Muhammad Imran Malik

发表

Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks

Muhammad Naseer Bajwa, Kaoru Muta, Muhammad Imran Malik, 2020, Applied Sciences.

DeCNT: Deep Deformable CNN for Table Detection

Andreas Dengel, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, 2018, IEEE Access.

Man vs. Machine: A comparative analysis for Signature Verification

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2014 .

Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)

Marcus Liwicki, Muhammad Imran Malik, Xiaohong Chen, 2011, 2011 International Conference on Document Analysis and Recognition.

KINN: Incorporating Expert Knowledge in Neural Networks pdf

Andreas Dengel, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, 2019, AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering.

ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012)

Marcus Liwicki, Muhammad Imran Malik, Linda Alewijnse, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

A Perspective Analysis of Handwritten Signature Technology

Miguel Angel Ferrer-Ballester, Miguel A. Ferrer, Muhammad Imran Malik, 2019, ACM Comput. Surv..

A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents pdf

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2016, ArXiv.

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Andreas Dengel, Muhammad Naseer Bajwa, Muhammad Imran Malik, 2019, BMC Medical Informatics and Decision Making.

Mitigating man-in-the-middle attacks on mobile devices by blocking insecure http traffic without using vpn

Muhammad Imran Malik, Peter Hannay, Kevin Chong, 2018 .

TOWARDS A SHARED CONCEPTUALIZATION FOR AUTOMATIC SIGNATURE VERIFICATION

Marcus Liwicki, Muhammad Imran Malik, Charles E.H. Berger, 2014 .

Signature Verification: Recent Developments and Perspectives

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2018 .

D-StaR: A Generic Method for Stamp Segmentation from Document Images

Paul Lukowicz, Muhammad Imran Malik, Sheraz Ahmed, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

A Robust Hybrid Approach for Textual Document Classification

Andreas Dengel, Muhammad Imran Malik, Sheraz Ahmed, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Forensic Signature Verification Competition 4NSigComp2010 - Detection of Simulated and Disguised Signatures

Marcus Liwicki, Muhammad Imran Malik, Bryan Found, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

Proceedings of the 2nd International Workshop on Automated Forensic Handwriting Analysis: A Satellite Workshop of International Conference on Document Analysis and Recognition (ICDAR 2013), Washington DC, USA

Marcus Liwicki, Muhammad Imran Malik, Linda Alewijnse, 2013 .

Automatic Signature Stability Analysis and Verification Using Local Features

Volkmar Frinken, Marcus Liwicki, Andreas Dengel, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Energy Depletion in MANET While Using AODV Routing Protocol

Muhammad Imran Malik, Umar Farooq, Shen Ting Zhi, 2012 .

FFD: Figure and Formula Detection from Document Images

Paul Lukowicz, Muhammad Imran Malik, Sheraz Ahmed, 2019, 2019 Digital Image Computing: Techniques and Applications (DICTA).

Table Detection Using Deep Learning

Muhammad Imran Malik, Faisal Shafait, Azka Gilani, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

FREAK for Real Time Forensic Signature Verification

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2013, 2013 12th International Conference on Document Analysis and Recognition.

XMPP architecture and security challenges in an IoT ecosystem

Muhammad Imran Malik, Zubair A. Baig, Peter Hannay, 2018 .

Sum-Rate Maximization of Multi-User OFDMA Two-way Relay Networks under Sub-Carrier Pairing and Fairness Constraints

S. A. Qureshi, Muhammad Imran Malik, Abdul Malik, 2016 .

Local Features for Forensic Signature Verification

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2013, ICIAP Workshops.

Security vulnerabilities in android applications

Muhammad Imran Malik, Peter Hannay, Ian Noel McAteer, 2018 .

AUTOMATION IN FIELD OF THERMOGRAPHY OF ELECTRICAL SUBSTATIONS BY IMAGE PROCESSING TOOLS

Muhammad Imran Malik, Kashif Habib, Muhammad Abrar, 2017 .

Latency aware routing mechanism to maximize the life time of MANETs

Muhammad Imran Malik, Umar Farooq, Shen Ting Zhi, 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Muhammad Naseer Bajwa, Muhammad Imran Malik, Stephan Alexander Braun, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

ON-DEMAND CLUSTER FORMATION BASED ROUTING TO ACHIEVE ENERGY EFFICIENCY IN MOBILE AD HOC NETWORKS

Muhammad Imran Malik, Farhan Manzoor, Muhammad Iqbal, 2013 .

Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks

Muhammad Imran Malik, Adnan Ul-Hasan, Faisal Shafait, 2020, DAS.

pH-sensitive drug delivery systems

Muhammad Imran Malik, Muhammad Latif, Abdul Ghaffar, 2020 .

Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Signature Segmentation from Document Images

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Strategic management model with lens of knowledge management and competitive intelligence: A review approach

Muhammad Imran Malik, Ramayah Thurasamy, Muhammad Shujahat, 2017 .

Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection pdf

Muhammad Naseer Bajwa, Muhammad Imran Malik, Sheraz Ahmed, 2019, MIUA.

AirScript - Creating Documents in Air

Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Preparing for Secure Wireless Medical Environment in 2050: A Vision

Muhammad Imran Malik, Zubair A. Baig, Peter Hannay, 2018, IEEE Access.

Workplace Fun as Determinant of Teachers' Performance in Pakistani Universities

Muhammad Imran Malik, Muhammad Sajjad, 2015 .

Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series

Marcus Liwicki, Muhammad Imran Malik, Erika Griechisch, 2013, 2013 12th International Conference on Document Analysis and Recognition.

ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015)

Marcus Liwicki, Muhammad Imran Malik, Sheraz Ahmed, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

From Terminology to Evaluation: Performance Assessment of Automatic Signature Verification Systems

Marcus Liwicki, Muhammad Imran Malik, M. Liwicki, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Online Signature Verification Based on Kolmogorov-Smirnov Distribution Distance

Marcus Liwicki, Muhammad Imran Malik, Erika Griechisch, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Two Stream Deep Network for Document Image Classification

Muhammad Imran Malik, Sheraz Ahmed, Andreas Dengel, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

K-mer Neural Embedding Performance Analysis Using Amino Acid Codons

Muhammad Imran Malik, Andreas Dengel, Muhammad Nabeel Asim, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Faisal Shafait, 2018 .

Security vulnerabilities and cyber threat analysis of the AMQP protocol for the internet of things

Muhammad Imran Malik, Zubair A. Baig, Peter Hannay, 2017 .

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC) pdf

Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, 2019, IEEE Access.

What Am I Writing: Classification of On-Line Handwritten Sequences

Paul Lukowicz, Muhammad Imran Malik, Sheraz Ahmed, 2018, Intelligent Environments.

3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor

Didier Stricker, Muhammad Imran Malik, Sheraz Ahmed, 2018, Sensors.

Online word-of-mouth antecedents, attitude and intention-to-purchase electronic products in Pakistan

Muhammad Imran Malik, Thurasamy Ramayah, Muhammad Sajjad, 2016, Telematics Informatics.

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Andreas Dengel, Muhammad Naseer Bajwa, Muhammad Imran Malik, 2019, BMC Medical Informatics and Decision Making.

Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science

Muhammad Imran Malik, M. I. Malik, 2015 .

LOCAL FEATURES FOR OFF-LINE FORENSIC SIGNATURE VERIFICATION

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2014 .

Forensic Analysis of a Crash-Damaged Cheerson CX-20 Auto Pathfinder Drone

Muhammad Imran Malik, Zubair A. Baig, Peter Hannay, 2018, J. Digit. Forensics Secur. Law.

A Signature Verification Framework for Digital Pen Applications

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.

Hyper-spectral Analysis for Automatic Signature Extraction

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2015 .

Automatic Signature Segmentation Using Hyper-Spectral Imaging

Ajmal S. Mian, Muhammad Imran Malik, Sheraz Ahmed, 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

Paul Lukowicz, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, 2020, Applied Sciences.

Deepdocclassifier: Document classification with deep Convolutional Neural Network

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, 2019, ICANN.

Evaluation of Local and Global Features for Offline Signature Verification

Marcus Liwicki, Andreas Dengel, Muhammad Imran Malik, 2011, AFHA.

ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane

Andreas Dengel, Muhammad Imran Malik, Muhammad Nabeel Asim, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning

Norbert Wehn, Marcus Liwicki, Muhammad Imran Malik, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions pdf

Andreas Dengel, Muhammad Naseer Bajwa, Muhammad Imran Malik, 2022, Comput. Methods Programs Biomed..

Multi-view gait recognition system using spatio-temporal features and deep learning

Gul Muhammad Khan, Muhammad Imran Malik, Faisal Shafait, 2021, Expert Syst. Appl..

Learning the micro deformations by max-pooling for offline signature verification

Wataru Ohyama, Muhammad Imran Malik, Seiichi Uchida, 2021, Pattern Recognit..

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery

Muhammad Imran Malik, Adrian Ulges, Ulrich Schwanecke, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph)

Paul Lukowicz, Muhammad Imran Malik, Faisal Shafait, 2021, Expert Syst. Appl..