64 citations · 88 across the 6 of their papers we have counts for
12 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…
RoadText-1K: Text Detection & Recognition Dataset for Driving Videos
Sangeeth Reddy, Minesh Mathew, Lluis Gomez +3
Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical requirement to build intelligent systems for driver assistance and self-driving. Most 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…
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…
ICDAR 2019 Competition on Scene Text Visual Question Answering
Ali Furkan Biten, Rubèn Tito, Andres Mafla +6
This paper presents final results of ICDAR 2019 Scene Text Visual Question Answering competition (ST-VQA). ST-VQA introduces an important aspect that is not addressed by any Visual…