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Sheraz Ahmed
Sheraz Ahmed
Verified email at dfki.de
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Cited by
Cited by
Year
DeepAnT: A deep learning approach for unsupervised anomaly detection in time series
M Munir, SA Siddiqui, A Dengel, S Ahmed
Ieee Access 7, 1991-2005, 2018
6022018
Deepdesrt: Deep learning for detection and structure recognition of tables in document images
S Schreiber, S Agne, I Wolf, A Dengel, S Ahmed
2017 14th IAPR international conference on document analysis and recognition …, 2017
4012017
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
1942017
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
MN Bajwa, MI Malik, SA Siddiqui, A Dengel, F Shafait, W Neumeier, ...
BMC medical informatics and decision making 19, 1-16, 2019
1862019
LIVECell—A large-scale dataset for label-free live cell segmentation
C Edlund, TR Jackson, N Khalid, N Bevan, T Dale, A Dengel, S Ahmed, ...
Nature methods 18 (9), 1038-1045, 2021
1742021
Improved automatic analysis of architectural floor plans
S Ahmed, M Liwicki, M Weber, A Dengel
2011 International conference on document analysis and recognition, 864-869, 2011
1632011
Automatic room detection and room labeling from architectural floor plans
S Ahmed, M Liwicki, M Weber, A Dengel
2012 10th IAPR international workshop on document analysis systems, 339-343, 2012
1442012
Statistical segmentation and structural recognition for floor plan interpretation: Notation invariant structural element recognition
LP De Las Heras, S Ahmed, M Liwicki, E Valveny, G Sánchez
International Journal on Document Analysis and Recognition (IJDAR) 17 (3 …, 2014
1432014
Decnt: Deep deformable cnn for table detection
SA Siddiqui, MI Malik, S Agne, A Dengel, S Ahmed
IEEE access 6, 74151-74161, 2018
1212018
DeepCFD: Efficient steady-state laminar flow approximation with deep convolutional neural networks
MD Ribeiro, A Rehman, S Ahmed, A Dengel
arXiv preprint arXiv:2004.08826, 2020
1102020
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
1082017
Computer-aided diagnosis of skin diseases using deep neural networks
MN Bajwa, K Muta, MI Malik, SA Siddiqui, SA Braun, B Homey, A Dengel, ...
Applied Sciences 10 (7), 2488, 2020
1032020
FuseAD: Unsupervised anomaly detection in streaming sensors data by fusing statistical and deep learning models
M Munir, SA Siddiqui, MA Chattha, A Dengel, S Ahmed
Sensors 19 (11), 2451, 2019
1022019
Probabilistic forecasting of sensory data with generative adversarial networks–forgan
A Koochali, P Schichtel, A Dengel, S Ahmed
IEEE Access 7, 63868-63880, 2019
1002019
Tsviz: Demystification of deep learning models for time-series analysis
SA Siddiqui, D Mercier, M Munir, A Dengel, S Ahmed
IEEE Access 7, 67027-67040, 2019
962019
Automatic analysis and sketch-based retrieval of architectural floor plans
S Ahmed, M Weber, M Liwicki, C Langenhan, A Dengel, F Petzold
Pattern Recognition Letters 35, 91-100, 2014
932014
Deeptabstr: Deep learning based table structure recognition
SA Siddiqui, IA Fateh, STR Rizvi, A Dengel, S Ahmed
2019 international conference on document analysis and recognition (ICDAR …, 2019
852019
Judging a book by its cover
BK Iwana, STR Rizvi, S Ahmed, A Dengel, S Uchida
arXiv preprint arXiv:1610.09204, 2016
782016
On interpretability of deep learning based skin lesion classifiers using concept activation vectors
A Lucieri, MN Bajwa, SA Braun, MI Malik, A Dengel, S Ahmed
2020 international joint conference on neural networks (IJCNN), 1-10, 2020
752020
ICDAR2015 competition on signature verification and writer identification for on-and off-line skilled forgeries (SigWIcomp2015)
MI Malik, S Ahmed, A Marcelli, U Pal, M Blumenstein, L Alewijns, ...
2015 13th International Conference on Document Analysis and Recognition …, 2015
682015
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