@. Other and ?. , Schmid is member of the "INRIA commission d'evaluation

@. C. Invited-presentations and . Schmid, Object recognition based on local invariant descriptors. The 4th Sino-Franco Workshop on Web Technologies, 2003.

@. C. Schmid, Object recognition based on local invariant descriptors. Presentation at Toyota, 2003.

@. C. Schmid and D. Lowe, Short-course on " Recognition and matching based on local invariant features, IEEE Conference on Computer Vision and Pattern Recognition, 2003.

@. C. Schmid, Object Recognition Based on Local Descriptors. Workshop on Computational Vision, 2003.

@. C. Schmid, Affine-invariant local features and applications to recognition. International Workshop on " Designing Tomorrow's Category-Level 3D Object Recognition Systems, 2003.

@. R. Mohr, Visual Recognition: Finding the Needle in the Haystack, 2003.

B. Articles, ]. A. Chapters, N. Bartoli, R. Dalal, and . Horaud, Motion Panoramas, Journal of Visualization and Computer Animation, issue.2, 2003.

G. Bouchard, S. Girard, A. Iouditski, and A. Nazin, Nonparametric estimation of the support boundary through linear programming, Automation and Remote Control, 2003.

R. Choudhury, C. Schmid, and K. Mikolajczyk, Face detection and tracking in a video by propagating detection probabilities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.10, pp.1215-1228, 2003.

Y. Dufournaud, C. Schmid, and R. Horaud, Image matching with scale adjustment, Computer Vision and Image Understanding, vol.93, issue.2, 2003.
DOI : 10.1016/j.cviu.2003.07.003
URL : https://hal.archives-ouvertes.fr/inria-00548555

P. Gros and C. Schmid, La reconnaissance des formes dans les images " , in : Perception visuelle par imagerie vidéo, Hermès, 2003.

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, 2003.
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554

C. Schmid, Recognition with local photometric invariants , in : Trends and Advances in Content-Based Image and Video Retrieval, 2003.

C. Schmid, Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval, International Journal of Computer Vision, vol.56, issue.1/2, pp.7-16, 2003.
DOI : 10.1023/B:VISI.0000004829.38247.b0
URL : https://hal.archives-ouvertes.fr/inria-00548553

C. Sminchisescu and B. Triggs, Estimating Articulated Human Motion with Covariance Scaled Sampling, The International Journal of Robotics Research, vol.22, issue.6, pp.371-391, 2003.
DOI : 10.1177/0278364903022006003
URL : https://hal.archives-ouvertes.fr/inria-00548242

G. Bouchard and G. Celeux, Supervised Classification with Spherical Gaussian Mixtures, CLADAG meeting, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548239

G. Bouchard, Localised Mixtures of Experts for Mixture of Regressions, pp.155-164, 2003.
DOI : 10.1007/978-3-642-18991-3_18
URL : https://hal.archives-ouvertes.fr/inria-00548238

P. Carbonetto, N. De-freitas, P. Gustafson, and N. Thompson, Bayesian feature weighting for unsupervised learning, with application to object recognition, Proceedings of the Workshop on Artificial Intelligence and Statistics, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548235

P. Carbonetto, N. De, and . Freitas, Why can't José read? The problem of learning semantic associations in a robot environment, Proceedings of the NAACL Human Language Technology Conference Workshop on Learning Word Meaning from Non-Linguistic Data, 2003.

G. Dorko and C. Schmid, Feature selection for object class detection, The Learning Workshop, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548233

G. Dorko and C. Schmid, Selection of scale-invariant parts for object class recognition, Proceedings Ninth IEEE International Conference on Computer Vision, pp.634-640, 2003.
DOI : 10.1109/ICCV.2003.1238407
URL : https://hal.archives-ouvertes.fr/inria-00548234

S. Lazebnik, C. Schmid, and J. Ponce, Affine-invariant local descriptors and neighborhood statistics for texture recognition, Proceedings Ninth IEEE International Conference on Computer Vision, pp.649-655, 2003.
DOI : 10.1109/ICCV.2003.1238409
URL : https://hal.archives-ouvertes.fr/inria-00548231

S. Lazebnik, C. Schmid, and J. Ponce, Representing, learning, and recognizing non-rigid textures and texture categories, The Learning Workshop, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548230

S. Lazebnik, C. Schmid, and J. Ponce, Sparse Texture Representation Using Affine-Invariant Neighborhoods, Proceedings of the Conference on Computer Vision and Pattern Recognition, pp.319-324, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548232

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, Proceedings of the Conference on Computer Vision and Pattern Recognition, pp.257-263, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk, A. Zisserman, and C. Schmid, Shape recognition with edge-based features, Procedings of the British Machine Vision Conference 2003, pp.779-788, 2003.
DOI : 10.5244/C.17.79
URL : https://hal.archives-ouvertes.fr/inria-00548226

J. Ponce, F. Rothganger, S. Lazebnik, K. Mchenry, C. Schmid et al., 3D Photography from Photographs and Video Clips, International Symposium on Core Research for Evolutional Science, Technology (CREST) ? Ikeuchi Project, pp.153-182, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548225

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., pp.272-277, 2003.
DOI : 10.1109/CVPR.2003.1211480
URL : https://hal.archives-ouvertes.fr/inria-00548224

C. Sminchisescu and B. Triggs, Kinematic jump processes for monocular 3D human tracking, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211339
URL : https://hal.archives-ouvertes.fr/inria-00548223

A. Agarwal, Learning Dynamical Models for Tracking Complex Motion, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00598470