Recently visually-situated text parsing (VsTP) has experienced notable advancements
driven by the increasing demand for automated document understanding and the …

In recent years text-image joint pre-training techniques have shown promising results in
various tasks. However in Optical Character Recognition (OCR) tasks aligning text instances …

In this paper we present a novel sequence generation-based framework for lane detection
called Lane2Seq. It unifies various lane detection formats by casting lane detection as a …

Reading text from images (either natural scenes or documents) has been a long-standing
research topic for decades, due to the high technical challenge and wide application range …

More and more end-to-end text spotting methods based on Transformer architecture have
demonstrated superior performance. These methods utilize a bipartite graph matching …

Text on historical maps contains valuable information providing georeferenced historical,
political, and cultural contexts. However, text extraction from historical maps has been …

Abstract We propose Hierarchical Text Spotter (HTS), a novel method for the joint task of
word-level text spotting and geometric layout analysis. HTS can recognize text in an image …

Modularity plays a crucial role in the development and maintenance of complex systems.
While end-to-end text spotting efficiently mitigates the issues of error accumulation and sub …

Inspired by the great success of language model (LM)-based pre-training, recent studies in
visual document understanding have explored LM-based pre-training methods for modeling …

Power efficiency for license plate recognition (LPR) under unconstrained scenarios is a
crucial factor in many edge-based real-world applications, eg, autonomous vehicles whose …