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Dr. Muhammad Zeshan Afzal

E-Mail: Muhammad_Zeshan.Afzal@dfki.uni-kl.de
Position: Senior Researcher
11 Publications by Dr. Muhammad Zeshan Afzal:

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 .
Details | Link 1

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 .
Details | Link 1 | Link 2

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
Journal of Imaging (MDPI J) 7 10 Seiten 214-237 MDPI 10/2021 .
Details | Link 1

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 .
Details | Link 1

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 .
Details | Link 1

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks
Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal
IEEE Access (IEEE) 9 Seiten 87663-87685 IEEE 6/2021 .
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A Survey of Graphical Page Object Detection with Deep Neural Networks
Khurram Azeem Hashmi, Jwalin Bhatt, Muhammad Zeshan Afzal, Didier Stricker
Applied Sciences (MDPI) 11 12 Seiten 1-21 MDPI Basel, Switzerland 6/2021 .
Details | Link 1

Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images
Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Applied Sciences (MDPI) 11 16 Seite 7610 MDPI Switzerland 8/2021 .
Details | Link 1

Guided Table Structure Recognition Through Anchor Optimization
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
IEEE Access (IEEE) 9 Seiten 113521-113534 IEEE 8/2021 .
Details | Link 1

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments
Muhammad Ahmed, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Radu Danescu (Hrsg.). Sensors - Open Access Journal (Sensors) 21 15 Seiten 1-30 MDPI 2021 .
Details | Link 1 | Link 2