| Big transfer (bit): General visual representation learning A Kolesnikov, L Beyer, X Zhai, J Puigcerver, J Yung, S Gelly, N Houlsby Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 851* | 2020 |
| Are multidimensional recurrent layers really necessary for handwritten text recognition? J Puigcerver 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 247 | 2017 |
| A large-scale study of representation learning with the visual task adaptation benchmark X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ... arXiv preprint arXiv:1910.04867, 2019 | 189* | 2019 |
| Scaling vision with sparse mixture of experts C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ... Advances in Neural Information Processing Systems 34, 8583-8595, 2021 | 144 | 2021 |
| On robustness and transferability of convolutional neural networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 93 | 2021 |
| Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study G Muehlberger, L Seaward, M Terras, SA Oliveira, V Bosch, M Bryan, ... Journal of documentation, 2019 | 84 | 2019 |
| ICFHR2016 handwritten keyword spotting competition (H-KWS 2016) I Pratikakis, K Zagoris, B Gatos, J Puigcerver, AH Toselli, E Vidal 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 60 | 2016 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 57 | 2022 |
| Preparatory KWS experiments for large-scale indexing of a vast medieval manuscript collection in the HIMANIS project T Bluche, S Hamel, C Kermorvant, J Puigcerver, D Stutzmann, AH Toselli, ... 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 48 | 2017 |
| ICDAR2015 competition on keyword spotting for handwritten documents J Puigcerver, AH Toselli, E Vidal 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 48 | 2015 |
| Scalable transfer learning with expert models J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ... arXiv preprint arXiv:2009.13239, 2020 | 37 | 2020 |
| A probabilistic formulation of keyword spotting J Puigcerver PhD thesis, 2018 | 31 | 2018 |
| Probabilistic indexing and search for information extraction on handwritten German parish records E Lang, J Puigcerver, AH Toselli, E Vidal 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 29 | 2018 |
| Probabilistic multi-word spotting in handwritten text images AH Toselli, E Vidal, J Puigcerver, E Noya-García Pattern Analysis and Applications 22, 23-32, 2019 | 21 | 2019 |
| Querying out-of-vocabulary words in lexicon-based keyword spotting J Puigcerver, AH Toselli, E Vidal Neural Computing and Applications 28, 2373-2382, 2017 | 21 | 2017 |
| Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. M Villegas, J Puigcerver, AH Toselli, JA Sánchez, E Vidal CLEF (Working Notes), 233-253, 2016 | 19 | 2016 |
| High performance query-by-example keyword spotting using query-by-string techniques E Vidal, AH Toselli, J Puigcerver 2015 13th International conference on document analysis and recognition …, 2015 | 19 | 2015 |
| Multimodal contrastive learning with limoe: the language-image mixture of experts B Mustafa, C Riquelme, J Puigcerver, R Jenatton, N Houlsby arXiv preprint arXiv:2206.02770, 2022 | 17 | 2022 |
| Two methods to improve confidence scores for lexicon-free word spotting in handwritten text AH Toselli, J Puigcerver, E Vidal 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 17 | 2016 |
| Word-Graph and Character-Lattice Combination for KWS in Handwritten Documents J Puigcerver, AH Toselli, E Vidal International Conference on Frontiers in Handwriting Recognition, 181-186, 2014 | 17 | 2014 |
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