Sanket Biswas

About Sanket Biswas

Sanket Biswas, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Universidad Autónoma de Barcelona, specializes in the field of Computer Vision, Pattern Recognition, Machine Learning, Document Understanding, Vision and Language.

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

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

Synthetic dataset of ID and Travel Document

Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance

Beyond document page classification: Design, datasets, and challenges

Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes

TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE)

SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation

Sanket Biswas Information

University

Position

Computer Vision Center

Citations(all)

359

Citations(since 2020)

353

Cited By

51

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Sanket Biswas Skills & Research Interests

Computer Vision

Pattern Recognition

Machine Learning

Document Understanding

Vision and Language

Top articles of Sanket Biswas

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

arXiv preprint arXiv:2402.11401

2024/2/17

Synthetic dataset of ID and Travel Document

arXiv preprint arXiv:2401.01858

2024/1/3

Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance

2024

Beyond document page classification: Design, datasets, and challenges

2024

Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes

arXiv preprint arXiv:2310.00558

2023/10/1

TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language

arXiv preprint arXiv:2309.05756

2023/9/11

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE)

2023/8/19

SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation

2023/8/19

SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation

2023/8/19

Can Pre-trained Language Models Help in Understanding Handwritten Symbols?

2023/8/15

Sanket Biswas
Sanket Biswas

H-Index: 4

Josep Lladós
Josep Lladós

H-Index: 25

Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images

2023/8/15

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement

proceedings of the AAAI conference on artificial intelligence

2023/6/26

The Common Optical Music Recognition Evaluation Framework

arXiv preprint arXiv:2312.12908

2023/12/20

Sanket Biswas
Sanket Biswas

H-Index: 4

SemiDocSeg: Harnessing Semi-Supervised Learning for Document Layout Analysis

2023/11/17

A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts

2022/11/25

Doc2Graph: a task agnostic document understanding framework based on graph neural networks

2022/10/23

DocEnTr: An end-to-end document image enhancement transformer

2022/8/21

DocSegTr: an instance-level end-to-end document image segmentation transformer

arXiv preprint arXiv:2201.11438

2022/1/27

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

See List of Professors in Sanket Biswas University(Universidad Autónoma de Barcelona)

Co-Authors

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