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Author
Title
Year
Publication
Volume
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Y. Patel; Lluis Gomez; Raul Gomez; Marçal Rusiñol; Dimosthenis Karatzas; C.V. Jawahar
TextTopicNet-Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces
2018
Arxiv
Suman Ghosh
Word Spotting and Recognition in Images from Heterogeneous Sources A
2018
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Francisco Cruz; Oriol Ramos Terrades
A probabilistic framework for handwritten text line segmentation
2018
Arxiv
Lei Kang; Marçal Rusiñol; Alicia Fornes; Pau Riba; Mauricio Villegas
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
2020
IEEE Winter Conference on Applications of Computer Vision
Raul Gomez; Jaume Gibert; Lluis Gomez; Dimosthenis Karatzas
Exploring Hate Speech Detection in Multimodal Publications
2020
IEEE Winter Conference on Applications of Computer Vision
Marçal Rusiñol; Lluis Gomez; A. Landman; M. Silva Constenla; Dimosthenis Karatzas
Automatic Structured Text Reading for License Plates and Utility Meters
2019
BMVC Workshop on Visual Artificial Intelligence and Entrepreneurship
Ali Furkan Biten; R. Tito; Andres Mafla; Lluis Gomez; Marçal Rusiñol; M. Mathew; C.V. Jawahar; Ernest Valveny; Dimosthenis Karatzas
ICDAR 2019 Competition on Scene Text Visual Question Answering
2019
3rd Workshop on Closing the Loop Between Vision and Language, in conjunction with ICCV2019
Andres Mafla; Sounak Dey; Ali Furkan Biten; Lluis Gomez; Dimosthenis Karatzas
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features
2020
IEEE Winter Conference on Applications of Computer Vision
Arnau Baro; Alicia Fornes; Carles Badal
Handwritten Historical Music Recognition by Sequence-to-Sequence with Attention Mechanism
2020
17th International Conference on Frontiers in Handwriting Recognition
Alicia Fornes; Josep Llados; Joana Maria Pujadas-Mora
Browsing of the Social Network of the Past: Information Extraction from Population Manuscript Images
2020
Handwritten Historical Document Analysis, Recognition, and Retrieval – State of the Art and Future Trends
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