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hal-00722313v1
Communication dans un congrès
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost Andrew Fitzgibbon and Svetlana Lazebnik and Pietro Perona and Yoichi Sato and Cordelia Schmid. ECCV 2012 - 12th European Conference on Computer Vision, Oct 2012, Florence, Italy. Springer, 7573, pp.488-501, 2012, Lecture Notes in Computer Science; Computer Vision - ECCV 2012. <10.1007/978-3-642-33709-3_35> |
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inria-00548633v1
Communication dans un congrès
Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek. LEAR and XRCE's participation to Visual Concept Detection Task - ImageCLEF 2010 ImageCLEF - Workshop Cross Language Image Retrieval, Sep 2010, Padua, Italy. pp.48, 2010 |
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hal-00779493v3
Rapport
Jorge Sanchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek. Image Classification with the Fisher Vector: Theory and Practice [Research Report] RR-8209, INRIA. 2013 |
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hal-00988820v1
Communication dans un congrès
Mattis Paulin, Jérôme Revaud, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid. Selection itérative de transformations pour la classification d'images RFIA 2014 - Reconnaissance de Formes et Intelligence Artificielle, Jun 2014, Rouen, France. 2014 |
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hal-00903502v1
Communication dans un congrès
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Attribute-Based Classification with Label-Embedding NIPS 2013 Workshop on Output Representation Learning, Dec 2013, Lake Tahoe, United States. 2013 |
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hal-01207966v1
Communication dans un congrès
Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronnin et al. Local Convolutional Features with Unsupervised Training for Image Retrieval ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago, Chile. IEEE, pp.91-99, <10.1109/ICCV.2015.19> |
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hal-00815747v3
Communication dans un congrès
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Label-Embedding for Attribute-Based Classification CVPR 2013 - IEEE Computer Vision and Pattern Recognition, Jun 2013, Portland, United States. IEEE, pp.819-826, 2013, <10.1109/CVPR.2013.111> |
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inria-00548630v1
Communication dans un congrès
Florent Perronnin, Jorge Sánchez, Thomas Mensink. Improving the Fisher Kernel for Large-Scale Image Classification Kostas Daniilidis and Petros Maragos and Nikos Paragios. ECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. Springer-Verlag, 6314, pp.143-156, 2010, Lecture Notes in Computer Science. <http://springerlink.metapress.com/content/151r875374318254/>. <10.1007/978-3-642-15561-1_11> |
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hal-00949416v1
Chapitre d'ouvrage
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets Farinella, Giovanni Maria and Battiato, Sebastiano and Cipolla, Roberto. Advanced Topics in Computer Vision, Springer, pp.243-276, 2013, 978-1-4471-5519-5. <10.1007/978-1-4471-5520-1_9> |
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hal-00735908v1
Rapport
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Large Scale Metric Learning for Distance-Based Image Classification [Research Report] RR-8077, INRIA. 2012, pp.30 |
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hal-00817681v1
Communication dans un congrès
Jorge Sánchez, Florent Perronnin, Zeynep Akata. Fisher Vectors for Fine-Grained Visual Categorization FGVC Workshop in IEEE Computer Vision and Pattern Recognition (CVPR), Jun 2011, Colorado Springs, United States. 2011 |
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hal-00979464v1
Communication dans un congrès
Mattis Paulin, Jérôme Revaud, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid. Transformation Pursuit for Image Classification CVPR 2014 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2014, Columbus, United States. Proceedings IEEE Conference on Computer Vision & Pattern Recognition |
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hal-00690014v1
Communication dans un congrès
Florent Perronnin, Zeynep Akata, Zaid Harchaoui, Cordelia Schmid. Towards Good Practice in Large-Scale Learning for Image Classification CVPR 2012 - IEEE Computer Vision and Pattern Recognition, Jun 2012, Providence (RI), United States. IEEE, pp.3482-3489, 2012, <10.1109/CVPR.2012.6248090> |
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hal-00817211v1
Article dans une revue
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka. Distance-Based Image Classification: Generalizing to new classes at near-zero cost IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2013, 35 (11), pp.2624-2637. <10.1109/TPAMI.2013.83> |
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inria-00633013v1
Article dans une revue
Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez et al. Aggregating local image descriptors into compact codes IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2012, 34 (9), pp.1704-1716. <10.1109/TPAMI.2011.235> |
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hal-01207145v1
Article dans une revue
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Label-Embedding for Image Classification IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016, 38 (7), pp.1425-1438. <10.1109/TPAMI.2015.2487986> |
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hal-00835810v1
Article dans une revue
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Good Practice in Large-Scale Learning for Image Classification IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, 36 (3), pp.507-520. <10.1109/TPAMI.2013.146> |
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hal-00830491v2
Article dans une revue
Jorge Sanchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek. Image Classification with the Fisher Vector: Theory and Practice International Journal of Computer Vision, Springer Verlag, 2013, 105 (3), pp.222-245. <10.1007/s11263-013-0636-x> |
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hal-01277109v2
Article dans une revue
Mattis Paulin, Julien Mairal, Matthijs Douze, Zaid Harchaoui, Florent Perronnin et al. Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach International Journal of Computer Vision, Springer Verlag, 2017, 121 (1), pp.149-168. <10.1007/s11263-016-0924-3> |
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