@. H. Jégou-12h, @. F. Jurie, . Matching, . Recognition, . Inpg et al., Multi-media databases, INPG, 3rd year ENSIMAG, 18h ? D. Larlus, INPG Bachelor 1, Practical courses in functional programming, 40h ? D. Larlus, INPG, Mathematics for computer sciences, Master ICA, 2nd year, 22h 9.3. Invited presentations ? V. Ferrari, Object Detection with Contour Segment Networks, 2006.

@. V. Ferrari, Object Detection by Contour Segment Networks, 2006.
DOI : 10.1007/11744078_2

@. H. Jégou, Nearest neighbors search, 2006.

@. H. Jégou, Improving projection-based approximate nearest neighbors search, Workshop on Category-Level Object Recognition, 2006.

@. F. Jurie, Fast Discriminative visual codebooks using randomized clustering forests, Workshop on Category-Level Object Recognition, 2006.

@. F. Jurie, Catégorisation d'images : avancées récentes, Journee du GdR ISIS, 2006.

@. D. Larlus, Utilisation de modèles à variables latentes pour l'amélioration du vocabulaire visuel dans le cadre de la catégorisation d'objets, Journee du GdR ISIS, 2006.

@. M. Marsza?ek, Bag-of-features and beyond, Journee du LJK, 2006.

@. M. Marsza?ek, Spatial Weighting for bag-of-features, Workshop on Category-Level Object Recognition, 2006.

@. M. Marsza?ek, Bag-of-features image representation: state-of-the-art and beyond, Journee du GdR ISIS, 2006.

@. M. Marsza?ek, MoviStar: bag-of-features and beyond, 2006.

@. R. Mohr, Aller-retours entre théorie et réalité, ou une leçon de modestie en vision par ordinateur, conférence invitée pour les 20 ans du Loria, 2006.

@. E. Nowak, Reconnaissance d'objets dans des images: une approche par sac-de-mots, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548583

@. C. Schmid, Bag-of-features and beyond, Seminar at UIUC, Champaign, 2006.

@. C. Schmid, Bag-of-features and beyond, Seminar at ETH Zurich, 2006.

@. C. Schmid, Bag-of-features and beyond, Seminar at Xerox, 2006.

@. C. Schmid, Invariant local features, Tutorial at AERFAI Summer School on Action and Object Classification Techniques in Digital Images, 2006.

@. C. Schmid, Beyond bag-of-features: adding spatial and shape information, Seminar at Microsoft Research, 2006.

@. C. Schmid, Beyond bag-of-features: adding spatial and shape information, 2006.

@. C. Schmid, Groups of adjacent contour segments for object detection, Workshop on Category-Level Object Recognition, 2006.

@. C. Schmid, Beyond bag-of-features: adding spatial and shape information, Seminar at ENS, 2006.

@. B. Triggs, Histograms of oriented gradients for human detection, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548512

@. B. Triggs, Contributions to visual recognition and human motion estimation, 2006.

@. B. Triggs, Finding people in images and videos, Seminar at Microsoft Research, 2006.

@. J. Van-de-weijer, Coloring local feature extraction for object recognition, 2006.

@. J. Verbeek, Unsupervised learning of low-dimensional structure in high-dimensional data, Learning Workshop at the Laboratoire Lorrain de Recherche en Informatique, 2006.

J. Ponce, M. Hebert, C. Schmid, and A. Zisserman, Towards category-level object recognition, to appear, 2006.

C. Bouveyron, Modélisation et classification des données de grande dimension : application à l'analyse d'images, 2006.

N. Dalal, Finding people in images and videos, Dal06. Articles in refereed journals and book chapters, 2006.
URL : https://hal.archives-ouvertes.fr/tel-00390303

A. Agarwal and B. Triggs, Recovering 3D human pose from monocular images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.1, 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, in "Communications in Statistics: Theory and Methods, 2006.

C. Bouveyron, S. Girard, and C. Schmid, Class-specific subspace discriminant analysis for highdimensional data, Lecture Notes in Computer Science, issue.3940, pp.139-150, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00104065

T. Brox, R. Van-den, F. Boomgaard, J. Lauze, J. Van-de-weijer et al., Visualization and image processing of tensor fields: adaptive structure tensors and their applications, chap. I, pp.17-47, 2006.

P. Carbonetto, G. Dorkó, C. Schmid, H. Kuck, N. De et al., A semi-supervised learning approach to object recognition with spatial integration of local features and sementation cues, in "Towards categorylevel object recognition, 2006.

T. Gevers, J. Van-de-weijer, and H. Stokman, Color image processing: methods and applications: color feature detection: an overview, chap, p.6, 2006.

S. Lazebnik, C. Schmid, and J. Ponce, A discriminative framework for texture and object recognition using local image features, in "Towards category-level object recognition, 2006.

J. Ponce, T. L. Berg, M. Everingham, D. Forsyth, M. Hebert et al., Dataset issues in object recognition, in "Towards Category-Level Object Recognition, 2006.

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, 3D object modeling and recognition from photographs and image sequences, in "Towards category-Level object recognition, 2006.

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, Segmenting, modeling, and matching video clips containing multiple moving objects, IEEE Transactions on Pattern Analysis & Machine Intelligence, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548534

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, Object modeling and recognition using local affineinvariant image descriptors and multi-view spatial contraints, International Journal of Computer Vision, vol.66, issue.3, p.6, 2006.

C. Sminchisescu and B. Triggs, Fast mixing hyperdynamic samplingJournal of Image & Vision Computing, Special issue on ECCV'02 papers, pp.279-289, 2006.

B. Triggs and M. Sdika, Boundary conditions for Young-van Vliet recursive filtering, IEEE Transactions on Signal Processing, vol.54, issue.6, p.6, 2006.
DOI : 10.1109/TSP.2006.871980
URL : https://hal.archives-ouvertes.fr/inria-00548616

J. Verbeek, J. Nunnink, and N. Vlassis, Accelerated EM-based clustering of large data sets, Data Mining and Knowledge Discovery, vol.13, issue.3, pp.291-307, 2006.
DOI : 10.1007/s10618-005-0033-3
URL : https://hal.archives-ouvertes.fr/inria-00321022

J. Verbeek, Learning nonlinear image manifolds by global alignment of local linear models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.8, pp.1236-1250, 2006.
DOI : 10.1109/TPAMI.2006.166
URL : https://hal.archives-ouvertes.fr/inria-00321131

J. Verbeek and N. Vlassis, Gaussian fields for semi-supervised regression and correspondence learning, Pattern Recognition, vol.39, issue.10, pp.1864-1875, 2006.
DOI : 10.1016/j.patcog.2006.04.011
URL : https://hal.archives-ouvertes.fr/inria-00321133

J. Zhang, M. Marsza?ek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, 2006.
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574

J. Van-de-weijer, T. Gevers, and A. Bagdanov, Boosting color saliency in image feature detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.1, pp.150-156, 2006.
DOI : 10.1109/TPAMI.2006.3
URL : https://hal.archives-ouvertes.fr/inria-00548615

J. Van-de-weijer, T. Gevers, and A. Smeulders, Robust photometric invariant features from the color tensor, Publications in Conferences and Workshops, 2006.
DOI : 10.1109/TIP.2005.860343
URL : https://hal.archives-ouvertes.fr/inria-00548599

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

A. Agarwal and B. Triggs, Hyperfeatures ??? Multilevel Local Coding for Visual Recognition, European Conference on Computer Vision, 2006.
DOI : 10.1007/11744023_3
URL : https://hal.archives-ouvertes.fr/inria-00548592

C. Bouveyron, S. Girard, and C. Schmid, Classification des données de grande dimension : application à la vision par ordinateur, in "2èmes Rencontres Inter-Associations sur la classification et ses applications, 2006.

C. Bouveyron, S. Girard, and C. Schmid, High-dimensional data clustering, 17th International Conference on Computational Statistics, pp.812-820, 2006.
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548573

C. Bouveyron, J. Kannala, C. Schmid, and S. Girard, Object Localization by Subspace Clustering of Local Descriptors, 5th Indian Conference on Computer Vision, Graphics and Image Processing, p.6, 2006.
DOI : 10.1007/11949619_41
URL : https://hal.archives-ouvertes.fr/inria-00548589

N. Dalal, B. Triggs, and C. Schmid, Human Detection Using Oriented Histograms of Flow and Appearance, European Conference on Computer Vision, p.6, 2006.
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587

G. Dorkó and C. Schmid, Maximally Stable Local Description for Scale Selection, European Conference on Computer Vision, p.6, 2006.
DOI : 10.1007/11744085_39

M. Heikkila, M. Pietikainen, and C. Schmid, Description of Interest Regions with Center-Symmetric Local Binary Patterns, 5th Indian Conference on Computer Vision, Graphics and Image Processing, p.6, 2006.
DOI : 10.1007/11949619_6
URL : https://hal.archives-ouvertes.fr/inria-00548586

D. Knossow, J. Van-de-weijer, R. Horaud, and R. Ronfard, Articulated-body tracking through anisotropic edge detection, in "Workshop on Dynamical Vision, in conjecture with ECCV, p.6, 2006.

D. Larlus, G. Dorkó, and F. Jurie, Création de vocabulaires visuels efficaces pour la catégorisation d'images, in "Reconnaissance des Formes et Intelligence Artificielle, p.6, 2006.

D. Larlus and F. Jurie, Latent Mixture Vocabularies for Object Categorization, Procedings of the British Machine Vision Conference 2006, p.6, 2006.
DOI : 10.5244/C.20.98
URL : https://hal.archives-ouvertes.fr/hal-00203721

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), p.6, 2006.
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585

M. Marsza?ek and C. Schmid, Spatial Weighting for Bag-of-Features, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.288

F. Moosmann, D. Larlus, and F. Jurie, Learning saliency maps for object categorization, in "ECCV International Workshop on The Representation and Use of Prior Knowledge in Vision, 2006.

F. Moosmann, B. Triggs, and F. Jurie, Randomized clustering forests for building fast and discriminative visual vocabularies, Neural Information Processing Systems (NIPS), 2006.

E. Nowak and F. Jurie, Learning visual distance function for object identification from one example, in "LCE Workshop in conjunction with NIPS'06, 2006.

E. Nowak, F. Jurie, and B. Triggs, Sampling Strategies for Bag-of-Features Image Classification, European Conference on Computer Vision, p.6, 2006.
DOI : 10.1007/11744085_38
URL : https://hal.archives-ouvertes.fr/hal-00203752

C. Pantofaru, G. Dorkó, C. Schmid, and M. Hebert, Combining regions and patches for object class localization, in "Beyond Patches Workshop in conjunction with CVPR, 2006.

T. Quack, V. Ferrari, and L. V. Gool, Video Mining with Frequent Itemset Configurations, International Conference on Image and Video Retrieval, p.6, 2006.
DOI : 10.1007/11788034_37
URL : https://hal.archives-ouvertes.fr/inria-00548580

N. Sebe, T. Gevers, S. Dijkstra, and J. Van, Evaluation of intensity and color corner detectors for affine invariant salient regions, in "Beyond Patches Workshop in conjunction with CVPR, p.6, 2006.

N. Sebe, T. Gevers, J. Van-de-weijer, and S. Dijkstra, Corner Detectors for Affine Invariant Salient Regions: Is Color Important?, International Conference on Image and Video Retrieval, p.6, 2006.
DOI : 10.1007/11788034_7
URL : https://hal.archives-ouvertes.fr/inria-00548578

A. Thomas, V. Ferrari, B. Leibe, T. Tuytelaars, B. Schiele et al., Towards multiview object class detection, IEEE Conference on Computer Vision & Pattern Recognition, p.6, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548577

J. Zhang, M. Marsza?ek, S. Lazebnik, and C. Schmid, Local features and kernels for classification of texture and object categories: a comprehensive study, in "Beyond Patches Workshop in conjunction with CVPR, p.6, 2006.

Z. Zivkovic and J. Verbeek, Transformation invariant component analysis for binary images, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), p.6, 2006.
DOI : 10.1109/CVPR.2006.316
URL : https://hal.archives-ouvertes.fr/inria-00321134

J. Van-de-weijer and C. Schmid, Blur Robust and Color Constant Image Description, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.312666
URL : https://hal.archives-ouvertes.fr/inria-00548575

J. Van-de-weijer and C. Schmid, Coloring Local Feature Extraction, European Conference on Computer Vision, pp.334-348, 2006.
DOI : 10.1002/col.10049
URL : https://hal.archives-ouvertes.fr/inria-00548576

C. Bouveyron, S. Girard, and C. Schmid, High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, 1083.
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548573

V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, Groups of Adjacent Contour Segments for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.1, 2006.
DOI : 10.1109/TPAMI.2007.1144
URL : https://hal.archives-ouvertes.fr/inria-00096663

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

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, 2005.
DOI : 10.1007/s11263-005-3848-x
URL : https://hal.archives-ouvertes.fr/inria-00548528

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003.
DOI : 10.1109/ICCV.2003.1238663