Publications

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.
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Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gulzain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari, Didier Stricker, Muhammad Zeshan Afzal,
In: International Conference on Computer Vision 2023. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.
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FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal,
In: International Conference on Computer Vision. International Conference on Computer Vision (ICCV-2023), October 2-6, Paris, France, IEEE, 10/2023.
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Learning Attention Propagation for Compositional Zero-Shot Learning
Muhammad Gulzain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal,
In: Proceedings of. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), IEEE Xplore, 2023.
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Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images
Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (MDPI) 12 20 Seiten 1-22 MDPI Switzerland 10/2022 .
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Attention-Guided Disentangled Feature Aggregation for Video Object Detection
Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Sensors - Open Access Journal (Sensors) 22 21 Seiten 1-17 MDPI Switzerland 11/2022 .
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Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal,
British Machine Vision Conference. British Machine Vision Conference (BMVC-2022) 33rd British Machine Vision Conference British Machine Vision Association England 11/2022 .
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BoxMask: Revisiting Bounding Box Supervision for Video Object Detection
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal,
In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 3-8, Waikoloa, HI, USA, CVF, 2023.
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Continual Learning for Table Detection in Document Images
Mohammad Minouei, Khurram Azeem Hashmi, Mohammad Reza Soheili, Muhammad Zeshan Afzal, Didier Stricker,
Jan Egger (Hrsg.). Applied Sciences (MDPI) 12 18 Seiten 01-16 MDPI Switzerland 9/2022 .
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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 .
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3D Reconstruction from a Single RGB Image using Deep Learning: A Review
Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Journal of Imaging (MDPI J) 8 225 Seiten 1-23 MDPI 8/2022 .
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Investigating Attention Mechanism for Page Object Detection in Document Images
Shivam Naik, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (MDPI) 12 15 Seiten 3390-3408 MDPI Switzerland 7/2022 .
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Toward Semi-Supervised Graphical Object Detection in Document Images
Goutham Kallempudi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Future Internet (MDPI) 14 6 Seiten 176-198 MDPI Switzerland 6/2022 .
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Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Sensors - Open Access Journal (Sensors) 22 Seiten 3703-3722 MDPI Switzerland 5/2022 .
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EmmDocClassifier: Efficient Multimodal Document Image Classifier for Scarce Data
Shrinidhi Kanchi, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (MDPI) 12 3 Seiten 1-18 MDPI 1/2022 .
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CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,Jason Raphael Rambach
Journal of Imaging (MDPI J) 7 10 Seiten 214-237 MDPI 10/2021 .
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Contrastive Learning for 3D Point Clouds Classification and Shape Completion
Danish Nazir, Muhammad Zeshan Afzal, Alain Pagani, Marcus Liwicki, Didier Stricker,
Sensors - Open Access Journal (Sensors) 21 Seiten 1-17 MDPI Switzerland 11/2021 .
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HybridTabNet: Towards Better Table Detection in Scanned Document Images
Danish Nazir, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Antonio Fernández (Hrsg.). Applied Sciences (MDPI) 11 18 Seiten 8396-8418 MDPI Switzerland 9/2021 .
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Towards Robust Object detection in Floor Plan Images: A Data Augmentation Approach
Shashank Mishra, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (MDPI) 11 23 Seiten 1-22 MDPI 11/2021 .
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A Comprehensive Survey of Depth Completion Approaches
Muhammad Ahmed Ullah Khan, Danish Nazir, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
In: Sensors - Open Access Journal (Sensors), Vol. 22, No. 18, Pages 1-18, MDPI, 9/2022.
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