Improvements to Uncalibrated Feature-Based Stereo Matching for Document Images by Using Text-Line Segmentation. - Muhammad Zeshan Afzal; Martin Krämer; Syed Saqib Bukhari; Faisal Shafait; Thomas M. Breuel (Document Analysis Systems, 2012)

Robust stereo matching for document images using parameter selection of text-line extraction. - Muhammad Zeshan Afzal; Syed Saqib Bukhari; Martin Krämer; Faisal Shafait; Thomas M. Breuel (ICPR, 2012)

Robust stereo correspondence for documents by matching connected components of text-lines with dynamic programming. - Martin Krämer; Muhammad Zeshan Afzal; Syed Saqib Bukhari; Faisal Shafait; Thomas M. Breuel (ICPR, 2012)

Learning feature weights of symbols, with application to symbol spotting. - Nibal Nayef; Muhammad Zeshan Afzal; Thomas M. Breuel (ICPR, 2012)

Robust Binarization of Stereo and Monocular Document Images Using Percentile Filter. - Muhammad Zeshan Afzal; Martin Krämer; Syed Saqib Bukhari; Mohammad Reza Yousefi; Faisal Shafait; Thomas M. Breuel (CBDAR, 2013)

Normalizing historical orthography for OCR historical documents using LSTM. - Mayce Ibrahim Ali Al Azawi; Muhammad Zeshan Afzal; Thomas M. Breuel (HIP@ICDAR, 2013)

Using recurrent networks for non-temporal classification tasks. - Saurav Biswas; Muhammad Zeshan Afzal; Thomas M. Breuel (IJCNN, 2014)

Deepdocclassifier: Document classification with deep Convolutional Neural Network. - Muhammad Zeshan Afzal; Samuele Capobianco; Muhammad Imran Malik; Simone Marinai; Thomas M. Breuel; Andreas Dengel 001; Marcus Liwicki (ICDAR, 2015)

Document Image Binarization using LSTM: A Sequence Learning Approach. - Muhammad Zeshan Afzal; Joan Pastor-Pellicer; Faisal Shafait; Thomas M. Breuel; Andreas Dengel 001; Marcus Liwicki (HIP@ICDAR, 2015)

Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network. - Riaz Ahmad 001; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Thomas M. Breuel (ICDAR, 2015)

Recognizable units in Pashto language for OCR. - Riaz Ahmad 001; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001; Thomas M. Breuel (ICDAR, 2015)

A sequence learning approach for multiple script identification. - Adnan Ul-Hasan; Muhammad Zeshan Afzal; Faisal Shafait; Marcus Liwicki; Thomas M. Breuel (ICDAR, 2015)

Insights on the Use of Convolutional Neural Networks for Document Image Binarization. - Joan Pastor-Pellicer; Salvador España Boquera; Francisco Zamora-Martínez; Muhammad Zeshan Afzal; María José Castro Bleda (IWANN (2), 2015)

DeXpression: Deep Convolutional Neural Network for Expression Recognition. - Peter Burkert; Felix Trier; Muhammad Zeshan Afzal; Andreas Dengel 001; Marcus Liwicki (CoRR, 2015)

Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis. - Marcus Liwicki; Volkmar Frinken; Muhammad Zeshan Afzal (Handbook of Pattern Recognition and Computer Vision, 2016)

Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform. - Joan Pastor-Pellicer; Muhammad Zeshan Afzal; Marcus Liwicki; María José Castro Bleda (DAS, 2016)

KPTI: Katib's Pashto Text Imagebase and Deep Learning Benchmark. - Riaz Ahmad 001; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Thomas M. Breuel; Andreas Dengel 001 (ICFHR, 2016)

A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents. - Sheraz Ahmed; Muhammad Imran Malik; Muhammad Zeshan Afzal; Koichi Kise; Masakazu Iwamura; Andreas Dengel 001; Marcus Liwicki (CoRR, 2016)

Evaluation of cursive and non-cursive scripts using recurrent neural networks. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Shiekh Faisal Rashid; Muhammad Zeeshan Afzal; Thomas M. Breuel (Neural Comput. Appl., 2016)

Text-line segmentation of large titles and headings in Arabic like script. - Riaz Ahmad 001; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (ASAR, 2017)

Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification. - Muhammad Zeshan Afzal; Andreas Kölsch; Sheraz Ahmed; Marcus Liwicki (ICDAR, 2017)

KHATT: A Deep Learning Benchmark on Arabic Script. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (MOCR@ICDAR, 2017)

The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (MOCR@ICDAR, 2017)

AirScript - Creating Documents in Air. - Ayushman Dash; Amit Sahu; Rajveer Shringi; John Cristian Borges Gamboa; Muhammad Zeshan Afzal; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2017)

Real-Time Document Image Classification Using Deep CNN and Extreme Learning Machines. - Andreas Kölsch; Muhammad Zeshan Afzal; Markus Ebbecke; Marcus Liwicki (ICDAR, 2017)

Multilevel Context Representation for Improving Object Recognition. - Andreas Kölsch; Muhammad Zeshan Afzal; Marcus Liwicki (WML@ICDAR, 2017)

Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. - Vinaychandran Pondenkandath; Mathias Seuret; Rolf Ingold; Muhammad Zeshan Afzal; Marcus Liwicki (WML@ICDAR, 2017)

Deep Convolutional Neural Networks for Image Resolution Detection. - Felix Trier; Muhammad Zeshan Afzal; Markus Ebbecke; Marcus Liwicki (HIP@ICDAR, 2017)

D-StaR: A Generic Method for Stamp Segmentation from Document Images. - Junaid Younas; Muhammad Zeshan Afzal; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed (ICDAR, 2017)

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network. - Ayushman Dash; John Cristian Borges Gamboa; Sheraz Ahmed; Marcus Liwicki; Muhammad Zeshan Afzal (CoRR, 2017)

Deep learning in space and time for document image processing. - Muhammad Zeshan Afzal (2017)

Space Anomalies in OCRs for Arabic Like Scripts. - Riaz Ahmad 001; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel 001 (ASAR, 2018)

Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks. - Andreas Kölsch; Ashutosh Mishra; Saurabh Varshneya; Muhammad Zeshan Afzal; Marcus Liwicki (ICFHR, 2018)

A deep learning based arabic script recognition system: benchmark on KHAT. - Riaz Ahmad 001; Saeeda Naz; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki (Int. Arab J. Inf. Technol., 2020)

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, 2021)

Guided Table Structure Recognition Through Anchor Optimization. - Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Noman Afzal; Muhammad Zeshan Afzal (IEEE Access, 2021)

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 (J. Imaging, 2021)

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments. - Muhammad Ahmed 002; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (Sensors, 2021)

Contrastive Learning for 3D Point Clouds Classification and Shape Completion. - Danish Nazir; Muhammad Zeshan Afzal; Alain Pagani; Marcus Liwicki; Didier Stricker (Sensors, 2021)

Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection. - Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal (BMVC, 2022)

SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion. - Danish Nazir; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (IEEE Access, 2022)

SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion. - Danish Nazir; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2022)

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, 2022)

Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review. - Muhammad Saif Ullah Khan; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (J. Imaging, 2022)

Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments. - Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (Sensors, 2022)

A Comprehensive Survey of Depth Completion Approaches. - Muhammad Ahmed Ullah Khan; Danish Nazir; Alain Pagani; Hamam Mokayed; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (Sensors, 2022)

Attention-Guided Disentangled Feature Aggregation for Video Object Detection. - Shishir Muralidhara; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal (Sensors, 2022)

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. - Muhammad Ferjad Naeem; Muhammad Gul Zain Ali Khan; Yongqin Xian; Muhammad Zeshan Afzal; Didier Stricker; Luc Van Gool; Federico Tombari (CVPR, 2023)

FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. - Khurram Azeem Hashmi; Goutham Kallempudi; Didier Stricker; Muhammad Zeshan Afzal (ICCV, 2023)

Introducing Language Guidance in Prompt-based Continual Learning. - Muhammad Gul Zain Ali Khan; Muhammad Ferjad Naeem; Luc Van Gool; Didier Stricker; Federico Tombari; Muhammad Zeshan Afzal (ICCV, 2023)

Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. - Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal (ICDAR (2), 2023)

BoxMask: Revisiting Bounding Box Supervision for Video Object Detection. - Khurram Azeem Hashmi; Alain Pagani; Didier Stricker; Muhammad Zeshan Afzal (WACV, 2023)

Learning Attention Propagation for Compositional Zero-Shot Learning. - Muhammad Gul Zain Ali Khan; Muhammad Ferjad Naeem; Luc Van Gool; Alain Pagani; Didier Stricker; Muhammad Zeshan Afzal (WACV, 2023)

Robust and Fast Vehicle Detection using Augmented Confidence Map. - Hamam Mokayed; Palaiahnakote Shivakumara; Lama Alkhaled; Rajkumar Saini; Muhammad Zeshan Afzal; Yan Chai Hum; Marcus Liwicki (CoRR, 2023)

Object Detection with Transformers: A Review. - Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2023)

Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images. - Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal (CoRR, 2023)

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection. - Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal (CVPR, 2024)

Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification. - Muhammad Saif Ullah Khan; Tahira Shehzadi; Rabeya Noor; Didier Stricker; Muhammad Zeshan Afzal (DAS, 2024)

UnSupDLA: Towards Unsupervised Document Layout Analysis. - Talha Uddin Sheikh; Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal (DAS, 2024)

A Hybrid Approach for Document Layout Analysis in Document Images. - Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal (ICDAR (4), 2024)

Towards End-to-End Semi-supervised Table Detection with Semantic Aligned Matching Transformer. - Tahira Shehzadi; Shalini Sarode; Didier Stricker; Muhammad Zeshan Afzal (ICDAR (5), 2024)

CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification. - Sankalp Sinha; Muhammad Saif Ullah Khan; Talha Uddin Sheikh; Didier Stricker; Muhammad Zeshan Afzal (ICDAR (4), 2024)

Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts. - Mohammad Sadil Khan; Sankalp Sinha; Talha Uddin Sheikh; Didier Stricker; Sk Aziz Ali; Muhammad Zeshan Afzal (NeurIPS, 2024)

Shape2.5D: A Dataset of Texture-Less Surfaces for Depth and Normals Estimation. - Muhammad Saif Ullah Khan; Sankalp Sinha; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal (IEEE Access, 2024)

FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. - Muhammad Saif Ullah Khan; Muhammad Ferjad Naeem; Federico Tombari; Luc Van Gool; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach. - Muhammad Saif Ullah Khan; Dhavalkumar Limbachiya; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Situational Instructions Database: Task Guidance in Dynamic Environments. - Muhammad Saif Ullah Khan; Sankalp Sinha; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation. - Muhammad Saif Ullah Khan; Muhammad Zeshan Afzal; Didier Stricker (CoRR, 2024)

Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer. - Tahira Shehzadi; Ifza; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts. - Mohammad Sadil Khan; Sankalp Sinha; Talha Uddin Sheikh; Didier Stricker; Sk Aziz Ali; Muhammad Zeshan Afzal (CoRR, 2024)

Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies. - Shalini Sarode; Muhammad Saif Ullah Khan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal (CoRR, 2024)

Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations. - Muhammad Saif Ullah Khan; Muhammad Ahmed Ullah Khan; Muhammad Zeshan Afzal; Didier Stricker (CoRR, 2024)

End-to-end semi-supervised approach with modulated object queries for table detection in documents. - Iqraa Ehsan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal (Int. J. Document Anal. Recognit., 2024)

MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation. - Sankalp Sinha; Mohammad Sadil Khan; Muhammad Usama; Shino Sam; Didier Stricker; Sk Aziz Ali; Muhammad Zeshan Afzal (CVPR, 2025)

FD-SSD: Semi-supervised Detection of Bone Fenestration and Dehiscence in Intraoral Images. - Tahira Shehzadi; Ifza; Didier Stricker; Muhammad Zeshan Afzal (MIUA (2), 2025)

Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection. - Khurram Azeem Hashmi; Talha Uddin Sheikh; Didier Stricker; Muhammad Zeshan Afzal (WACV, 2025)

Next Generation XR Systems - Large Language Models Meet Augmented and Virtual Reality. - Muhammad Zeshan Afzal; Sk Aziz Ali; Didier Stricker; Peter Eisert; Anna Hilsmann; Daniel Pérez-Marcos; Marco Bianchi 006; Sonia Crottaz-Herbette; Roberto De Ioris; Eleni E. Mangina; Mirco Sanguineti; Ander Salaberria; et al. (IEEE Computer Graphics and Applications, 2025)