Muhammad Zeshan Afzal
Orcid: 0000-0002-0536-6867Affiliations:
- German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
- University of Kaiserslautern, Department of Computer Science, Kaiserslautern, Germany
According to our database1,
Muhammad Zeshan Afzal
authored at least 57 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on av.dfki.de
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Bibliography
2024
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks.
CoRR, 2024
2023
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Sensors, 2022
Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments.
Sensors, 2022
Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review.
J. Imaging, 2022
Future Internet, 2022
CoRR, 2022
IEEE Access, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Sensors, 2021
Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments.
Sensors, 2021
CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution.
J. Imaging, 2021
Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks.
IEEE Access, 2021
2020
Int. Arab J. Inf. Technol., 2020
2018
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018
2017
CoRR, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017
Proceedings of the First Workshop of Machine Learning, 2017
Proceedings of the First Workshop of Machine Learning, 2017
Real-Time Document Image Classification Using Deep CNN and Extreme Learning Machines.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System.
Proceedings of the 6th International Workshop on Multilingual OCR, 2017
Proceedings of the 6th International Workshop on Multilingual OCR, 2017
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017
2016
Neural Comput. Appl., 2016
CoRR, 2016
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016
Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016
Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016
2015
CoRR, 2015
Insights on the Use of Convolutional Neural Networks for Document Image Binarization.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing, 2013
Proceedings of the Camera-Based Document Analysis and Recognition, 2013
2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Robust stereo correspondence for documents by matching connected components of text-lines with dynamic programming.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Robust stereo matching for document images using parameter selection of text-line extraction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Improvements to Uncalibrated Feature-Based Stereo Matching for Document Images by Using Text-Line Segmentation.
Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012