Muhammad Zeshan Afzal

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30 artikel

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Marcus LiwickiLuleå University of Technology, EISLAB, Machine Learning, SwedenEmail yang diverifikasi di ltu.se
Didier StrickerProfessor for Computer Science, University KaiserslauternEmail yang diverifikasi di dfki.uni-kl.de
Khurram Azeem HashmiResearcher at DFKIEmail yang diverifikasi di dfki.de
Alain PaganiPrincipal Researcher, German Research Center for Artificial Intelligence (DFKI)Email yang diverifikasi di dfki.de
Thomas BreuelResearcher, NVIDIA Inc.Email yang diverifikasi di 9x9.com
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIEmail yang diverifikasi di dfki.de
Dr. Sheikh Faisal RashidSenior Researcher AI, Educational Technology Lab, DFKI BerlinEmail yang diverifikasi di dfki.de
Riaz AhmadDr. -Eng- (PhD), TU-Kaiserslautern, GermanyEmail yang diverifikasi di sbbu.edu.pk
Sheraz AhmedGerman Research Center for Artificial Intelligence - DFKI GmbHEmail yang diverifikasi di dfki.de
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEEmail yang diverifikasi di insait.ai
Faisal ShafaitProfessor, National University of Sciences and Technology (NUST)Email yang diverifikasi di seecs.edu.pk
Andreas KölschDeutsches Forschungszentrum für Künstliche IntelligenzEmail yang diverifikasi di dfki.de
Joan Pastor-PellicerPHD Student at Universitat Politècnica de ValènciaEmail yang diverifikasi di dsic.upv.es
Danish NazirVolkswagen AGEmail yang diverifikasi di volkswagen.de
Muhammad Ferjad NaeemResearch Scientist, GoogleEmail yang diverifikasi di google.com
Maria Jose Castro-BledaFull Professor of Computer Science, VRAIN, Universitat Politècnica de ValènciaEmail yang diverifikasi di dsic.upv.es
Syed Saqib BukhariZF Friedrichshafen AGEmail yang diverifikasi di zf.com
Simone MarinaiUniversità degli Studi di FirenzeEmail yang diverifikasi di unifi.it
Samuele CapobiancoResearcherEmail yang diverifikasi di unifi.it
Saad Bin AhmedAssistant Professor - Lakehead University, Thunder Bay, Canada.Email yang diverifikasi di lakeheadu.ca

Ikuti

Muhammad Zeshan Afzal

Team Lead Multimodal Learning and Perception, DFKI GmbH Germany

Email yang diverifikasi di dfki.de


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Tac-gan-text conditioned auxiliary classifier generative adversarial network A Dash, JCB Gamboa, S Ahmed, M Liwicki, MZ Afzal arXiv preprint arXiv:1703.06412, 2017	208	2017
Dexpression: Deep convolutional neural network for expression recognition P Burkert, F Trier, MZ Afzal, A Dengel, M Liwicki arXiv preprint arXiv:1509.05371, 2015	200	2015
Deepdocclassifier: Document classification with deep convolutional neural network MZ Afzal, S Capobianco, MI Malik, S Marinai, TM Breuel, A Dengel, ... 2015 13th international conference on document analysis and recognition …, 2015	158	2015
Cutting the error by half: Investigation of very deep cnn and advanced training strategies for document image classification MZ Afzal, A Kölsch, S Ahmed, M Liwicki 2017 14th IAPR international conference on document analysis and recognition …, 2017	120	2017
Real-time document image classification using deep CNN and extreme learning machines A Kölsch, MZ Afzal, M Ebbecke, M Liwicki 2017 14th IAPR international conference on document analysis and recognition …, 2017	118	2017
Survey and performance analysis of deep learning based object detection in challenging environments M Ahmed, KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal Sensors 21 (15), 5116, 2021	92	2021
Evaluation of cursive and non-cursive scripts using recurrent neural networks SB Ahmed, S Naz, MI Razzak, SF Rashid, MZ Afzal, TM Breuel Neural Computing and Applications 27, 603-613, 2016	79	2016
Current status and performance analysis of table recognition in document images with deep neural networks KA Hashmi, M Liwicki, D Stricker, MA Afzal, MA Afzal, MZ Afzal IEEE Access 9, 87663-87685, 2021	72	2021
Insights on the use of convolutional neural networks for document image binarization J Pastor-Pellicer, S España-Boquera, F Zamora-Martínez, MZ Afzal, ... Advances in Computational Intelligence: 13th International Work-Conference …, 2015	72	2015
Document image binarization using lstm: A sequence learning approach MZ Afzal, J Pastor-Pellicer, F Shafait, TM Breuel, A Dengel, M Liwicki Proceedings of the 3rd international workshop on historical document imaging …, 2015	70	2015
I2mvformer: Large language model generated multi-view document supervision for zero-shot image classification MF Naeem, MGZA Khan, Y Xian, MZ Afzal, D Stricker, L Van Gool, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	65	2023
SemAttNet: Toward attention-based semantic aware guided depth completion D Nazir, A Pagani, M Liwicki, D Stricker, MZ Afzal IEEE access 10, 120781-120791, 2022	59	2022
Complete system for text line extraction using convolutional neural networks and watershed transform J Pastor-Pellicer, MZ Afzal, M Liwicki, MJ Castro-Bleda 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 30-35, 2016	53	2016
Introducing language guidance in prompt-based continual learning MGZA Khan, MF Naeem, L Van Gool, D Stricker, F Tombari, MZ Afzal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	48	2023
Guided table structure recognition through anchor optimization KA Hashmi, D Stricker, M Liwicki, MN Afzal, MZ Afzal IEEE Access 9, 113521-113534, 2021	43	2021
Kpti: Katib's pashto text imagebase and deep learning benchmark R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel, A Dengel 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016	41	2016
A survey of graphical page object detection with deep neural networks J Bhatt, KA Hashmi, MZ Afzal, D Stricker Applied Sciences 11 (12), 5344, 2021	40	2021
A sequence learning approach for multiple script identification A Ul-Hasan, MZ Afzal, F Shafait, M Liwicki, TM Breuel 2015 13th International Conference on Document Analysis and Recognition …, 2015	39	2015
A deep learning based arabic script recognition system: benchmark on KHAT. R Ahmad, S Naz, MZ Afzal, SF Rashid, M Liwicki, A Dengel Int. Arab J. Inf. Technol. 17 (3), 299-305, 2020	38	2020
Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel 2015 13th international conference on document analysis and recognition …, 2015	37	2015

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