]. A. At04a, B. Agarwal, and . Triggs, 3D Human Pose from Silhouettes by Relevance Vector Regression, IEEE Conference on Computer Vision and Pattern Recognition, pp.882-888, 2004.

A. Agarwal and B. Triggs, Learning to track 3D human motion from silhouettes, Twenty-first international conference on Machine learning , ICML '04, pp.9-16, 2004.
DOI : 10.1145/1015330.1015343

URL : https://hal.archives-ouvertes.fr/inria-00548549

@. B. Triggs, Learning to reconstruct human motion from silhouettes, 2005.

@. C. Schmid, Local invariant regions and part models, 2005.

@. C. Schmid, How to define good datasets? CVPR area chair meeting workshop, 2005.

@. C. Schmid, Modeling spatial relations. MSRI workshop on Visual Recognition, 2005.

@. B. Triggs, Regression models for human pose estimation from silhouettes, 2005.

@. C. Schmid, Recognition and matching based on local invariant features, 2005.

@. C. Schmid, Category classification. ICCV area chair meeting workshop Leuven, 2005.

@. B. Triggs, Multilevel coding for visual recognition. ICCV area chair meeting workshop Leuven, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548592

@. C. Schmid, Building local part models for category-level recognition, Empirical Inference Symposium, 2005.

@. B. Triggs, Multilevel coding for visual recognition, Australian National University, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548592

@. C. Schmid, Building local part models for category-level recognition, 2005.

@. A. Agarwal, Hyperfeatures ??? Multilevel Local Coding for Visual Recognition, 2005.
DOI : 10.1007/11744023_3

URL : https://hal.archives-ouvertes.fr/inria-00548592

@. C. Schmid, Building local part models for category-level recognition, ENS Ulm seminar, 2005.

@. B. Triggs, Detecting people in images and videos and reconstructing their movements, 2005.

@. C. Schmid, From local invariant descriptors to recognition, 2005.

]. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman, Towards Category-Level Object Recognition, 10 Bibliography Books and Monographs, 2006.
DOI : 10.1007/11957959

URL : https://hal.archives-ouvertes.fr/inria-00548614

. Doctoral, Habilitation " theses Generative models in supervised statistical learning with applications to digital image categorization and structural reliability, 2005.

B. Triggs, Reconstruction monoculaire du mouvement humain, et autres travaux Habilitation a diriger des recherches, 2000.

A. Agarwal and B. Triggs, Recovering 3D human pose from monocular images, Articles in referred journals and book chapters, 2006.
DOI : 10.1109/TPAMI.2006.21

URL : https://hal.archives-ouvertes.fr/inria-00548619

C. Bouveyron, S. Girard, and C. Schmid, High-Dimensional Discriminant Analysis, Communications in Statistics - Theory and Methods, vol.1, issue.14, 2005.
DOI : 10.1214/aos/1176344136

URL : https://hal.archives-ouvertes.fr/inria-00548516

C. Bouveyron, S. Girard, and C. Schmid, High-Dimensional Discriminant Analysis, Subspace, Latent Structure and Feature Selection Techniques, Springer Lecture Notes in Computer Science, 2005.
DOI : 10.1214/aos/1176344136

URL : https://hal.archives-ouvertes.fr/inria-00548516

P. Carbonetto, G. Dork´odork´-dork´o, C. Schmid, H. Kuck, N. De et al., Learning to Recognize Objects with Little Supervision, International Journal of Computer Vision, vol.73, issue.2, p.5, 2005.
DOI : 10.1007/s11263-007-0067-7

URL : https://hal.archives-ouvertes.fr/inria-00548668

S. Lazebnik, C. Schmid, and J. Ponce, A sparse texture representation using local affine regions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1265-1278, 2005.
DOI : 10.1109/TPAMI.2005.151

URL : https://hal.archives-ouvertes.fr/inria-00548530

K. Mikolajczk, C. Schmid, and A. Zisserman, Human Detection Based on a Probabilistic Assembly of Robust Part Detectors, 2006.
DOI : 10.1007/978-3-540-24670-1_6

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188

URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2004.
DOI : 10.1007/s11263-005-3848-x

URL : https://hal.archives-ouvertes.fr/inria-00548528

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, Segmenting, modeling and matching video clips containing multiple moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence
URL : https://hal.archives-ouvertes.fr/inria-00548534

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, Object modeling and recognition using local affine-invariant image descriptors and multi-view spatial contraints, International Journal of Computer Vision, vol.66, issue.3, 2004.

C. Schmid, G. Dork´odork´-dork´o, S. Lazebnik, K. Mikolajczyk, and J. Ponce, PATTERN RECOGNITION WITH LOCAL INVARIANT FEATURES, World Scientific, p.5, 2005.
DOI : 10.1142/9789812775320_0005

URL : https://hal.archives-ouvertes.fr/inria-00548523

C. Sminchisescu and B. Triggs, Building Roadmaps of Minima and Transitions in Visual Models, International Journal of Computer Vision, vol.61, issue.1, pp.81-101, 2005.
DOI : 10.1023/B:VISI.0000042935.43630.46

URL : https://hal.archives-ouvertes.fr/inria-00548527

C. Sminchisescu and B. Triggs, Hyperdynamic Sampling, Journal of Image & Vision Computing, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548617

B. Triggs and M. Sdika, Boundary conditions for Young-van Vliet recursive filtering, IEEE Transactions on Signal Processing, vol.54, issue.6, p.5, 2005.
DOI : 10.1109/TSP.2006.871980

URL : https://hal.archives-ouvertes.fr/inria-00548616

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classifcation of Texture and Object Categories: An In-Depth Study, International Journal of Computer Vision

A. Agarwal and B. Triggs, Hyperfeatures ??? Multilevel Local Coding for Visual Recognition, 2005.
DOI : 10.1007/11744023_3

URL : https://hal.archives-ouvertes.fr/inria-00548592

A. Agarwal and B. Triggs, Monocular Human Motion Capture with a Mixture of Regressors, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Workshops, 2005.
DOI : 10.1109/CVPR.2005.496

URL : https://hal.archives-ouvertes.fr/inria-00548522

A. Agarwal and B. Triggs, A Local Basis Representation for Estimating Human Pose from Cluttered Images, Asian Conference on Computer Vision, 2006.
DOI : 10.1007/11612032_6

URL : https://hal.archives-ouvertes.fr/inria-00548593

J. Blanchet, F. Forbes, and C. Schmid, Markov Random Fields for Recognizing textures modeled by Feature Vectors, International Symposium on Applied Stochastic Models and Data Analysis, p.5, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548518

J. Blanchet, F. Forbes, and C. Schmid, Markov random fields for textures recognition with local invariant regions and their geometric relationships, Procedings of the British Machine Vision Conference 2005, 2005.
DOI : 10.5244/C.19.72

URL : https://hal.archives-ouvertes.fr/inria-00548520

J. Blanchet, F. Forbes, and C. Schmid, Modèles markoviens pour l'organisation spatiale de descripteurs d'images, Conférence francophone sur l'apprentissage automatique, p.5, 2005.

J. Blanchet, F. Forbes, and C. Schmid, Modèles markoviens pour l'organisation spatiale de descripteurs d'images, 37e Journées de Statistique de la Société Française de Statistique, 2005.

G. Bouchard and B. Triggs, Hierarchical Part-Based Visual Object Categorization, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.710-715, 2005.
DOI : 10.1109/CVPR.2005.174

URL : https://hal.archives-ouvertes.fr/inria-00548513

C. Bouveyron, S. Girard, and C. Schmid, High-Dimensional Discriminant Analysis, International Symposium on Applied Stochastic Models and Data Analysis, 2005.
DOI : 10.1214/aos/1176344136

URL : https://hal.archives-ouvertes.fr/inria-00548516

C. Bouveyron, S. Girard, and C. Schmid, Une méthode de classification des données de grande dimension, 37e Journées de Statistique de la Société Française de Statistique, 2005.

C. Bouveyron, S. Girard, and C. Schmid, Une nouvelle méthode de classification pour la reconnaissance de formes, 2005.

N. Dalal, B. Triggs, and C. Schmid, Human Detection Using Oriented Histograms of Flow and Appearance, p.5, 2005.
DOI : 10.1023/A:1008162616689

URL : https://hal.archives-ouvertes.fr/inria-00548587

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

G. Dorko and C. Schmid, Maximally Stable Local Description for Scale Selection
DOI : 10.1007/11744085_39

URL : https://hal.archives-ouvertes.fr/inria-00548588

J. Falcou, J. Serot, T. Chateau, and F. Jurie, A Parallel Implementation of a 3D Reconstruction Algorithm for Real-Time Vision, Parallel Computing, p.5, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00167395

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, p.5, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511

D. Larlus, G. Dork´odork´-dork´o, and F. Jurie, Création de Vocabulaires Visuels Efficaces pour la Catégorisation d'Images, Reconnaissance des Formes et Intelligence Artificielle, p.6, 2006.

S. Lazebnik, C. Schmid, and J. Ponce, A maximum entropy framework for part-based texture and object recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.10

URL : https://hal.archives-ouvertes.fr/inria-00548510

L. Masson, M. Dhome, and F. Jurie, Tracking 3D Object using Flexible Models, Procedings of the British Machine Vision Conference 2005, 2005.
DOI : 10.5244/C.19.37

URL : https://hal.archives-ouvertes.fr/inria-00548508

T. Moerland and F. Jurie, Learned Color Constancy from Local Correspondences, 2005 IEEE International Conference on Multimedia and Expo, 2005.
DOI : 10.1109/ICME.2005.1521549

URL : https://hal.archives-ouvertes.fr/inria-00548507

E. Nowak and F. Jurie, Vehicle Categorization: Parts for Speed and Accuracy, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, p.5, 2005.
DOI : 10.1109/VSPETS.2005.1570926

URL : https://hal.archives-ouvertes.fr/inria-00548506

J. Ponce, T. Papadopoulo, M. Teillaud, and B. Triggs, On the Absolute Quadric Complex and its Application to Autocalibration, Proceedings of the Conference on Computer Vision and Pattern Recognition, pp.780-787, 2005.

J. Vandeweijer and C. Schmid, Coloring local feature extraction

A. Agarwal and B. Triggs, Hyperfeatures ??? Multilevel Local Coding for Visual Recognition, 2005.
DOI : 10.1007/11744023_3

URL : https://hal.archives-ouvertes.fr/inria-00548592

C. Bouveyron, S. Girard, and C. Schmid, Analyse Discriminante de Haute Dimension, p.5, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00071243

G. Dork´odork´-dork´o and C. Schmid, Object Class Recognition Using Discriminative Local Features, 2005.

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00070281

N. Dalal, HOG Object Detection -version 0.0.1 du 12 Copyright owned by INRIA, Software registered at Agence pour la Protection des Programmes (APP) 249, rue de Crimée- 75019, 2005.