Project/Team LEAR : Learning and Recognition in Vision

LEAR is part of the GRAVIR/IMAG laboratory, a Joint Research Unit of INRIA, the Centre National de Recherche Scientifique (CNRS), the Institut National Polytechnique de Grenoble (INPG) and the Universite Joseph Fourier (UJF). LEAR was created officially on 1st July 2003, but this report summarizes the activities of its members throughout all of 2003.

[1]  Cordelia Schmid,et al.  Query adaptative locality sensitive hashing , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Frédéric Jurie,et al.  Groups of Adjacent Contour Segments for Object Detection , 2008, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Bill Triggs,et al.  Multilevel Image Coding with Hyperfeatures , 2008, International Journal of Computer Vision.

[4]  Cordelia Schmid,et al.  Accurate Object Detection with Deformable Shape Models Learnt from Images , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Cordelia Schmid,et al.  High-dimensional data clustering , 2006, Comput. Stat. Data Anal..

[6]  Cordelia Schmid,et al.  Segmenting, modeling, and matching video clips containing multiple moving objects , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[7]  Cordelia Schmid,et al.  Object Localization by Subspace Clustering of Local Descriptors , 2006, ICVGIP.

[8]  C. Schmid,et al.  Description of Interest Regions with Center-Symmetric Local Binary Patterns , 2006, ICVGIP.

[9]  Cordelia Schmid,et al.  Blur Robust and Color Constant Image Description , 2006, 2006 International Conference on Image Processing.

[10]  Nikos A. Vlassis,et al.  Gaussian fields for semi-supervised regression and correspondence learning , 2006, Pattern Recognit..

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

[12]  Frédéric Jurie,et al.  Latent mixture vocabularies for object categorization and segmentation , 2006, Image Vis. Comput..

[13]  Navneet Dalal,et al.  Finding People in Images and Videos , 2006 .

[14]  Luc Van Gool,et al.  Video mining with frequent itemset configurations , 2006 .

[15]  Nicu Sebe,et al.  Corner Detectors for Affine Invariant Salient Regions: Is Color Important? , 2006, CIVR.

[16]  Cordelia Schmid,et al.  Combining Regions and Patches for Object Class Localization , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[17]  Cordelia Schmid,et al.  Spatial Weighting for Bag-of-Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[18]  Cordelia Schmid,et al.  Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[19]  Jakob J. Verbeek,et al.  Transformation invariant component analysis for binary images , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[20]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[21]  Nicu Sebe,et al.  Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[22]  Bill Triggs,et al.  Boundary conditions for Young-van Vliet recursive filtering , 2006, IEEE Transactions on Signal Processing.

[23]  Tom E. Bishop,et al.  Blind Image Restoration Using a Block-Stationary Signal Model , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[24]  Joost van de Weijer,et al.  Articulated-Body Tracking Through Anisotropic Edge Detection , 2006, WDV.

[25]  Frédéric Jurie,et al.  Learning Saliency Maps for Object Categorization , 2006 .

[26]  Frédéric Jurie,et al.  Sampling Strategies for Bag-of-Features Image Classification , 2006, ECCV.

[27]  Ankur Agarwal,et al.  Hyperfeatures - Multilevel Local Coding for Visual Recognition , 2006, ECCV.

[28]  Cordelia Schmid,et al.  Maximally Stable Local Description for Scale Selection , 2006, ECCV.

[29]  Cordelia Schmid,et al.  Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.

[30]  Cordelia Schmid,et al.  Coloring Local Feature Extraction , 2006, ECCV.

[31]  Luc Van Gool,et al.  Object Detection by Contour Segment Networks , 2006, ECCV.

[32]  Ankur Agarwal,et al.  Machine Learning for Image Based Motion Capture , 2006 .

[33]  Diane Larlus,et al.  Création de Vocabulaires Visuels Efficaces pour la Catégorisation d'Images , 2006 .

[34]  Ankur Agarwal,et al.  A Local Basis Representation for Estimating Human Pose from Cluttered Images , 2006, ACCV.

[35]  David H. Laidlaw,et al.  Visualization and image processing of tensor fields , 2006 .

[36]  Stephane Girard,et al.  Classification des données de grande dimension: application à la vision par ordinateur , 2006 .

[37]  Cordelia Schmid,et al.  Toward Category-Level Object Recognition , 2006, Toward Category-Level Object Recognition.

[38]  Frédéric Jurie,et al.  Reconnaissance d'objets dans des images: une approche par sac-de-mots , 2006 .

[39]  INPG-INRIA-Bertin Technologies.  Learning Visual Distance Function for Object Identification from one Example , 2006 .

[40]  Joost van de Weijer,et al.  Boosting color saliency in image feature detection , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Ankur Agarwal,et al.  Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[42]  Cordelia Schmid,et al.  A Discriminative Framework for Texture and Object Recognition Using Local Image Features , 2006, Toward Category-Level Object Recognition.

[43]  Cordelia Schmid,et al.  3D Object Modeling and Recognition from Photographs and Image Sequences , 2006, Toward Category-Level Object Recognition.

[44]  Cordelia Schmid,et al.  Dataset Issues in Object Recognition , 2006, Toward Category-Level Object Recognition.

[45]  Joost van de Weijer,et al.  Robust photometric invariant features from the color tensor , 2006, IEEE Transactions on Image Processing.

[46]  Nikos A. Vlassis,et al.  Accelerated EM-based clustering of large data sets , 2006, Data Mining and Knowledge Discovery.

[47]  Cordelia Schmid,et al.  A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.

[48]  Cordelia Schmid,et al.  A sparse texture representation using local affine regions , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[49]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[50]  C. Schmid,et al.  High-Dimensional Discriminant Analysis , 2005 .

[51]  Cordelia Schmid,et al.  The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.

[52]  Cordelia Schmid,et al.  Class-Specific Subspace Discriminant Analysis for High-Dimensional Data , 2005, SLSFS.

[53]  C. Schmid,et al.  Object Class Recognition Using Discriminative Local Features , 2005 .

[54]  Cordelia Schmid,et al.  A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[55]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[56]  Ankur Agarwal,et al.  Learning to track 3D human motion from silhouettes , 2004, ICML.

[57]  C. Schmid,et al.  Scale-invariant shape features for recognition of object categories , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[58]  Ankur Agarwal,et al.  3D human pose from silhouettes by relevance vector regression , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[59]  Ankur Agarwal,et al.  Tracking Articulated Motion Using a Mixture of Autoregressive Models , 2004, ECCV.

[60]  Cordelia Schmid,et al.  Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.

[61]  Bill Triggs,et al.  Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes , 2004, ECCV.

[62]  Cordelia Schmid,et al.  Image matching with scale adjustment , 2004, Comput. Vis. Image Underst..

[63]  Cordelia Schmid,et al.  Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval , 2004, International Journal of Computer Vision.

[64]  Cristian Sminchisescu,et al.  Building Roadmaps of Minima and Transitions in Visual Models , 2004, International Journal of Computer Vision.

[65]  Cordelia Schmid,et al.  Affine-invariant local descriptors and neighborhood statistics for texture recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[66]  Cordelia Schmid,et al.  Selection of scale-invariant parts for object class recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[67]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[68]  Cordelia Schmid,et al.  Shape recognition with edge-based features , 2003, BMVC.

[69]  Cristian Sminchisescu,et al.  Kinematic jump processes for monocular 3D human tracking , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[70]  Cordelia Schmid,et al.  3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[71]  Cristian Sminchisescu,et al.  Estimating Articulated Human Motion with Covariance Scaled Sampling , 2003, Int. J. Robotics Res..

[72]  Cordelia Schmid,et al.  Feature selection for object class detection , 2003 .

[73]  Cordelia Schmid,et al.  Representing, learning, and recognizing non-rigid textures and texture categories , 2003 .

[74]  Anand Rangarajan,et al.  A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..

[75]  Cordelia Schmid,et al.  La reconnaissance des formes dans les images , 2003 .

[76]  Guillaume Bouchard,et al.  Localised Mixtures of Experts for Mixture of Regressions , 2003 .

[77]  Nando de Freitas,et al.  Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition , 2003, AISTATS.

[78]  M. Hebert,et al.  3D Photography from Photographs and Video Clips , 2002 .