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ORCIDMuhammad Imran Malik
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Books and Theses
- 2015
[b1]Muhammad Imran Malik:
Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science. University of Kaiserslautern, 2015
Journal Articles
- 2024
- [j20]Hasan Irtaza Mirza
, Saad Bin Ahmed, Roberto Solis-Oba, Muhammad Imran Malik:
Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images. IEEE Access 12: 13010-13019 (2024) - [j19]Mansoor Khurshid, Muhammad Shahzad, Hasan Ali Khattak, Muhammad Imran Malik, Muhammad Moazam Fraz:
Vision-Based 3-D Localization of UAV Using Deep Image Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12020-12030 (2024) - 2023
- [j18]Muhammad Imran Malik, Ahmed Ibrahim, Peter Hannay, Leslie F. Sikos:
Developing Resilient Cyber-Physical Systems: A Review of State-of-the-Art Malware Detection Approaches, Gaps, and Future Directions. Comput. 12(4): 79 (2023) - [j17]Zainab Zaman, Saad Bin Ahmed, Muhammad Imran Malik:
Analysis of Hyperspectral Data to Develop an Approach for Document Images. Sensors 23(15): 6845 (2023) - 2022
- [j16]Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions. Comput. Methods Programs Biomed. 215: 106620 (2022) - 2021
- [j15]Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). IEEE Access 9: 19379-19390 (2021) - [j14]Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait:
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 105: 102568 (2021) - [j13]Junaid Younas, Muhammad Imran Malik, Sheraz Ahmed, Faisal Shafait, Paul Lukowicz:
Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph). Expert Syst. Appl. 172: 114588 (2021) - [j12]Saba Gul, Muhammad Imran Malik, Gul Muhammad Khan, Faisal Shafait:
Multi-view gait recognition system using spatio-temporal features and deep learning. Expert Syst. Appl. 179: 115057 (2021) - [j11]Yuchen Zheng, Brian Kenji Iwana, Muhammad Imran Malik, Sheraz Ahmed, Wataru Ohyama, Seiichi Uchida:
Learning the micro deformations by max-pooling for offline signature verification. Pattern Recognit. 118: 108008 (2021) - 2020
- [j10]Muhammad Naseer Bajwa, Suleman Khurram, Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access 8: 115476-115485 (2020) - 2019
- [j9]Moisés Díaz, Miguel A. Ferrer, Donato Impedovo, Muhammad Imran Malik, Giuseppe Pirlo, Réjean Plamondon:
A Perspective Analysis of Handwritten Signature Technology. ACM Comput. Surv. 51(6): 117:1-117:39 (2019) - [j8]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. 19(1): 136:1-136:16 (2019) - [j7]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. 19(1): 153:1 (2019) - 2018
- [j6]Muhammad Imran Malik, Ian McAteer, Peter Hannay, Zubair A. Baig:
Preparing for Secure Wireless Medical Environment in 2050: A Vision. IEEE Access 6: 25666-25674 (2018) - [j5]Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Stefan Agne, Andreas Dengel, Sheraz Ahmed:
DeCNT: Deep Deformable CNN for Table Detection. IEEE Access 6: 74151-74161 (2018) - [j4]Ian McAteer, Peter Hannay, Muhammad Imran Malik, Zubair A. Baig:
Forensic Analysis of a Crash-Damaged Cheerson CX-20 Auto Pathfinder Drone. J. Digit. Forensics Secur. Law 13(4): 5-22 (2018) - [j3]Jameel Malik, Ahmed Elhayek, Sheraz Ahmed, Faisal Shafait, Muhammad Imran Malik, Didier Stricker:
3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor. Sensors 18(11): 3872 (2018) - 2017
- [j2]Zill-e-Huma, Saddam Hussain, Thurasamy Ramayah, Muhammad Imran Malik:
Determinants of cyberloafing: a comparative study of a public and private sector organization. Internet Res. 27(1): 97-117 (2017) - 2016
- [j1]Alina Baber, Thurasamy Ramayah, Muhammad Imran Malik, Bushra Sadiq, Samina Islam, Muhammad Sajjad:
Online word-of-mouth antecedents, attitude and intention-to-purchase electronic products in Pakistan. Telematics Informatics 33(2): 388-400 (2016)
Conference and Workshop Papers
- 2023
- [c39]Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. ICANN (6) 2023: 206-217 - [c38]Maham Jahangir, Muhammad Imran Malik, Faisal Shafait:
Adversarial Attacks on Convolutional Siamese Signature Verification Networks. ICDAR (4) 2023: 350-365 - 2021
- [c37]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane. BHI 2021: 1-4 - [c36]Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, Haider Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki:
Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning. DICTA 2021: 1-8 - 2020
- [c35]Naqash Gerard, Talha Yousuf, Ahmed Husnain Johar, Umer Asgher, Muhammad Imran Malik, Adnan Ul-Hasan, Faisal Shafait:
Detection of Subject Attention in an Active Environment Through Facial Expressions Using Deep Learning Techniques and Computer Vision. AHFE (1) 2020: 326-332 - [c34]Khurram Shehzad, Adnan Ul-Hasan, Muhammad Imran Malik, Faisal Shafait:
Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks. DAS 2020: 398-409 - [c33]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. ICONIP (3) 2020: 38-48 - [c32]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. IJCNN 2020: 1-8 - [c31]Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. IJCNN 2020: 1-7 - [c30]Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. IJCNN 2020: 1-10 - [c29]Safia Shabbir, Muhammad Imran Malik, Imran Siddiqi:
Offline Signature Verification Using Feature Learning and One-Class Classification. MedPRAI 2020: 242-254 - 2019
- [c28]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c27]Javeria Akbar, Muhammad Shahzad, Muhammad Imran Malik, Adnan Ul-Hasan, Faisal Shafait:
Runway Detection and Localization in Aerial Images using Deep Learning. DICTA 2019: 1-8 - [c26]Junaid Younas, Syed Tahseen Raza Rizvi, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Sheraz Ahmed:
FFD: Figure and Formula Detection from Document Images. DICTA 2019: 1-7 - [c25]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) 2019: 639-651 - [c24]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. ICDAR 2019: 1390-1396 - [c23]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Khizar Razzaque, Andreas Dengel, Sheraz Ahmed:
Two Stream Deep Network for Document Image Classification. ICDAR 2019: 1410-1416 - [c22]Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed:
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection. MIUA 2019: 242-253 - 2018
- [c21]Junaid Younas, Stefan Fritsch, Gerald Pirkl, Sheraz Ahmed, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz:
What Am I Writing: Classification of On-Line Handwritten Sequences. Intelligent Environments (Workshops) 2018: 417-426 - 2017
- [c20]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: 248-253 - [c19]Azka Gilani, Shah Rukh Qasim, Muhammad Imran Malik, Faisal Shafait:
Table Detection Using Deep Learning. ICDAR 2017: 771-776 - [c18]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: 908-913 - 2016
- [c17]Umair Muneer Butt, Sheraz Ahmed, Faisal Shafait, Christian Nansen, Ajmal Saeed Mian, Muhammad Imran Malik:
Automatic Signature Segmentation Using Hyper-Spectral Imaging. ICFHR 2016: 19-24 - 2015
- [c16]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: 1111-1115 - [c15]Muhammad Imran Malik, Sheraz Ahmed, Angelo Marcelli, Umapada Pal, Michael Blumenstein, Linda Alewijnse, Marcus Liwicki:
ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015). ICDAR 2015: 1186-1190 - 2014
- [c14]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel, Seiichi Uchida, Volkmar Frinken:
Automatic Signature Stability Analysis and Verification Using Local Features. ICFHR 2014: 621-626 - [c13]Erika Griechisch, Muhammad Imran Malik, Marcus Liwicki:
Online Signature Verification Based on Kolmogorov-Smirnov Distribution Distance. ICFHR 2014: 738-742 - 2013
- [c12]Erika Griechisch, Muhammad Imran Malik, Marcus Liwicki:
Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series. ICDAR 2013: 374-378 - [c11]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification. ICDAR 2013: 872-876 - [c10]Muhammad Imran Malik, Sheraz Ahmed, Marcus Liwicki, Andreas Dengel:
FREAK for Real Time Forensic Signature Verification. ICDAR 2013: 971-975 - [c9]Muhammad Imran Malik, Marcus Liwicki, Linda Alewijnse, Wataru Ohyama, Michael Blumenstein, Bryan Found:
ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013). ICDAR 2013: 1477-1483 - [c8]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Local Features for Forensic Signature Verification. ICIAP Workshops 2013: 103-111 - 2012
- [c7]Muhammad Imran Malik, Sheraz Ahmed, Andreas Dengel, Marcus Liwicki:
A Signature Verification Framework for Digital Pen Applications. Document Analysis Systems 2012: 419-423 - [c6]Sheraz Ahmed, Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Signature Segmentation from Document Images. ICFHR 2012: 425-429 - [c5]Muhammad Imran Malik, Marcus Liwicki:
From Terminology to Evaluation: Performance Assessment of Automatic Signature Verification Systems. ICFHR 2012: 613-618 - [c4]Marcus Liwicki, Muhammad Imran Malik, Linda Alewijnse, C. Elisa van den Heuvel, Bryan Found:
ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012). ICFHR 2012: 823-828 - 2011
- [c3]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Evaluation of Local and Global Features for Offline Signature Verification. AFHA 2011: 26-30 - [c2]Marcus Liwicki, Muhammad Imran Malik, C. Elisa van den Heuvel, Xiaohong Chen, Charles E. H. Berger, Reinoud Stoel, Michael Blumenstein, Bryan Found:
Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011). ICDAR 2011: 1480-1484 - 2010
- [c1]Marcus Liwicki, C. Elisa van den Heuvel, Bryan Found, Muhammad Imran Malik:
Forensic Signature Verification Competition 4NSigComp2010 - Detection of Simulated and Disguised Signatures. ICFHR 2010: 715-720
Editorship
- 2013
- [e1]Muhammad Imran Malik, Marcus Liwicki, Linda Alewijnse, Michael Blumenstein, Charles E. H. Berger, Reinoud Stoel, Bryan Found:
Proceedings of the 2nd ICDAR International Workshop on Automated Forensic Handwriting Analysis, AFHA 2013, Washington DC, USA, 22-23 August 2013. CEUR Workshop Proceedings 1022, CEUR-WS.org 2013 [contents]
Informal and Other Publications
- 2024
- [i13]Moisés Díaz, Miguel A. Ferrer, Donato Impedovo, Muhammad Imran Malik, Giuseppe Pirlo, Rejean Plamondon:
A Perspective Analysis of Handwritten Signature Technology. CoRR abs/2405.13555 (2024) - 2022
- [i12]Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions. CoRR abs/2201.01249 (2022) - [i11]Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. CoRR abs/2202.03903 (2022) - [i10]Umaid M. Zaffar, Marium Aslam, Muhammad Imran Malik, Saad Bin Ahmed:
Few-Shot Learning for Biometric Verification. CoRR abs/2211.06761 (2022) - 2020
- [i9]Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. CoRR abs/2005.02000 (2020) - [i8]Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. CoRR abs/2005.14284 (2020) - [i7]Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed:
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection. CoRR abs/2005.14308 (2020) - [i6]Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. CoRR abs/2006.09158 (2020) - 2019
- [i5]Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed:
KINN: Incorporating Expert Knowledge in Neural Networks. CoRR abs/1902.05653 (2019) - [i4]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. CoRR abs/1909.05478 (2019) - [i3]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC). CoRR abs/1912.11356 (2019) - 2017
- [i2]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 abs/1705.11181 (2017) - 2016
- [i1]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 abs/1605.01189 (2016)
Coauthor Index
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