Muhammad Zeshan Afzal

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 64

Top Venues

Kaiserslautern University of Technology, Germany (PHD)

Education History

Kaiserslautern University of Technology, Germany

PHD

Publications

Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. CoRR (2024)
Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
UnSupDLA: Towards Unsupervised Document Layout Analysis. CoRR (2024)
Sankalp Sinha, Muhammad Saif Ullah Khan, Talha Uddin Sheikh, Didier Stricker, Muhammad Zeshan Afzal
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification. CoRR (2024)
Muhammad Saif Ullah Khan, Sankalp Sinha, Didier Stricker, Muhammad Zeshan Afzal
Situational Instructions Database: Task Guidance in Dynamic Environments. CoRR (2024)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection. CoRR (2024)
Muhammad Saif Ullah Khan, Dhavalkumar Limbachiya, Didier Stricker, Muhammad Zeshan Afzal
Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach. CoRR (2024)
Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal
A Hybrid Approach for Document Layout Analysis in Document images. CoRR (2024)
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 (2024)
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 (2024)
Tahira Shehzadi, Ifza, Didier Stricker, Muhammad Zeshan Afzal
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer. CoRR (2024)
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation. CoRR (2024)
Tahira Shehzadi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer. CoRR (2024)
Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR (2023)
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV (2023)
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)
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)
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki
Robust and Fast Vehicle Detection using Augmented Confidence Map. CoRR (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. CoRR (2023)
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 (2023)
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
2D Object Detection with Transformers: A Review. CoRR (2023)
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal
Introducing Language Guidance in Prompt-based Continual Learning. ICCV (2023)
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. WACV (2023)
Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. CoRR (2023)
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal
Introducing Language Guidance in Prompt-based Continual Learning. CoRR (2023)
Danish Nazir, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion. IEEE Access 10 (2022)
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
Learning Attention Propagation for Compositional Zero-Shot Learning. CoRR (2022)
Muhammad Ahmed Ullah Khan, Danish Nazir, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
A Comprehensive Survey of Depth Completion Approaches. Sensors 22 (18) (2022)
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. BMVC (2022)
Danish Nazir, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion. CoRR (2022)
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) (2022)
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. CoRR (2022)
Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR (2022)
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) (2022)
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. CoRR (2022)
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) (2022)
Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review. J. Imaging 8 (9) (2022)
Danish Nazir, Muhammad Zeshan Afzal, Alain Pagani, Marcus Liwicki, Didier Stricker
Contrastive Learning for 3D Point Clouds Classification and Shape Completion. Sensors 21 (21) (2021)
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
Guided Table Structure Recognition through Anchor Optimization. CoRR (2021)
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal
Guided Table Structure Recognition Through Anchor Optimization. IEEE Access 9 (2021)
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) (2021)
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 (2021)
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 (2021)
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) (2021)
Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki
A deep learning based arabic script recognition system: benchmark on KHAT. Int. Arab J. Inf. Technol. 17 (3) (2020)
Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya, Muhammad Zeshan Afzal, Marcus Liwicki
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks. ICFHR (2018)
Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
Space Anomalies in OCRs for Arabic Like Scripts. ASAR (2018)
Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed, Marcus Liwicki
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification. ICDAR (2017)
Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki
Multilevel Context Representation for Improving Object Recognition. WML@ICDAR (2017)
Ayushman Dash, John Cristian Borges Gamboa, Sheraz Ahmed, Marcus Liwicki, Muhammad Zeshan Afzal
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network. CoRR (2017)
Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. MOCR@ICDAR (2017)
Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
Text-line segmentation of large titles and headings in Arabic like script. ASAR (2017)
Ayushman Dash, Amit Sahu, Rajveer Shringi, John Cristian Borges Gamboa, Muhammad Zeshan Afzal, Muhammad Imran Malik, Sheraz Ahmed, Andreas Dengel
AirScript - Creating Documents in Air. CoRR (2017)
Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki
Real-Time Document Image Classification Using Deep CNN and Extreme Learning Machines. ICDAR (2017)
Ayushman Dash, Amit Sahu, Rajveer Shringi, John Cristian Borges Gamboa, Muhammad Zeshan Afzal, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
AirScript - Creating Documents in Air. ICDAR (2017)
Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Muhammad Zeshan Afzal, Marcus Liwicki
Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. WML@ICDAR (2017)
Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki
Multilevel Context Representation for Improving Object Recognition. CoRR (2017)
Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed, Marcus Liwicki
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification. CoRR (2017)
Junaid Younas, Muhammad Zeshan Afzal, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Sheraz Ahmed
D-StaR: A Generic Method for Stamp Segmentation from Document Images. ICDAR (2017)
Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines. CoRR (2017)
Felix Trier, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki
Deep Convolutional Neural Networks for Image Resolution Detection. HIP@ICDAR (2017)
Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
KHATT: A Deep Learning Benchmark on Arabic Script. MOCR@ICDAR (2017)
Sheraz Ahmed, Muhammad Imran Malik, Muhammad Zeshan Afzal, Koichi Kise, Masakazu Iwamura, Andreas Dengel, Marcus Liwicki
A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents. CoRR (2016)
Joan Pastor-Pellicer, Muhammad Zeshan Afzal, Marcus Liwicki, María José Castro Bleda
Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform. DAS (2016)
Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas M. Breuel, Andreas Dengel
KPTI: Katib's Pashto Text Imagebase and Deep Learning Benchmark. ICFHR (2016)
Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas M. Breuel
Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network. ICDAR (2015)
Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel, Thomas M. Breuel
Recognizable units in Pashto language for OCR. ICDAR (2015)
Adnan Ul-Hasan, Muhammad Zeshan Afzal, Faisal Shafait, Marcus Liwicki, Thomas M. Breuel
A sequence learning approach for multiple script identification. ICDAR (2015)
Peter Burkert, Felix Trier, Muhammad Zeshan Afzal, Andreas Dengel, Marcus Liwicki
DeXpression: Deep Convolutional Neural Network for Expression Recognition. CoRR (2015)
Muhammad Zeshan Afzal, Samuele Capobianco, Muhammad Imran Malik, Simone Marinai, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki
Deepdocclassifier: Document classification with deep Convolutional Neural Network. ICDAR (2015)
Joan Pastor-Pellicer, Salvador España Boquera, Francisco Zamora-Martínez, Muhammad Zeshan Afzal, María José Castro Bleda
Insights on the Use of Convolutional Neural Networks for Document Image Binarization. IWANN (2) (2015)
Muhammad Zeshan Afzal, Joan Pastor-Pellicer, Faisal Shafait, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki
Document Image Binarization using LSTM: A Sequence Learning Approach. HIP@ICDAR (2015)
Saurav Biswas, Muhammad Zeshan Afzal, Thomas M. Breuel
Using recurrent networks for non-temporal classification tasks. IJCNN (2014)
Mayce Ibrahim Ali Al Azawi, Muhammad Zeshan Afzal, Thomas M. Breuel
Normalizing historical orthography for OCR historical documents using LSTM. HIP@ICDAR (2013)
Muhammad Zeshan Afzal, Martin Krämer, Syed Saqib Bukhari, Mohammad Reza Yousefi, Faisal Shafait, Thomas M. Breuel
Robust Binarization of Stereo and Monocular Document Images Using Percentile Filter. CBDAR (2013)
Nibal Nayef, Muhammad Zeshan Afzal, Thomas M. Breuel
Learning feature weights of symbols, with application to symbol spotting. ICPR (2012)
Muhammad Zeshan Afzal, Syed Saqib Bukhari, Martin Krämer, Faisal Shafait, Thomas M. Breuel
Robust stereo matching for document images using parameter selection of text-line extraction. ICPR (2012)
Muhammad Zeshan Afzal, Martin Krämer, Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel
Improvements to Uncalibrated Feature-Based Stereo Matching for Document Images by Using Text-Line Segmentation. Document Analysis Systems (2012)
Martin Krämer, Muhammad Zeshan Afzal, Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel
Robust stereo correspondence for documents by matching connected components of text-lines with dynamic programming. ICPR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Zeshan Afzal