no code implementations • 29 Jan 2024 • Till Grutschus, Ola Karrar, Emir Esenov, Ekta Vats
The results are promising for real-time application, and the falls are detected on video level with a state-of-the-art 0. 96 F1 score on the HQFSD dataset under the given experimental settings.
2 code implementations • 10 Mar 2023 • Liang Cheng, Jonas Frankemölle, Adam Axelsson, Ekta Vats
The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition.
no code implementations • 24 Jan 2022 • Raphaela Heil, Ekta Vats, Anders Hast
Transcribing struck-through, handwritten words, for example for the purpose of genetic criticism, can pose a challenge to both humans and machines, due to the obstructive properties of the superimposed strokes.
1 code implementation • 23 Jan 2022 • Dmitrijs Kass, Ekta Vats
This work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems.
no code implementations • 11 Dec 2017 • Prashant Singh, Ekta Vats, Anders Hast
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document.
no code implementations • 22 Nov 2017 • Anders Hast, Per Cullhed, Ekta Vats
This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription.
no code implementations • 6 Sep 2017 • Ekta Vats, Anders Hast
The performance of information retrieval algorithms depends upon the availability of ground truth labels annotated by experts.
no code implementations • 6 Sep 2017 • Ekta Vats, Anders Hast, Prashant Singh
Document image binarization is often a challenging task due to various forms of degradation.
no code implementations • 6 Sep 2017 • Anders Hast, Ekta Vats
Automatic recognition of historical handwritten manuscripts is a daunting task due to paper degradation over time.
no code implementations • 1 Dec 2014 • Chern Hong Lim, Ekta Vats, Chee Seng Chan
Human Motion Analysis (HMA) is currently one of the most popularly active research domains as such significant research interests are motivated by a number of real world applications such as video surveillance, sports analysis, healthcare monitoring and so on.