Sanket Biswas

Orcid: 0000-0001-6648-8270

According to our database1, Sanket Biswas authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation.
CoRR, 2024

Synthetic dataset of ID and Travel Document.
CoRR, 2024

Beyond Document Page Classification: Design, Datasets, and Challenges.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
The Common Optical Music Recognition Evaluation Framework.
CoRR, 2023

Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes.
CoRR, 2023

TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language.
CoRR, 2023

Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

Can Pre-trained Language Models Help in Understanding Handwritten Symbols?
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

SelfDocSeg: A Self-supervised Vision-Based Approach Towards Document Segmentation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE).
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement.
CoRR, 2022

DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer.
CoRR, 2022

DocEnTr: An End-to-End Document Image Enhancement Transformer.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts.
Proceedings of the Frontiers in Handwriting Recognition - 18th International Conference, 2022

Doc2Graph: A Task Agnostic Document Understanding Framework Based on Graph Neural Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Beyond document object detection: instance-level segmentation of complex layouts.
Int. J. Document Anal. Recognit., 2021

Graph-Based Deep Generative Modelling for Document Layout Generation.
Proceedings of the Document Analysis and Recognition, 2021

DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2018
Fault Area Detection in Leaf Diseases using k-means Clustering.
CoRR, 2018

A Statistical Approach to Adult Census Income Level Prediction.
CoRR, 2018

2017
Prediction of Diabetes Type-II Using a Two-Class Neural Network.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017


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