Exploració per autor "Sabir, Ahmed"
Ara es mostren els items 1-6 de 6
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Enhancing scene text recognition with visual context information
(Universitat Politècnica de Catalunya, 2020-11-10)
Tesi
Accés obertThis thesis addresses the problem of improving text spotting systems, which aim to detect and recognize text in unrestricted images (e.g. a street sign, an advertisement, a bus destination, etc.). The goal is to improve ... -
Enhancing text spotting with a language model and visual context information
(IOS Press, 2018)
Text en actes de congrés
Accés obertThis paper addresses the problem of detecting and recognizing text in images acquired ‘in the wild’. This is a severely under-constrained problem which needs to tackle a number of challenges including large occlusions, ... -
Semantic relatedness based re-ranker for text spotting
(2019)
Comunicació de congrés
Accés obertApplications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based ... -
Textual visual semantic dataset for text spotting
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertText Spotting in the wild consists of detecting and recognizing text appearing in images (e.g. signboards, traffic signals or brands in clothing or objects). This is a challenging problem due to the complexity of the context ... -
Visual re-ranking with natural language understanding for text spotting
(2018)
Comunicació de congrés
Accés obertMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text. In this paper, we tackle this problem from natural language processing perspective to ... -
Visual semantic re-ranker for text spotting
(2018)
Text en actes de congrés
Accés obertMany current state-of-the-art methods for text recognition are based on purely local information and ignore the semantic corre- lation between text and its surrounding visual context. In this paper, we propose a post-processing ...
