1 code implementation • 25 Oct 2023 • Shangbang Long, Siyang Qin, Yasuhisa Fujii, Alessandro Bissacco, Michalis Raptis
We propose Hierarchical Text Spotter (HTS), a novel method for the joint task of word-level text spotting and geometric layout analysis.
1 code implementation • 16 May 2023 • Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
We organize a competition on hierarchical text detection and recognition.
no code implementations • 4 May 2023 • Renshen Wang, Yasuhisa Fujii, Alessandro Bissacco
Text reading order is a crucial aspect in the output of an OCR engine, with a large impact on downstream tasks.
2 code implementations • CVPR 2022 • Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis
In this paper, we bring them together and introduce the task of unified scene text detection and layout analysis.
no code implementations • 15 Apr 2021 • Daniel Hernandez Diaz, Siyang Qin, Reeve Ingle, Yasuhisa Fujii, Alessandro Bissacco
Unlike the more common Transformer-based models, this architecture can handle inputs of arbitrary length, a requirement for universal line recognition.
Ranked #2 on Handwritten Text Recognition on IAM (using extra training data)
no code implementations • ICCV 2019 • Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao
We propose an end-to-end trainable network that can simultaneously detect and recognize text of arbitrary shape, making substantial progress on the open problem of reading scene text of irregular shape.
Instance Segmentation Optical Character Recognition (OCR) +3