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ORCIDFlorent Perronnin
Person information
- affiliation: Naver Labs Europe, Meylan, France
- affiliation: Facebook
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2010 – 2019
- 2018
[j26]Adrien Gaidon, Antonio M. López
, Florent Perronnin:
The Reasonable Effectiveness of Synthetic Visual Data. Int. J. Comput. Vis. 126(9): 899-901 (2018)- 2017
- [j25]Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach. Int. J. Comput. Vis. 121(1): 149-168 (2017) - [j24]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in Match Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1797-1810 (2017) - [p3]Usman Tariq, José A. Rodríguez-Serrano, Florent Perronnin:
Unsupervised Fisher Vector Adaptation for Re-identification. Domain Adaptation in Computer Vision Applications 2017: 213-225 - 2016
- [j23]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1425-1438 (2016) - [c60]Matthijs Douze, Hervé Jégou, Florent Perronnin:
Polysemous Codes. ECCV (2) 2016: 785-801 - [i10]Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach. CoRR abs/1603.00438 (2016) - [i9]Matthijs Douze, Hervé Jégou, Florent Perronnin:
Polysemous codes. CoRR abs/1609.01882 (2016) - [i8]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in match kernels. CoRR abs/1611.08194 (2016) - 2015
- [j22]José A. Rodríguez-Serrano, Albert Gordo, Florent Perronnin:
Label Embedding: A Frugal Baseline for Text Recognition. Int. J. Comput. Vis. 113(3): 193-207 (2015) - [j21]Luca Marchesotti, Naila Murray, Florent Perronnin:
Discovering Beautiful Attributes for Aesthetic Image Analysis. Int. J. Comput. Vis. 113(3): 246-266 (2015) - [j20]Anthony Bourrier, Florent Perronnin, Rémi Gribonval, Patrick Pérez, Hervé Jégou:
Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels. J. Math. Imaging Vis. 52(3): 459-468 (2015) - [c59]Albert Gordo, Adrien Gaidon, Florent Perronnin:
Deep Fishing: Gradient Features from Deep Nets. BMVC 2015: 111.1-111.12 - [c58]Florent Perronnin, Diane Larlus:
Fisher vectors meet Neural Networks: A hybrid classification architecture. CVPR 2015: 3743-3752 - [c57]Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid:
Local Convolutional Features with Unsupervised Training for Image Retrieval. ICCV 2015: 91-99 - [c56]Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin:
LEWIS: Latent Embeddings for Word Images and Their Semantics. ICCV 2015: 1242-1250 - [i7]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. CoRR abs/1503.08677 (2015) - [i6]David Novotný, Diane Larlus, Florent Perronnin, Andrea Vedaldi:
Understanding the Fisher Vector: a multimodal part model. CoRR abs/1504.04763 (2015) - [i5]Albert Gordo, Adrien Gaidon, Florent Perronnin:
Deep Fishing: Gradient Features from Deep Nets. CoRR abs/1507.06429 (2015) - [i4]Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin:
LEWIS: Latent Embeddings for Word Images and their Semantics. CoRR abs/1509.06243 (2015) - 2014
- [j19]Albert Gordo, Florent Perronnin, Yunchao Gong, Svetlana Lazebnik:
Asymmetric Distances for Binary Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 33-47 (2014) - [j18]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Good Practice in Large-Scale Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 507-520 (2014) - [j17]Philippe Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin:
Revisiting the Fisher vector for fine-grained classification. Pattern Recognit. Lett. 49: 92-98 (2014) - [c55]Naila Murray, Florent Perronnin:
Generalized Max Pooling. CVPR 2014: 2473-2480 - [c54]Mattis Paulin, Jérôme Revaud, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid:
Transformation Pursuit for Image Classification. CVPR 2014: 3646-3653 - [c53]Gabriela Csurka, Boris Chidlovskii, Florent Perronnin:
Domain Adaptation with a Domain Specific Class Means Classifier. ECCV Workshops (3) 2014: 32-46 - [c52]Beilei Xu, Peter Paul, Yusuf Artan, Florent Perronnin:
A machine learning approach to vehicle occupancy detection. ITSC 2014: 1232-1237 - [c51]Josip Krapac, Florent Perronnin, Teddy Furon, Hervé Jégou:
Instance classification with prototype selection. ICMR 2014: 431 - [c50]Yusuf Artan, Peter Paul, Florent Perronnin, Aaron Burry:
Comparison of face detection and image classification for detecting front seat passengers in vehicles. WACV 2014: 1006-1012 - [i3]Naila Murray, Florent Perronnin:
Generalized Max Pooling. CoRR abs/1406.0312 (2014) - [i2]Yangmuzi Zhang, Diane Larlus, Florent Perronnin:
What makes an Image Iconic? A Fine-Grained Case Study. CoRR abs/1408.4325 (2014) - [i1]Luca Marchesotti, Naila Murray, Florent Perronnin:
Discovering beautiful attributes for aesthetic image analysis. CoRR abs/1412.4940 (2014) - 2013
- [j16]Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek:
Image Classification with the Fisher Vector: Theory and Practice. Int. J. Comput. Vis. 105(3): 222-245 (2013) - [j15]Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka:
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2624-2637 (2013) - [j14]Yunchao Gong, Svetlana Lazebnik, Albert Gordo, Florent Perronnin:
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2916-2929 (2013) - [j13]Albert Gordo, Florent Perronnin, Ernest Valveny:
Large-scale document image retrieval and classification with runlength histograms and binary embeddings. Pattern Recognit. 46(7): 1898-1905 (2013) - [c49]Stéphane Clinchant, Florent Perronnin:
Aggregating Continuous Word Embeddings for Information Retrieval. CVSM@ACL 2013: 100-109 - [c48]Gabriela Csurka, Diane Larlus, Florent Perronnin:
What is a good evaluation measure for semantic segmentation?. BMVC 2013 - [c47]Luca Marchesotti, Florent Perronnin:
Learning beautiful (and ugly) attributes. BMVC 2013 - [c46]José A. Rodríguez-Serrano, Florent Perronnin:
Label embedding for text recognition. BMVC 2013 - [c45]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Attribute-Based Classification. CVPR 2013: 819-826 - [c44]Stéphane Clinchant, Florent Perronnin:
Textual Similarity with a Bag-of-Embedded-Words Model. ICTIR 2013: 25 - [p2]Thomas Mensink, Jakob Verbeek, Florent Perronnin:
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. Advanced Topics in Computer Vision 2013: 243-276 - 2012
- [j12]Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin:
Toward automatic and flexible concept transfer. Comput. Graph. 36(6): 622-634 (2012) - [j11]Teófilo Emídio de Campos, Gabriela Csurka, Florent Perronnin:
Images as sets of locally weighted features. Comput. Vis. Image Underst. 116(1): 68-85 (2012) - [j10]Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez, Cordelia Schmid:
Aggregating Local Image Descriptors into Compact Codes. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1704-1716 (2012) - [j9]José A. Rodríguez-Serrano, Florent Perronnin:
A Model-Based Sequence Similarity with Application to Handwritten Word Spotting. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2108-2120 (2012) - [j8]José A. Rodríguez-Serrano, Florent Perronnin:
Synthesizing queries for handwritten word image retrieval. Pattern Recognit. 45(9): 3270-3276 (2012) - [j7]Jorge Sánchez, Florent Perronnin, Teófilo Emídio de Campos:
Modeling the spatial layout of images beyond spatial pyramids. Pattern Recognit. Lett. 33(16): 2216-2223 (2012) - [c43]Naila Murray, Luca Marchesotti, Florent Perronnin:
Learning to rank images using semantic and aesthetic labels. BMVC 2012: 1-10 - [c42]Naila Murray, Luca Marchesotti, Florent Perronnin:
AVA: A large-scale database for aesthetic visual analysis. CVPR 2012: 2408-2415 - [c41]Albert Gordo, José A. Rodríguez-Serrano, Florent Perronnin, Ernest Valveny:
Leveraging category-level labels for instance-level image retrieval. CVPR 2012: 3045-3052 - [c40]Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid:
Towards good practice in large-scale learning for image classification. CVPR 2012: 3482-3489 - [c39]Albert Gordo, Florent Perronnin, Ernest Valveny:
Document Classification Using Multiple Views. Document Analysis Systems 2012: 33-37 - [c38]Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka:
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. ECCV (2) 2012: 488-501 - [c37]José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders:
Data-Driven Vehicle Identification by Image Matching. ECCV Workshops (2) 2012: 536-545 - 2011
- [j6]Gabriela Csurka, Florent Perronnin:
An Efficient Approach to Semantic Segmentation. Int. J. Comput. Vis. 95(2): 198-212 (2011) - [c36]Albert Gordo, Florent Perronnin:
Asymmetric distances for binary embeddings. CVPR 2011: 729-736 - [c35]Jorge Sánchez, Florent Perronnin:
High-dimensional signature compression for large-scale image classification. CVPR 2011: 1665-1672 - [c34]Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka:
Assessing the aesthetic quality of photographs using generic image descriptors. ICCV 2011: 1784-1791 - [c33]Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin:
Towards automatic concept transfer. NPAR 2011: 167-176 - 2010
- [j5]José A. Rodríguez-Serrano, Florent Perronnin, Gemma Sánchez, Josep Lladós:
Unsupervised writer adaptation of whole-word HMMs with application to word-spotting. Pattern Recognit. Lett. 31(8): 742-749 (2010) - [c32]Stéphane Clinchant, Gabriela Csurka, Julien Ah-Pine, Guillaume Jacquet, Florent Perronnin, Jorge Sánchez, Keyvan Minoukadeh:
XRCE's Participation in Wikipedia Retrieval, Medical Image Modality Classification and Ad-hoc Retrieval Tasks of ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c31]Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek:
LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c30]Florent Perronnin, Jorge Sánchez, Yan Liu:
Large-scale image categorization with explicit data embedding. CVPR 2010: 2297-2304 - [c29]Florent Perronnin, Yan Liu, Jorge Sánchez, Hervé Poirier:
Large-scale image retrieval with compressed Fisher vectors. CVPR 2010: 3384-3391 - [c28]Florent Perronnin, Jorge Sánchez, Thomas Mensink:
Improving the Fisher Kernel for Large-Scale Image Classification. ECCV (4) 2010: 143-156 - [c27]Saurabh Kataria, Luca Marchesotti, Florent Perronnin:
Font retrieval on a large scale: An experimental study. ICIP 2010: 2177-2180 - [c26]Albert Gordo, Florent Perronnin:
A Bag-of-Pages Approach to Unordered Multi-page Document Classification. ICPR 2010: 1920-1923 - [c25]Gabriela Csurka, Florent Perronnin, Luca Marchesotti, Stéphane Clinchant, Julien Ah-Pine:
Fisher Kernel Representation of Images and Some of Its Successful Applications. VISAPP (1) 2010: 21-25 - [c24]Gabriela Csurka, Florent Perronnin:
Fisher Vectors: Beyond Bag-of-Visual-Words Image Representations. VISIGRAPP (Selected Papers) 2010: 28-42 - [p1]Julien Ah-Pine, Stéphane Clinchant, Gabriela Csurka, Florent Perronnin, Jean-Michel Renders:
Leveraging Image, Text and Cross-media Similarities for Diversity-focused Multimedia Retrieval. ImageCLEF 2010: 315-342
2000 – 2009
- 2009
- [j4]José A. Rodríguez-Serrano, Florent Perronnin:
Handwritten word-spotting using hidden Markov models and universal vocabularies. Pattern Recognit. 42(9): 2106-2116 (2009) - [c23]Julian J. McAuley, Teófilo Emídio de Campos, Gabriela Csurka, Florent Perronnin:
Hierarchical Image-Region Labeling via Structured Learning. BMVC 2009: 1-11 - [c22]José A. Rodríguez-Serrano, Florent Perronnin, Josep Lladós, Gemma Sánchez:
A similarity measure between vector sequences with application to handwritten word image retrieval. CVPR 2009: 1722-1729 - [c21]Florent Perronnin, Yan Liu:
Modeling images as mixtures of reference images. CVPR 2009: 1770-1777 - [c20]Florent Perronnin, Yan Liu, Jean-Michel Renders:
A family of contextual measures of similarity between distributions with application to image retrieval. CVPR 2009: 2358-2365 - [c19]Florent Perronnin, José A. Rodríguez-Serrano:
Fisher Kernels for Handwritten Word-spotting. ICDAR 2009: 106-110 - [c18]José A. Rodríguez-Serrano, Florent Perronnin:
Handwritten Word Image Retrieval with Synthesized Typed Queries. ICDAR 2009: 351-355 - 2008
- [j3]Florent Perronnin:
Universal and Adapted Vocabularies for Generic Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1243-1256 (2008) - [c17]Gabriela Csurka, Florent Perronnin:
A Simple High Performance Approach to Semantic Segmentation. BMVC 2008: 1-10 - [c16]Yan Liu, Florent Perronnin:
A similarity measure between unordered vector sets with application to image categorization. CVPR 2008 - [c15]Marco Bressan, Claudio Cifarelli, Florent Perronnin:
An analysis of the relationship between painters based on their work. ICIP 2008: 113-116 - [c14]José A. Rodríguez, Florent Perronnin, Gemma Sánchez, Josep Lladós:
Unsupervised writer style adaptation for handwritten word spotting. ICPR 2008: 1-4 - 2007
- [c13]Florent Perronnin, Christopher R. Dance:
Fisher Kernels on Visual Vocabularies for Image Categorization. CVPR 2007 - 2006
- [c12]Gabriela Csurka, Christopher R. Dance, Florent Perronnin, Jutta Willamowski:
Generic Visual Categorization Using Weak Geometry. Toward Category-Level Object Recognition 2006: 207-224 - [c11]Florent Perronnin, Christopher R. Dance, Gabriela Csurka, Marco Bressan:
Adapted Vocabularies for Generic Visual Categorization. ECCV (4) 2006: 464-475 - 2005
- [j2]Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose:
A Probabilistic Model of Face Mapping with Local Transformations and Its Application to Person Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(7): 1157-1171 (2005) - [c10]Gabriela Csurka, Jutta Willamowski, Christopher R. Dance, Florent Perronnin:
Incorporating Geometry Information with Weak Classifiers for Improved Generic Visual Categorization. ICIAP 2005: 612-620 - [c9]Caroline Mallauran, Jean-Luc Dugelay, Florent Perronnin, Christophe Garcia:
Online face detection and user authentication. ACM Multimedia 2005: 219-220 - 2004
- [j1]Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose:
A Probabilistic Model for Face Transformation with Application to Person Identification. EURASIP J. Adv. Signal Process. 2004(4): 510-521 (2004) - [c8]Florent Perronnin, Jean-Luc Dugelay:
Robust score normalization for relational approaches to face authentication. EUSIPCO 2004: 2287-2290 - [c7]Florent Perronnin, Jean-Luc Dugelay:
From turbo hidden Markov models to turbo state-space models [face recognition applications]. ICASSP (3) 2004: 29-32 - 2003
- [c6]Florent Perronnin, Jean-Luc Dugelay:
Discriminative Face Recognition. AVBPA 2003: 446-453 - [c5]Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose:
Iterative decoding of two-dimensional hidden Markov models. ICASSP (3) 2003: 329-332 - [c4]Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose:
Deformable face mapping for person identification. ICIP (1) 2003: 661-664 - 2002
- [c3]Jean-Luc Dugelay, Jean-Claude Junqua, Costas Kotropoulos, Roland Kuhn, Florent Perronnin, Ioannis Pitas:
Recent advances in biometric person authentication. ICASSP 2002: 4060-4063 - 2001
- [c2]Roland Kuhn, Florent Perronnin, Patrick Nguyen, Jean-Claude Junqua, Luca Rigazio:
Very fast adaptation with a compact context-dependent eigenvoice model. ICASSP 2001: 373-376 - [c1]Florent Perronnin, Roland Kuhn, Patrick Nguyen, Jean-Claude Junqua:
Maximum-likelihood training of a bipartite acoustic model for speech recognition. INTERSPEECH 2001: 683-686
Coauthor Index
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