Tahira Shehzadi

E-Mail:	Tahira.Shehzadi@dfki.de
Position:	Researcher

About:

Tahira Shehzadi received her bachelor’s degree in electrical engineering from University of Engineering and Technology Lahore, Pakistan and the M.S. degree in computer science from Pakistan Institute of Engineering and Applied Sciences, Pakistan. She is currently pursuing a PhD degree with the German Research Center for Artificial Intelligence (DFKI GmbH) and the Technical University of Kaiserslautern, under the supervision of Dr Didier Stricker. Her research interests include deep learning for computer vision, specifically in 3D reconstruction.

8 Publications by Tahira Shehzadi:

UnSupDLA: Towards Unsupervised Document Layout Analysis
Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
In: International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-2024), August 29 - September 4, Springer, Athens, Greece, 8/2024.
Details | Link 1

Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
Muhammad Saif Ullah Khan, Tahira Shehzadi, Rabeya Noor, Didier Stricker, Muhammad Zeshan Afzal
In: IAPR International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-2024), August 29 - September 4, Greece, Springer, 8/2024.
Details | Link 1

End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents
Iqraa Ehsan, Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal
In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 1, Pages 1-15, Springer, 2024, Athens, Greece, 9/2024.
Details | Link 1

Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer
Tahira Shehzadi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal
In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), Athens, Greece, No. 1-15, Springer, 2024, 2024.
Details | Link 1

A Hybrid Approach for Document Layout Analysis in Document images
Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal
In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), 18th International Conference on Document Analysis and Recognition, August 30 - September 4, Athen, Greece, Pages 1-15, Springer Lecture Notes in Computer Science (LNCS), Springer Nature, Switzerland, 9/2024.
Details | Link 1

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. International Conference on Computer Vision and Pattern Recognition (CVPR-2024), June 17-21, Seattle, WA, USA, IEEE/CVF, USA, 6/2024.
Details | Link 1

Towards end-to-end semi-supervised table detection with deformable transformer
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
In: International Conference on Document Analysis and Recognition (ICDAR-2023). International Conference on Document Analysis and Recognition (ICDAR-2023), Pages 51-76, Springer Nature Switzerland, San Jose, USA, 8/2023.
Details | Link 1

Mask-Aware Semi-Supervised Object Detection in Floor Plans
Tahira Shehzadi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Applied Sciences (Hrsg.). Applied Sciences (MDPI) 12 9 Seiten 1-18 MDPI Switzerland 9/2022 .
Details | Link 1