181 citations · 345 across the 10 of their papers we have counts for
13 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…
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
Pau Riba, Sounak Dey, Ali Furkan Biten +1
This work investigates the problem of sketch-guided object localization (SGOL), where human sketches are used as queries to conduct the object localization in natural images. In th…
Graph-based Deep Generative Modelling for Document Layout Generation
Sanket Biswas, Pau Riba, Josep Lladós +1
One of the major prerequisites for any deep learning approach is the availability of large-scale training data. When dealing with scanned document images in real world scenarios, t…
DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
Sanket Biswas, Pau Riba, Josep Lladós +1
Despite significant progress on current state-of-the-art image generation models, synthesis of document images containing multiple and complex object layouts is a challenging task.…
Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
Adrià Molina, Pau Riba, Lluis Gomez +2
This paper presents a novel method for date estimation of historical photographs from archival sources. The main contribution is to formulate the date estimation as a retrieval tas…
Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
Pau Riba, Adrià Molina, Lluis Gomez +2
In this paper, we explore and evaluate the use of ranking-based objective functions for learning simultaneously a word string and a word image encoder. We consider retrieval framew…
Learning Graph Edit Distance by Graph Neural Networks
Pau Riba, Andreas Fischer, Josep Lladós +1
The emergence of geometric deep learning as a novel framework to deal with graph-based representations has faded away traditional approaches in favor of completely new methodologie…
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…
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…
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval
Sounak Dey, Pau Riba, Anjan Dutta +2
In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-SBIR), where human sketches are used as queries to conduct retrieval of photos from unseen c…
Hierarchical stochastic graphlet embedding for graph-based pattern recognition
Anjan Dutta, Pau Riba, Josep Lladós +1
Despite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable because of the lack of mathematical operations d…