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Computer Science

D-Index
46
Citations
7640
World Ranking
6906
National Ranking
218

Overview

Michael Blumenstein is affiliated with the University of Technology Sydney in Australia. Their research primarily spans the fields of computer science and engineering, with a focus on computer vision and pattern recognition, artificial intelligence, media technology, ocean engineering, and molecular biology.

The scientist's work covers various subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Ocean Engineering
  • Molecular Biology

Their research topics encompass:

  • Handwritten Text Recognition Techniques
  • Vehicle License Plate Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Image Processing and 3D Reconstruction
  • Advanced Neural Network Applications
  • Digital Media Forensic Detection

Michael Blumenstein has a significant publication presence in various venues, notably:

  • arXiv (Cornell University)
  • International Journal of Pattern Recognition and Artificial Intelligence
  • Multimedia Tools and Applications
  • SSRN Electronic Journal
  • Water

Some of their recent papers include:

  • Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review, 2020, Water
  • A Survey on Object Instance Segmentation, 2022, SN Computer Science
  • Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks, 2020, Concurrency and Computation Practice and Experience
  • Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification, 2020, arXiv (Cornell University)
  • Selective rubidium recovery from seawater with metal-organic framework incorporated potassium cobalt hexacyanoferrate nanomaterial, 2022, Chemical Engineering Journal

The researcher has collaborated frequently with co-authors such as:

  • Umapada Pal
  • Palaiahnakote Shivakumara
  • Tong Lü
  • Saumik Bhattacharya
  • Subhankar Ghosh

Michael Blumenstein has contributed to multiple book publications with Springer Science+Business Media, including works titled Pattern Recognition published in 2023.

Best Publications

  • A study on detecting drones using deep convolutional neural networks

    Muhammad Saqib;Sultan Daud Khan;Nabin Sharma;Michael Blumenstein

  • A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review

    Reza Ghanbarzadeh;Amir Hossein Ghapanchi;Michael Myer Blumenstein;Amir Talaei-Khoei

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

    Marcus Liwicki;Muhammad Imran Malik;C. Elisa van den Heuvel;Xiaohong Chen

  • A novel feature extraction technique for the recognition of segmented handwritten characters

    M. Blumenstein;B. Verma;H. Basli

  • Recent advances in video-based human action recognition using deep learning: A review

    Di Wu;Nabin Sharma;Michael Blumenstein

  • Towards UAV-based bridge inspection systems: a review and an application perspective

    Brodie Chan;Hong Guan;Jun Jo;Michael Blumenstein

  • Cloud computing as a facilitator of SME entrepreneurship

    Peter Keith Ross;Michael Myer Blumenstein

  • Near-shore swell estimation from a global wind-wave model: Spectral process, linear, and artificial neural network models

    Matthew Browne;Bruno Olivier Castelle;Darrell Strauss;Rodger Benson Tomlinson

  • Performance of an Off-Line Signature Verification Method Based on Texture Features on a Large Indic-Script Signature Dataset

    Srikanta Pal;Alireza Alaei;Umapada Pal;Michael Blumenstein

  • Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider

    Rodney A. Stewart;Khoi Anh Nguyen;Cara D. Beal;Hong Zhang

  • A modified direction feature for cursive character recognition

    M. Blumenstein;X.Y. Liu;B. Verma

  • Global Features for the Off-Line Signature Verification Problem

    Vu Nguyen;Michael Blumenstein;Graham Leedham

  • ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)

    Muhammad Imran Malik;Sheraz Ahmed;Angelo Marcelli;Umapada Pal

  • Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)

    Jaeho Lee;Kamalarasa Sanmugarasa;Michael Blumenstein;Yew-Chaye Loo

  • Drone Detection in Long-Range Surveillance Videos

    Mrunalini Nalamati;Ankit Kapoor;Muhammed Saqib;Nabin Sharma

  • Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines

    Vu Nguyen;M. Blumenstein;V. Muthukkumarasamy;G. Leedham

  • Drone-vs-Bird Detection Challenge at IEEE AVSS2019

    Angelo Coluccia;Muhammad Saqib;Nabin Sharma;Michael Blumenstein

  • Cloud computing: the nexus of strategy and technology

    Peter Keith Ross;Michael Myer Blumenstein

  • Off-line Signature Verification based on the Modified Direction Feature

    S. Armand;M. Blumenstein;V. Muthukkumarasamy

  • Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.

    Wensi Tang;Guodong Long;Lu Liu;Tianyi Zhou

  • An investigation of the modified direction feature for cursive character recognition

    Michael Blumenstein;Xin Yu Liu;Brijesh Verma

Frequent Co-Authors

Umapada Pal
Umapada Pal Indian Statistical Institute
Palaiahnakote Shivakumara
Palaiahnakote Shivakumara University of Salford
Hong Guan
Hong Guan Griffith University
Tong Lu
Tong Lu Nanjing University
Brijesh Verma
Brijesh Verma Central Queensland University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Miguel Ferrer
Miguel Ferrer University of Las Palmas de Gran Canaria
Changming Sun
Changming Sun Commonwealth Scientific and Industrial Research Organisation
Dong-Sheng Jeng
Dong-Sheng Jeng Griffith University
Matthew Browne
Matthew Browne Central Queensland University

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