Pau Riba

About Pau Riba

Pau Riba, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidad Autónoma de Barcelona, specializes in the field of Graph Matching, Structural Pattern Recognition, Computer Vision, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Musigraph: Optical Music Recognition Through Object Detection and Graph Neural Network

Pay attention to what you read: non-recurrent handwritten text-line recognition

Table detection in business document images by message passing networks

Learning graph edit distance by graph neural networks

Content and style aware generation of text-line images for handwriting recognition

Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild

Graph-Based Deep Generative Modelling for Document Layout Generation

Docsynth: A layout guided approach for controllable document image synthesis

Pau Riba Information

University

Position

Computer Vision Center

Citations(all)

1093

Citations(since 2020)

1015

Cited By

271

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

22

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Pau Riba Skills & Research Interests

Graph Matching

Structural Pattern Recognition

Computer Vision

Deep Learning

Top articles of Pau Riba

Musigraph: Optical Music Recognition Through Object Detection and Graph Neural Network

2022/11/25

Pau Riba
Pau Riba

H-Index: 9

Pay attention to what you read: non-recurrent handwritten text-line recognition

Pattern Recognition

2022/9/1

Table detection in business document images by message passing networks

Pattern Recognition

2022/7/1

Learning graph edit distance by graph neural networks

Pattern Recognition

2021/12/1

Content and style aware generation of text-line images for handwriting recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/10/26

Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild

arXiv preprint arXiv:2109.11874

2021/9/24

Graph-Based Deep Generative Modelling for Document Layout Generation

2021/9/2

Docsynth: A layout guided approach for controllable document image synthesis

2021/9/2

Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting

2021/9/2

Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach

2021/9/2

Beyond document object detection: instance-level segmentation of complex layouts

International Journal on Document Analysis and Recognition (IJDAR)

2021/9

Candidate fusion: Integrating language modelling into a sequence-to-sequence handwritten word recognition architecture

Pattern Recognition

2021/4/1

Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents

2021/1/10

Distilling Content from Style for Handwritten Word Recognition

2020/9/8

GANwriting: content-conditioned generation of styled handwritten word images

2020/8/23

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

Neural Computing and Applications

2020/8

Hierarchical graphs for coarse-to-fine error tolerant matching

Pattern Recognition Letters

2020/6/1

Pau Riba
Pau Riba

H-Index: 9

Josep Lladós
Josep Lladós

H-Index: 25

Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition

2020

See List of Professors in Pau Riba University(Universidad Autónoma de Barcelona)

Co-Authors

academic-engine