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Khurram Azeem Hashmi
Khurram Azeem Hashmi
Researcher at DFKI
Verified email at dfki.de - Homepage
Title
Cited by
Cited by
Year
Survey and performance analysis of deep learning based object detection in challenging environments
M Ahmed, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Sensors 21 (15), 5116, 2021
762021
Current status and performance analysis of table recognition in document images with deep neural networks
KA Hashmi, M Liwicki, D Stricker, MA Afzal, MA Afzal, MZ Afzal
IEEE Access 9, 87663-87685, 2021
632021
Guided table structure recognition through anchor optimization
KA Hashmi, D Stricker, M Liwicki, MN Afzal, MZ Afzal
IEEE Access 9, 113521-113534, 2021
402021
A survey of graphical page object detection with deep neural networks
J Bhatt, KA Hashmi, MZ Afzal, D Stricker
Applied Sciences 11 (12), 5344, 2021
382021
HybridTabNet: Towards better table detection in scanned document images
D Nazir, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 11 (18), 8396, 2021
312021
Castabdetectors: Cascade network for table detection in document images with recursive feature pyramid and switchable atrous convolution
KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Journal of Imaging 7 (10), 214, 2021
282021
Cascade network with deformable composite backbone for formula detection in scanned document images
KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 11 (16), 7610, 2021
202021
Towards robust object detection in floor plan images: A data augmentation approach
S Mishra, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 11 (23), 11174, 2021
192021
2d object detection with transformers: a review
T Shehzadi, KA Hashmi, D Stricker, MZ Afzal
arXiv preprint arXiv:2306.04670, 2023
162023
Mask-aware semi-supervised object detection in floor plans
T Shehzadi, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 12 (19), 9398, 2022
132022
Boxmask: Revisiting bounding box supervision for video object detection
KA Hashmi, A Pagani, D Stricker, MZ Afzal
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
122023
Continual learning for table detection in document images
M Minouei, KA Hashmi, MR Soheili, MZ Afzal, D Stricker
Applied Sciences 12 (18), 8969, 2022
122022
Investigating attention mechanism for page object detection in document images
S Naik, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 12 (15), 7486, 2022
122022
Feedback learning: Automating the process of correcting and completing the extracted information
KA Hashmi, RB Ponnappa, SS Bukhari, M Jenckel, A Dengel
2019 International Conference on Document Analysis and Recognition Workshops …, 2019
122019
Towards end-to-end semi-supervised table detection with deformable transformer
T Shehzadi, K Azeem Hashmi, D Stricker, M Liwicki, M Zeshan Afzal
International Conference on Document Analysis and Recognition, 51-76, 2023
112023
Featenhancer: Enhancing hierarchical features for object detection and beyond under low-light vision
KA Hashmi, G Kallempudi, D Stricker, MZ Afzal
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
112023
Rethinking learnable proposals for graphical object detection in scanned document images
S Sinha, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Applied Sciences 12 (20), 10578, 2022
112022
Sparse semi-detr: Sparse learnable queries for semi-supervised object detection
T Shehzadi, KA Hashmi, D Stricker, MZ Afzal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Bridging the performance gap between detr and r-cnn for graphical object detection in document images
T Shehzadi, KA Hashmi, D Stricker, M Liwicki, MZ Afzal
arXiv preprint arXiv:2306.13526, 2023
82023
Toward semi-supervised graphical object detection in document images
G Kallempudi, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal
Future Internet 14 (6), 176, 2022
72022
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