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Tahira Shehzadi
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2020 – today
- 2024
- [i10]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection. CoRR abs/2404.01819 (2024) - [i9]Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal:
A Hybrid Approach for Document Layout Analysis in Document images. CoRR abs/2404.17888 (2024) - [i8]Tahira Shehzadi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal:
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer. CoRR abs/2405.00187 (2024) - [i7]Iqraa Ehsan, Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal:
End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents. CoRR abs/2405.04971 (2024) - [i6]Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
UnSupDLA: Towards Unsupervised Document Layout Analysis. CoRR abs/2406.06236 (2024) - [i5]Muhammad Saif Ullah Khan, Tahira Shehzadi, Rabeya Noor, Didier Stricker, Muhammad Zeshan Afzal:
Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification. CoRR abs/2406.14370 (2024) - [i4]Tahira Shehzadi, Ifza, Didier Stricker, Muhammad Zeshan Afzal:
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer. CoRR abs/2407.08460 (2024) - 2023
- [c1]Tahira Shehzadi
, Khurram Azeem Hashmi
, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
:
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. ICDAR (2) 2023: 51-76 - [i3]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal:
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. CoRR abs/2305.02769 (2023) - [i2]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Object Detection with Transformers: A Review. CoRR abs/2306.04670 (2023) - [i1]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal:
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images. CoRR abs/2306.13526 (2023)
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