Jakob J. Verbeek

发表

Is that you? Metric learning approaches for face identification

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2009, 2009 IEEE 12th International Conference on Computer Vision.

LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010

Gabriela Csurka, Thomas Mensink, Florent Perronnin, 2010, CLEF.

Learning structured prediction models for interactive image labeling

Gabriela Csurka, Thomas Mensink, Jakob J. Verbeek, 2011, CVPR 2011.

Efficient Greedy Learning of Gaussian Mixture Models

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2003, Neural Computation.

Ranking User-annotated Images for Multiple Query Terms

Jakob J. Verbeek, Moray Allan, Moray Allan, 2009, BMVC.

Image annotation with tagprop on the MIRFLICKR set

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2010, MIR '10.

The global k-means clustering algorithm

Nikos A. Vlassis, Aristidis Likas, Jakob J. Verbeek, 2003, Pattern Recognit..

Face recognition from caption-based supervision

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2010 .

Approximate Fisher Kernels of Non-iid Image Models for Image Categorization

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob J. Verbeek, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Using High-Level Visual Information for Color Constancy

Cordelia Schmid, Joost van de Weijer, Jakob J. Verbeek, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Improving People Search Using Query Expansions

Thomas Mensink, Jakob J. Verbeek, J. Verbeek, 2008, ECCV.

Circulant Temporal Encoding for Video Retrieval and Temporal Alignment

Cordelia Schmid, Matthijs Douze, Hervé Jégou, 2015, International Journal of Computer Vision.

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2010, ECCV.

Accurate Image Search Using the Contextual Dissimilarity Measure

Cordelia Schmid, Hervé Jégou, Jakob J. Verbeek, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-fold MIL Training for Weakly Supervised Object Localization

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob J. Verbeek, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Trans Media Relevance Feedback for Image Autoannotation

Gabriela Csurka, Thomas Mensink, Jakob J. Verbeek, 2010, BMVC.

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost

Gabriela Csurka, Thomas Mensink, Florent Perronnin, 2012, ECCV.

A Robust and Efficient Video Representation for Action Recognition

Cordelia Schmid, Heng Wang, Dan Oneata, 2015, International Journal of Computer Vision.

Transformation invariant component analysis for binary images

Jakob J. Verbeek, Zoran Zivkovic, J. Verbeek, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Action and Event Recognition with Fisher Vectors on a Compact Feature Set

Cordelia Schmid, Dan Oneata, Jakob J. Verbeek, 2013, 2013 IEEE International Conference on Computer Vision.

Scene Segmentation with CRFs Learned from Partially Labeled Images

Bill Triggs, Jakob J. Verbeek, B. Triggs, 2007, NIPS.

Gaussian fields for semi-supervised regression and correspondence learning

Nikos A. Vlassis, Jakob J. Verbeek, N. Vlassis, 2006, Pattern Recognit..

INRIA-LEAR's Participation in ImageCLEF 2009

Cordelia Schmid, Matthieu Guillaumin, Matthijs Douze, 2009, CLEF.

EP for Efficient Stochastic Control with Obstacles

Hilbert J. Kappen, Thomas Mensink, Jakob J. Verbeek, 2010, ECAI.

Image categorization using Fisher kernels of non-iid image models

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob J. Verbeek, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Mixture models for clustering and dimension reduction

Jakob J. Verbeek, J. Verbeek, 2004 .

Improving web image search results using query-relative classifiers

Frédéric Jurie, Josip Krapac, Jakob J. Verbeek, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Unsupervised metric learning for face identification in TV video

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob J. Verbeek, 2011, 2011 International Conference on Computer Vision.

Coordinating Principal Component Analyzers

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2002, ICANN.

Non-linear CCA and PCA by Alignment of Local Models

Nikos A. Vlassis, Jakob J. Verbeek, Sam T. Roweis, 2003, NIPS.

Self-organizing mixture models

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2005, Neurocomputing.

Accelerated EM-based clustering of large data sets

Nikos A. Vlassis, Jakob J. Verbeek, Jan Nunnink, 2006, Data Mining and Knowledge Discovery.

Active Appearance-Based Robot Localization Using Stereo Vision

Ben J. A. Kröse, Jakob J. Verbeek, Josep M. Porta, 2005, Auton. Robots.

Segmentation Driven Object Detection with Fisher Vectors

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob J. Verbeek, 2013, 2013 IEEE International Conference on Computer Vision.

Self-Organization by Optimizing Free-Energy

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2003, ESANN.

QCompere @ REPERE 2013

Georges Quénot, Qian Yang, Rainer Stiefelhagen, 2013, SLAM@INTERSPEECH.

Enhancing appearance-based robot localization using sparse disparity maps

Ben J. A. Kröse, Jakob J. Verbeek, Josep M. Porta, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Spatio-temporal Object Detection Proposals

Cordelia Schmid, Dan Oneata, Jérôme Revaud, 2014, ECCV.

A Soft k-Segments Algorithm for Principal Curves

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2001, ICANN.

A k-segments algorithm for finding principal curves

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2002, Pattern Recognit. Lett..

Fast nonlinear dimensionality reduction with topology representing networks

Ben J. A. Kröse, Nikos A. Vlassis, Jakob J. Verbeek, 2002, ESANN.

Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints

Hakan Cevikalp, Frédéric Jurie, Alexander Kläser, 2008, VISAPP.

Efficient Action Localization with Approximately Normalized Fisher Vectors

Cordelia Schmid, Dan Oneata, Jakob J. Verbeek, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Color Names for Real-World Applications

Cordelia Schmid, Joost van de Weijer, Jakob J. Verbeek, 2009, IEEE Transactions on Image Processing.

Learning Color Names from Real-World Images

Cordelia Schmid, Joost van de Weijer, Jakob J. Verbeek, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Tree-Structured CRF Models for Interactive Image Labeling

Gabriela Csurka, Thomas Mensink, Jakob J. Verbeek, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Region Classification with Markov Field Aspect Models

Bill Triggs, Jakob J. Verbeek, B. Triggs, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Multimodal semi-supervised learning for image classification

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Automatic face naming with caption-based supervision

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Patch-Level Spatial Layout for Classification and Weakly Supervised Localization

Sinisa Segvic, Josip Krapac, Jakob J. Verbeek, 2015, GCPR.

Fusion of Speech, Faces and Text for Person Identification in TV Broadcast

Georges Quénot, Frédéric Jurie, Sophie Rosset, 2012, ECCV Workshops.

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

Gabriela Csurka, Thomas Mensink, Florent Perronnin, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields

Frédéric Jurie, Jakob J. Verbeek, Diane Larlus, 2010, International Journal of Computer Vision.

Modeling spatial layout with fisher vectors for image categorization

Frédéric Jurie, Josip Krapac, Jakob J. Verbeek, 2011, 2011 International Conference on Computer Vision.

Learning nonlinear image manifolds by global alignment of local linear models

Jakob J. Verbeek, J. Verbeek, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.