| ICDAR 2013 robust reading competition D Karatzas, F Shafait, S Uchida, M Iwamura, LG i Bigorda, SR Mestre, ... 2013 12th international conference on document analysis and recognition …, 2013 | 1639 | 2013 |
| Deep image retrieval: Learning global representations for image search A Gordo, J Almazán, J Revaud, D Larlus Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1019 | 2016 |
| 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 | 669 | 2017 |
| 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 | 669 | 2014 |
| Learning with average precision: Training image retrieval with a listwise loss J Revaud, J Almazán, RS Rezende, CR Souza Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 475 | 2019 |
| Latent embeddings for word images and their semantics AG Soldevila, JA Almazán, N Murray, FC Perronnin US Patent 10,635,949, 2020 | 133 | 2020 |
| Re-id done right: towards good practices for person re-identification J Almazan, B Gajic, N Murray, D Larlus arXiv preprint arXiv:1801.05339, 2018 | 121 | 2018 |
| Segmentation-free word spotting with exemplar SVMs J Almazán, A Gordo, A Fornés, E Valveny Pattern recognition 47 (12), 3967-3978, 2014 | 117 | 2014 |
| Efficient Exemplar Word Spotting J Almazán, A Gordo, A Fornés, E Valveny, DC de la Computació British Machine Vision Conference, 2012 | 92 | 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 | 84 | 2013 |
| Bh2m: The barcelona historical, handwritten marriages database D Fernández-Mota, J Almazán, N Cirera, A Fornés, J Lladós 2014 22nd International Conference on Pattern Recognition, 256-261, 2014 | 69 | 2014 |
| Coarse-to-fine cascade adaptations for license plate recognition with convolutional neural networks AG Soldevila, J Almazan US Patent 9,785,855, 2017 | 54 | 2017 |
| Training and using a convolutional neural network for person re-identification J Almazan, B Gajic, N Murray, D Larlus-Larrondo US Patent 11,138,469, 2021 | 42 | 2021 |
| Instance-level image retrieval with a region proposal network AG Soldevila, J Almazan, J Revaud, D Larlus-Larrondo US Patent 10,678,846, 2020 | 33 | 2020 |
| LEWIS: latent embeddings for word images and their semantics A Gordo, J Almazán, N Murray, F Perronin Proceedings of the IEEE International Conference on Computer Vision, 1242-1250, 2015 | 33 | 2015 |
| Deformable hog-based shape descriptor J Almazán, A Fornés, E Valveny 2013 12th International Conference on Document Analysis and Recognition …, 2013 | 30 | 2013 |
| What is the right way to represent document images? G Csurka, D Larlus, A Gordo, J Almazan arXiv preprint arXiv:1603.01076, 2016 | 28 | 2016 |
| A coarse-to-fine approach for handwritten word spotting in large scale historical documents collection J Almazán, D Fernandez, A Fornés, J Lladós, E Valveny 2012 International Conference on Frontiers in Handwriting Recognition, 455-460, 2012 | 24 | 2012 |
| A Non-Rigid Feature Extraction Method for Shape Recognition A Fornes, E Valveny Document Analysis and Recognition (ICDAR), 2011 International Conference on …, 2011 | 24* | 2011 |
| A keyword spotting approach using blurred shape model-based descriptors A Fornés, V Frinken, A Fischer, J Almazán, G Jackson, H Bunke Proceedings of the 2011 workshop on historical document imaging and …, 2011 | 23 | 2011 |
Diane LarlusNAVER LABS EuropeEmail được xác minh tại naverlabs.com