| 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 …, 2013 | 2786 | 2013 |
| Deep Image Retrieval: Learning Global Representations for Image Search A Gordo, J Almazan, J Revaud, D Larlus European Conference on Computer Vision, 241-257, 2016 | 817 | 2016 |
| Decoupling representation and classifier for long-tailed recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis arXiv preprint arXiv:1910.09217, 2019 | 629 | 2019 |
| Word spotting and recognition with embedded attributes J Almazán, A Gordo, A Fornés, E Valveny IEEE transactions on pattern analysis and machine intelligence 36 (12), 2552 …, 2014 | 547 | 2014 |
| End-to-end learning of deep visual representations for image retrieval A Gordo, J Almazan, J Revaud, D Larlus International Journal of Computer Vision 124 (2), 237-254, 2017 | 514 | 2017 |
| Rosetta: Large scale system for text detection and recognition in images F Borisyuk, A Gordo, V Sivakumar Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 235 | 2018 |
| Asymmetric distances for binary embeddings A Gordo, F Perronnin, Y Gong, S Lazebnik IEEE transactions on pattern analysis and machine intelligence 36 (1), 33-47, 2013 | 166 | 2013 |
| Supervised mid-level features for word image representation A Gordo Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 126 | 2015 |
| Learning global additive explanations for neural nets using model distillation S Tan, R Caruana, G Hooker, P Koch, A Gordo | 122 | 2018 |
| CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal A Fornés, A Dutta, A Gordo, J Lladós International Journal on Document Analysis andRecognition 15 (3), 243, 2012 | 116 | 2012 |
| Label embedding: A frugal baseline for text recognition JA Rodriguez-Serrano, A Gordo, F Perronnin International Journal of Computer Vision 113, 193-207, 2015 | 113 | 2015 |
| Segmentation-free word spotting with exemplar SVMs J Almazán, A Gordo, A Fornés, E Valveny Pattern Recognition 47 (12), 3967-3978, 2014 | 105 | 2014 |
| Using hindsight to anchor past knowledge in continual learning A Chaudhry, A Gordo, P Dokania, P Torr, D Lopez-Paz Proceedings of the AAAI conference on artificial intelligence 35 (8), 6993-7001, 2021 | 99 | 2021 |
| Beyond instance-level image retrieval: Leveraging captions to learn a global visual representation for semantic retrieval A Gordo, D Larlus Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 88 | 2017 |
| Leveraging Category-Level Labels For Instance-Level Image Retrieval A Gordo, JA Rodrıguez-Serrano, F Perronnin, E Valveny Computer Vision and Pattern Recognition, 2012 | 82 | 2012 |
| Similarity-based detection of prominent objects using deep CNN pooling layers as features JA Rodríguez-Serrano, AG Soldevila US Patent 9,767,381, 2017 | 81 | 2017 |
| Efficient Exemplar Word Spotting J Almazán, A Gordo, A Fornés, E Valveny British Machine Vision Conference, 2012 | 80 | 2012 |
| Handwritten word spotting with corrected attributes J Almazan, A Gordo, A Fornés, E Valveny Proceedings of the IEEE International Conference on Computer Vision, 1017-1024, 2013 | 74 | 2013 |
| Latent embeddings for word images and their semantics AG Soldevila, JA Almazán, N Murray, FC Perronnin US Patent 10,635,949, 2020 | 72 | 2020 |
| Retrieval system and method leveraging category-level labels A Gordo, JAR Serrano, F Perronnin US Patent 9,075,824, 2015 | 62 | 2015 |
Florent PerronninNaver Labs EuropeEmail confirmado em naverlabs.com
