| Improving the fisher kernel for large-scale image classification F Perronnin, J Sánchez, T Mensink European conference on computer vision, 143-156, 2010 | 2980 | 2010 |
| Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval Y Gong, S Lazebnik, A Gordo, F Perronnin IEEE transactions on pattern analysis and machine intelligence 35 (12), 2916 …, 2012 | 2337 | 2012 |
| Fisher kernels on visual vocabularies for image categorization F Perronnin, C Dance 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 1828 | 2007 |
| Image classification with the fisher vector: Theory and practice J Sánchez, F Perronnin, T Mensink, J Verbeek International journal of computer vision 105 (3), 222-245, 2013 | 1535 | 2013 |
| Aggregating local image descriptors into compact codes H Jégou, F Perronnin, M Douze, J Sánchez, P Pérez, C Schmid IEEE transactions on pattern analysis and machine intelligence 34 (9), 1704-1716, 2011 | 1496 | 2011 |
| Large-scale image retrieval with compressed fisher vectors F Perronnin, Y Liu, J Sánchez, H Poirier 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 817 | 2010 |
| AVA: A large-scale database for aesthetic visual analysis N Murray, L Marchesotti, F Perronnin 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2408-2415, 2012 | 552 | 2012 |
| Label-embedding for attribute-based classification Z Akata, F Perronnin, Z Harchaoui, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 528 | 2013 |
| Label-embedding for image classification Z Akata, F Perronnin, Z Harchaoui, C Schmid IEEE transactions on pattern analysis and machine intelligence 38 (7), 1425-1438, 2015 | 447 | 2015 |
| Assessing the aesthetic quality of photographs using generic image descriptors L Marchesotti, F Perronnin, D Larlus, G Csurka 2011 international conference on computer vision, 1784-1791, 2011 | 377 | 2011 |
| High-dimensional signature compression for large-scale image classification J Sánchez, F Perronnin CVPR 2011, 1665-1672, 2011 | 350 | 2011 |
| Adapted vocabularies for generic visual categorization F Perronnin, C Dance, G Csurka, M Bressan European Conference on Computer Vision, 464-475, 2006 | 316 | 2006 |
| Distance-based image classification: Generalizing to new classes at near-zero cost T Mensink, J Verbeek, F Perronnin, G Csurka IEEE transactions on pattern analysis and machine intelligence 35 (11), 2624 …, 2013 | 302 | 2013 |
| Metric learning for large scale image classification: Generalizing to new classes at near-zero cost T Mensink, J Verbeek, F Perronnin, G Csurka European Conference on Computer Vision, 488-501, 2012 | 278 | 2012 |
| Universal and adapted vocabularies for generic visual categorization F Perronnin IEEE Transactions on pattern analysis and machine intelligence 30 (7), 1243-1256, 2008 | 254 | 2008 |
| What is a good evaluation measure for semantic segmentation?. G Csurka, D Larlus, F Perronnin, F Meylan BMVC 27 (2013), 10.5244, 2013 | 236 | 2013 |
| Text-based searching of image data JAR Serrano, F Perronnin, CJ Saunders US Patent 8,533,204, 2013 | 232 | 2013 |
| Handwritten word-spotting using hidden Markov models and universal vocabularies JA Rodríguez-Serrano, F Perronnin Pattern Recognition 42 (9), 2106-2116, 2009 | 215 | 2009 |
| Local gradient histogram features for word spotting in unconstrained handwritten documents JA Rodriguez, F Perronnin Proc. 1st ICFHR, 7-12, 2008 | 207 | 2008 |
| Large-scale image categorization with explicit data embedding F Perronnin, J Sánchez, Y Liu 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 193 | 2010 |
Gabriela CsurkaPrincipal Scientist at Naver Labs EuropeVerified email at naverlabs.com
