64 citations · 138 across the 7 of their papers we have counts for
7 papers
Content and Style Aware Generation of Text-line Images for Handwriting Recognition
Lei Kang, Pau Riba, Marçal Rusiñol +2
Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, su…
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition
Lei Kang, Pau Riba, Marçal Rusiñol +2
The advent of recurrent neural networks for handwriting recognition marked an important milestone reaching impressive recognition accuracies despite the great variability that we o…
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Lei Kang, Pau Riba, Yaxing Wang +3
Although current image generation methods have reached impressive quality levels, they are still unable to produce plausible yet diverse images of handwritten words. On the contrar…
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture
Lei Kang, Pau Riba, Mauricio Villegas +2
Sequence-to-sequence models have recently become very popular for tackling handwritten word recognition problems. However, how to effectively integrate an external language model i…
A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
Manuel Carbonell, Alicia Fornés, Mauricio Villegas +1
In the last years, the consolidation of deep neural network architectures for information extraction in document images has brought big improvements in the performance of each of t…
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
Lei Kang, Marçal Rusiñol, Alicia Fornés +2
Handwritten Text Recognition (HTR) is still a challenging problem because it must deal with two important difficulties: the variability among writing styles, and the scarcity of la…
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
Manuel Carbonell, Mauricio Villegas, Alicia Fornés +1
When extracting information from handwritten documents, text transcription and named entity recognition are usually faced as separate subsequent tasks. This has the disadvantage th…