Instance GNN: a learning framework for joint symbol segmentation and recognition in online handwritten diagrams
Online handwritten diagram recognition (OHDR) has attracted considerable attention for its
potential applications in many areas, but it is a challenging task due to the complex 2D …
potential applications in many areas, but it is a challenging task due to the complex 2D …
Page segmentation using convolutional neural network and graphical model
Page segmentation of document images remains a challenge due to complex layout and
heterogeneous image contents. Existing deep learning based methods usually follow the …
heterogeneous image contents. Existing deep learning based methods usually follow the …
Hierarchical recurrent neural network for handwritten strokes classification
I Degtyarenko, I Deriuga, A Grygoriev… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
The paper presents an original solution to the online handwritten document processing in a
free form, which is aimed at separating multi-class handwritten documents into texts, tables …
free form, which is aimed at separating multi-class handwritten documents into texts, tables …
Laser: Light, accurate sharing detection and repair
Contention for shared memory, in the forms of true sharing and false sharing, is a
challenging performance bug to discover and to repair. Understanding cache contention …
challenging performance bug to discover and to repair. Understanding cache contention …
Contextual stroke classification in online handwritten documents with graph attention networks
Classifying strokes into different categories is an essential preprocessing step in the
automatic document understanding process. To tackle this task, it is crucial to integrate …
automatic document understanding process. To tackle this task, it is crucial to integrate …
Transformer-based stroke relation encoding for online handwriting and sketches
Stroke classification for online handwriting and sketches, aimed at grou** strokes into
different semantic categories, has drawn considerable attention due to its wide applications …
different semantic categories, has drawn considerable attention due to its wide applications …
Joint stroke classification and text line grou** in online handwritten documents with edge pooling attention networks
Stroke classification and text line grou** are important tasks in online handwritten
document segmentation. In the past, the two tasks were usually performed using different …
document segmentation. In the past, the two tasks were usually performed using different …
A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke Classification
Stroke classification is important to the layout analysis of online handwritten documents. Due
to the diversity of writing styles and the complexity of layout structure, stroke classification is …
to the diversity of writing styles and the complexity of layout structure, stroke classification is …
IAMonSense: multi-level handwriting classification using spatiotemporal information
Online handwriting classification has become an open research problem as it serves as a
preliminary step for handwriting recognition systems and applications in several other fields …
preliminary step for handwriting recognition systems and applications in several other fields …
Data augmentation of engineering drawings for data-driven component segmentation
We present a new data generation method to facilitate an automatic machine interpretation
of 2D engineering part drawings. While such drawings are a common medium for clients to …
of 2D engineering part drawings. While such drawings are a common medium for clients to …