatio-temporal Tube Kernel for Actor Retrieval”, 16^th IEEE International Conference on Image Processing (ICIP 09), Cairo, Egypt, pp. 1885-1888, (IEEE) (2009)
  • D. Picard, M. Cord, E. Valle : “Study of sift descriptors for image matching based localization in urban street view context”, ISPRS workshop CMRT'09. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Paris, France, pp. 193-198 (2009)
  • J. Fabrizio, B. Marcotegui, M. Cord : “Text segmentation in natural scenes using toggle-mapping”, 16^th IEEE International Conference on Image Processing (ICIP 09), Le Caire, Egypt, pp. 2373-2376, (IEEE) (2009)
  • E. Valle, D. Picard, M. Cord : “Geometric Consistency Checking for Local-Descriptor Based Document Retrieval”, 9^th ACM symposium on Document engineering (DocEng '09), Munich, Germany, pp. 135-138, (ACM) (2009)
  • J. Fabrizio, M. Cord, B. Marcotegui : “TEXT EXTRACTION FROM STREET LEVEL IMAGES”, Object extraction for 3D city models. Road databases and traffic monitoring. Concepts, algorithms and evaluation., vol. 38 (Part 3 / W4), Paris, France, pp. 199-204 (2009)
• 2008
  • D. Gorisse, M. Cord, F. Precioso, S. Philipp‑Foliguet : “Fast Approximate Kernel-Based Similarity Search for Image Retrieval Task”, ICPR 2008 - 19^th International Conference on Pattern Recognition, Tampa, Florida, United States, pp. 1-4, (IEEE) (2008)
  • D. Picard, M. Cord, A. Revel : “Image Retrieval over Networks : Active Learning using Ant Algorithm”, IEEE Transactions on Multimedia, vol. 10 (7), pp. 1356-1365, (Institute of Electrical and Electronics Engineers) (2008)
  • G. Quenot, J. Benois‑Pineau, B. Mansencal, E. Rossi, M. Cord, F. Precioso, D. Gorisse, P. Lambert, B. Augereau, L. Granjon, D. Pellerin, M. Rombaut, S. Ayache : “Rushes summarization by IRIM consortium: redundancy removal and multi-feature fusion”, TVS '08: Proceedings of the 2^nd ACM TRECVid Video Summarization Workshop, Vancouver, BC, Canada, pp. 80-84, (ACM), (ISBN: 978-1-60558-309-9) (2008)
  • E. Valle, M. Cord, S. Philipp‑Foliguet : “High-Dimensional Descriptor Indexing for Large Multimedia Databases”, 17^th ACM conference on Information and knowledge management, Napa Valley, California, United States, pp. 739-748, (ACM) (2008)
  • D. Gorisse, F. Precioso, S. Philipp‑Foliguet, M. Cord : “Summarization Scheme Based on Near-Duplicate Analysis”, TVS 2008 - 2^nd ACM TRECVid Video Summarization Workshop, Vancouver, Canada, pp. 50-54, (ACM) (2008)
  • E. Valle, M. Cord, S. Philipp‑Foliguet : “Fast Identification of Visual Documents Using Local Descriptors”, ACM Symposium on Document Engineering, DocEng, Sao Paulo, Brazil, pp. 173-176, (ACM) (2008)
  • C. Iovan, D. Boldo, M. Cord : “Detection, Characterization and Modeling Vegetation in Urban Areas from High Resolution Aerial Imagery”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 1 (3), pp. 206-213, (IEEE) (2008)
  • Sh. Zhao, F. Precioso, M. Cord, S. Philipp‑Foliguet : “Actor retrieval system based on kernels on bags of bags”, EUSIPCO 2008 - 16^th European Signal Processing Conference, Lausanne, Switzerland, pp. 1-6 (2008)
  • C. Iovan, D. Boldo, M. Cord : “Detection, segmentation and characterisation of vegetation in high-resolution aerial images for 3d city modelling”, XXI ISPRS Congress, Beijin, China, pp. 247-252 (2008)
  • Ph. Gosselin, M. Cord : “Active learning methods for Interactive Image Retrieval.”, IEEE Transactions on Image Processing, vol. 17 (7), pp. 1200-1211, (Institute of Electrical and Electronics Engineers) (2008)
  • G. Cámara‑Chávez, F. Precioso, M. Cord, S. Philipp‑Foliguet, A. De Albuquerque Araújo : “An interactive video content-based retrieval system”, International Conference on Systems, Signals and Image Processing, Bratislava, Slovakia, pp. 133-136, (IEEE) (2008)
  • D. Picard, A. Revel, M. Cord : “Long Term Learning for Image Retrieval over Networks”, ICIP'08 - 15^th IEEE International Conference on Image Processing, San Diego, CA, United States, pp. 929-932, (IEEE) (2008)
  • D. Picard, A. Revel, M. Cord : “Image Retrieval over Networks: Ant Algorithm for Long Term Active Learning”, CBMI 2008, 6^th International Workshop on Content Based Multimedia Indexing, London, United Kingdom, pp. 439-445 (2008)
  • Ph. Gosselin, M. Cord, S. Philipp‑Foliguet : “Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval”, Computer Vision and Image Understanding, vol. 110 (3), pp. 403-417, (Elsevier) (2008)
  • M. Cord, P. Cunningham : “Machine Learning Techniques for Multimedia”, (Springer), (ISBN: 978-3-540-75170-0) (2008)
• 2007
  • E. Valle, M. Cord, S. Philipp‑Foliguet : “3-Way-Trees: A Similarity Search Method for High-Dimensional Descriptor Matching”, IEEE International Conference on Image Processing (ICIP), vol. 1, San Antonio, Texas, United States, pp. 173-176, (IEEE) (2007)
  • E. Valle, M. Cord, S. Philipp‑Foliguet : “Matching Local Descriptors for Image Identification on Cultural Databases”, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), Curitiba, Brazil, pp. 679-683, (IEEE) (2007)
  • J. Gony, M. Cord, S. Philipp‑Foliguet, Ph. Gosselin, F. Precioso, M. Jordan : “RETIN: a smart interactive digital media retrieval system”, ACM International Conference on Image and Video Retrieval, Amsterdam, Netherlands, pp. 93-96 (2007)
  • C. Iovan, D. Boldo, M. Cord, M. Erikson : “Automatic Extraction and Classication of Vegetation Areas from High Resolution Images in Urban Areas”, Scandinavian Conference on Artificial Intelligence, vol. 4522, Lecture Notes in Computer Science, Aalborg, Denmark, pp. 858-867, (Springer) (2007)
  • D. Gorisse, M. Cord, M. Jordan, S. Philipp‑Foliguet, F. Precioso : “3D Content-Based Retrieval in Artwork Databases”, 3DTV Conference, Kos Island, Greece, pp. 1-4 (2007)
  • C. Iovan, D. Boldo, M. Cord : “Automatic Extraction of urban vegetation structures from High Resolution Imagery and digital elevation models”, Urban Remote Sensing Joint Event, Paris, France, pp. 1-5, (IEEE) (2007)
  • Ph. Gosselin, M. Cord, S. Philipp‑Foliguet : “Kernel on Bags of Fuzzy Regions for fast object retrieval”, ICIP 2007 - IEEE International Conference on Image Processing, San Antonio, Texas, United States, pp. 177-180, (IEEE) (2007)
  • Ph. Gosselin, M. Cord, S. Philipp‑Foliguet : “Kernel on Bags for multi-object database retrieval.”, ACM International Conference on Image and Video Retrieval, Amsterdam, Netherlands, pp. 226-231, (ACM) (2007)
  • M. Cord, Ph. Gosselin, S. Philipp‑Foliguet : “Stochastic exploration and active learning for image retrieval.”, Image and Vision Computing n°25, pp. 14-23, (Elsevier) (2007)
• 2006
  • D. Picard, A. Revel, M. Cord : “Performances of mobile-agents for interactive image retrieval”, Web Intelligence Conference, Hong Kong, Hong Kong, pp. 581-586, (IEEE Computer Society) (2006)