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Khurram Azeem Hashmi
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2020 – today
- 2024
- [c7]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection. CVPR 2024: 5840-5850 - [c6]Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
UnSupDLA: Towards Unsupervised Document Layout Analysis. DAS 2024: 142-161 - [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]Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
UnSupDLA: Towards Unsupervised Document Layout Analysis. CoRR abs/2406.06236 (2024) - 2023
- [c5]Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal:
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. ICCV 2023: 6702-6712 - [c4]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 - [c3]Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. WACV 2023: 2029-2039 - [i8]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) - [i7]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Object Detection with Transformers: A Review. CoRR abs/2306.04670 (2023) - [i6]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) - [i5]Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal:
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. CoRR abs/2308.03594 (2023) - 2022
- [j7]Goutham Kallempudi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Toward Semi-Supervised Graphical Object Detection in Document Images. Future Internet 14(6): 176 (2022) - [j6]Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments. Sensors 22(10): 3703 (2022) - [j5]Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Attention-Guided Disentangled Feature Aggregation for Video Object Detection. Sensors 22(21): 8583 (2022) - [c2]Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. BMVC 2022: 18 - [i4]Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal:
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. CoRR abs/2210.02368 (2022) - [i3]Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. CoRR abs/2210.06008 (2022) - 2021
- [j4]Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal:
Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks. IEEE Access 9: 87663-87685 (2021) - [j3]Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal:
Guided Table Structure Recognition Through Anchor Optimization. IEEE Access 9: 113521-113534 (2021) - [j2]Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution. J. Imaging 7(10): 214 (2021) - [j1]Muhammad Ahmed, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments. Sensors 21(15): 5116 (2021) - [i2]Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal:
Guided Table Structure Recognition through Anchor Optimization. CoRR abs/2104.10538 (2021) - [i1]Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal:
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks. CoRR abs/2104.14272 (2021)
2010 – 2019
- 2019
- [c1]Khurram Azeem Hashmi, Rakshith Bymana Ponnappa, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information. WML@ICDAR 2019: 116-121
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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