Tahira Shehzadi

According to our database, Tahira Shehzadi authored at least 11 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

End-to-end semi-supervised approach with modulated object queries for table detection in documents.

Iqraa Ehsan, Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal

Int. J. Document Anal. Recognit., September, 2024

Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies.

Shalini Sarode, Muhammad Saif Ullah Khan, Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal

CoRR, 2024

Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer.

Tahira Shehzadi, Ifza, Didier Stricker, Muhammad Zeshan Afzal

CoRR, 2024

Towards End-to-End Semi-supervised Table Detection with Semantic Aligned Matching Transformer.

Tahira Shehzadi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

A Hybrid Approach for Document Layout Analysis in Document Images.

Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

UnSupDLA: Towards Unsupervised Document Layout Analysis.

Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal

Proceedings of the Document Analysis Systems - 16th IAPR International Workshop, 2024

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

Proceedings of the Document Analysis Systems - 16th IAPR International Workshop, 2024

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection.

Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images.

Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal

CoRR, 2023

Object Detection with Transformers: A Review.

Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal

CoRR, 2023

Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer.

Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023