All Outputs (2)

A new deep CNN for 3D text localization in the wild through shadow removal (2023)
Journal Article
Shivakumara, P., Banerjee, A., Nandanwar, L., Pal, U., Antonacopoulos, A., Lu, T., & Blumenstein, M. (2024). A new deep CNN for 3D text localization in the wild through shadow removal. Computer Vision and Image Understanding, 238, https://doi.org/10.1016/j.cviu.2023.103863

Text localization in the wild is challenging due to the presence of 2D and 3D texts, the presence of shadows, arbitrary orientated text with non-linear arrangements, varying lighting conditions as well as complex background. This paper proposes the f... Read More about A new deep CNN for 3D text localization in the wild through shadow removal.

NAME – A Rich XML Format for Named Entity and Relation Tagging (2023)
Conference Proceeding
Clausner, C., Pletschacher, S., & Antonacopoulos, A. (2023). NAME – A Rich XML Format for Named Entity and Relation Tagging. In HIP '23: Proceedings of the 7th International Workshop on Historical Document Imaging and Processing (91-96). https://doi.org/10.1145/3604951.3605521

We present NAME XML, a schema for named entities and relations in documents. The standout features are: option to reference a variety of document formats (such as PAGE XML or plain text), support of entity hierarchies, custom entity types via ontolog... Read More about NAME – A Rich XML Format for Named Entity and Relation Tagging.