activity
20172021
most citedSequence-to-Label Script Identification for Multilingual OCR

4 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Chen-Yu Lee, Chun-Liang Li, Chu Wang +5

Natural reading orders of words are crucial for information extraction from form-like documents. Despite recent advances in Graph Convolutional Networks (GCNs) on modeling spatial…

cs.CV2021★ 1 cited

Post-OCR Paragraph Recognition by Graph Convolutional Networks

Renshen Wang, Yasuhisa Fujii, Ashok C. Popat

We propose a new approach for paragraph recognition in document images by spatial graph convolutional networks (GCN) applied on OCR text boxes. Two steps, namely line splitting and…

cs.SD2019

Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision

Aren Jansen, Daniel P. W. Ellis, Shawn Hershey +4

Humans do not acquire perceptual abilities in the way we train machines. While machine learning algorithms typically operate on large collections of randomly-chosen, explicitly-lab…

cs.CV2019

A Scalable Handwritten Text Recognition System

R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers +2

Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR cap…

cs.CV2017★ 4 cited

Sequence-to-Label Script Identification for Multilingual OCR

Yasuhisa Fujii, Karel Driesen, Jonathan Baccash +2

We describe a novel line-level script identification method. Previous work repurposed an OCR model generating per-character script codes, counted to obtain line-level script identi…