A major limitation to most state-of-the-art visual localization methods is their ineptitude to
make use of ubiquitous signs and directions that are typically intuitive to humans …

Motivated by the need to leverage technologies to enhance the preservation, accessibility,
quantitative data analysis, and valorization of Dance Heritage, this work introduces DanXe …

Accurate and efficient text detection in natural scenes is a fundamental yet challenging task
in computer vision, especially when dealing with arbitrarily-oriented texts. Most …

Text detection and segmentation in natural scene images is an active research problem in
computer vision and document analysis. Unlike scanned documents, scene text exhibits …

Recent text detection frameworks require several handcrafted components such as anchor
generation, non-maximum suppression (NMS), or multiple processing stages (eg label …

Positional Encoding (PE) plays a vital role in a Transformer's ability to capture the order of
sequential information, allowing it to overcome the permutation equivarience property …

This work explores a closure task in comics, a medium where visual and textual elements
are intricately intertwined. Specifically, text-cloze refers to the task of selecting the correct …

Due to the emergence and advancement of deep learning technologies, scene text
detection is becoming more widespread in various fields. However, due to the complexity of …

The performance of existing deep-learning scene text recognition-based methods fails
significantly on occluded text instances or even partially occluded characters in a text due to …

Optical character recognition is a primary technology required in different fields, including
digitizing archival documents, industrial automation, automatic driving, video analytics …