Browsing by Author "Sabir, Ahmed"

Now showing items 1-6 of 6

    • Enhancing scene text recognition with visual context information 

      Sabir, Ahmed (Universitat Politècnica de Catalunya, 2020-11-10)
      Doctoral thesis
      Open Access
      This 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 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (IOS Press, 2018)
      Conference report
      Open Access
      This 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 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2019)
      Conference lecture
      Open Access
      Applications 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 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      Text 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 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2018)
      Conference lecture
      Open Access
      Many 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 

      Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2018)
      Conference report
      Open Access
      Many 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 ...