Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anukriti Bansal"'
Publikováno v:
Concurrency and Computation: Practice and Experience. 35
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031281822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82296778a1d6c5cc65cd347191be4747
https://doi.org/10.1007/978-3-031-28183-9_45
https://doi.org/10.1007/978-3-031-28183-9_45
Publikováno v:
2022 IEEE 7th International conference for Convergence in Technology (I2CT).
Autor:
Vikas Bajpai, Anukriti Bansal, Ramit Agarwal, Shashwat Kumar, Namit Bhandari, Shivam Kejriwal
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789811691126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c064fa59921a93f049b38f19dd9cf7a4
https://doi.org/10.1007/978-981-16-9113-3_59
https://doi.org/10.1007/978-981-16-9113-3_59
Autor:
Vikas Bajpai, Anukriti Bansal
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030960391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a0dff177c1c7272544023eaba02d25
https://doi.org/10.1007/978-3-030-96040-7_38
https://doi.org/10.1007/978-3-030-96040-7_38
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 Workshops ISBN: 9783030861582
ICDAR Workshops (2)
ICDAR Workshops (2)
In this work, we propose an end-to-end language agnostic multi-task learning based U-Net framework for performing text block segmentation and baseline detection in document images. We leverage the performance of U-Net by augmenting attention layers b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d364661510e24f71420d6b6870cbdddf
https://doi.org/10.1007/978-3-030-86159-9_32
https://doi.org/10.1007/978-3-030-86159-9_32
Publikováno v:
ICVGIP
The paper presents a novel learning-based framework to identify tables from scanned document images. The approach is designed as a structured labeling problem, which learns the layout of the document and labels its various entities as table header, t
Publikováno v:
Document Analysis Systems
This paper presents a novel learning based framework to extract articles from newspaper images using a Fixed-Point Model. The input to the system comprises blocks of text and graphics, obtained using standard image processing techniques. The fixed po
Publikováno v:
MOCR@ICDAR
Digitization of newspaper article is important for registering historical events. Layout analysis of Indian newspaper is a challenging task due to the presence of different font size, font styles and random placement of text and non-text regions. In