Michael Blumenstein

About Michael Blumenstein

Michael Blumenstein, With an exceptional h-index of 48 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Technology & Management, specializes in the field of Artificial Intelligence, Machine Learning, Pattern Recognition, Environmental Informatics, Document Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dual-Personalizing Adapter for Federated Foundation Models

A new deep CNN for 3D text localization in the wild through shadow removal

A Locally Weighted Linear Regression Based Approach for Arbitrary Moving Shaky and Non-Shaky Video Classification

Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation

Classification of aesthetic natural scene images using statistical and semantic features

A New Transformer-Based Approach for Text Detection in Shaky and Non-shaky Day-Night Video

Maritime Surveillance Using Instance Segmentation Techniques

FAST: Font-Agnostic Scene Text Editing

Michael Blumenstein Information

University

Position

Professor and Associate Dean Research

Citations(all)

8039

Citations(since 2020)

4380

Cited By

5351

hIndex(all)

48

hIndex(since 2020)

36

i10Index(all)

183

i10Index(since 2020)

115

Email

University Profile Page

University of Technology & Management

Google Scholar

View Google Scholar Profile

Michael Blumenstein Skills & Research Interests

Artificial Intelligence

Machine Learning

Pattern Recognition

Environmental Informatics

Document Analysis

Top articles of Michael Blumenstein

Title

Journal

Author(s)

Publication Date

Dual-Personalizing Adapter for Federated Foundation Models

arXiv preprint arXiv:2403.19211

Yiyuan Yang

Guodong Long

Tao Shen

Jing Jiang

Michael Blumenstein

2024/3/28

A new deep CNN for 3D text localization in the wild through shadow removal

Computer Vision and Image Understanding

Palaiahnakote Shivakumara

Ayan Banerjee

Lokesh Nandanwar

Umapada Pal

Apostolos Antonacopoulos

...

2024/1/1

A Locally Weighted Linear Regression Based Approach for Arbitrary Moving Shaky and Non-Shaky Video Classification

International Journal of Pattern Recognition and Artificial Intelligence

Arnab Halder

Palaiahnakote Shivakumara

Umapada Pal

Michael Blumenstein

Palash Ghosal

2023/12/8

Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation

Weikuan Wang

Tao Shen

Michael Blumenstein

Guodong Long

2023/8/27

Classification of aesthetic natural scene images using statistical and semantic features

Multimedia Tools and Applications

Kunal Biswas

Palaiahnakote Shivakumara

Umapada Pal

Tong Lu

Michael Blumenstein

...

2023/4

A New Transformer-Based Approach for Text Detection in Shaky and Non-shaky Day-Night Video

Arnab Halder

Palaiahnakote Shivakumara

Umapada Pal

Tong Lu

Michael Blumenstein

2023/11/5

Maritime Surveillance Using Instance Segmentation Techniques

Rabi Sharma

Muhammad Saqib

CT Lin

Michael Blumenstein

2023/3/23

FAST: Font-Agnostic Scene Text Editing

arXiv preprint arXiv:2308.02905

Alloy Das

Prasun Roy

Saumik Bhattacharya

Subhankar Ghosh

Umapada Pal

...

2023/8/5

Pattern Recognition: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part I

Huimin Lu

Michael Blumenstein

Sung-Bae Cho

Cheng-Lin Liu

Yasushi Yagi

...

2023/11/4

Global Context-Aware Person Image Generation

arXiv preprint arXiv:2302.14728

Prasun Roy

Saumik Bhattacharya

Subhankar Ghosh

Umapada Pal

Michael Blumenstein

2023/2/28

A new robust approach for altered handwritten text detection

Multimedia Tools and Applications

Gayatri Patil

Palaiahnakote Shivakumara

Shivanand S Gornale

Umapada Pal

Michael Blumenstein

2023/6

A New Few-Shot Learning-based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images through Edge Detection and Reverse Validation

IEEE Signal Processing Letters

Kaijun Liu

Shujing Lyu

Palaiahnakote Shivakumara

Michael Blumenstein

Yue Lu

2023/10/19

Selective rubidium recovery from seawater with metal-organic framework incorporated potassium cobalt hexacyanoferrate nanomaterial

Chemical Engineering Journal

Youngwoo Choo

Nawshad Akther

Sharaniya Roobavannan

Ahmad Norouzi

Vipul Gupta

...

2023/2/15

Writer age estimation through handwriting

Multimedia Tools and Applications

Zhiheng Huang

Palaiahnakote Shivakumara

Maryam Asadzadeh Kaljahi

Ahlad Kumar

Umapada Pal

...

2023/5

TIC: text-guided image colorization using conditional generative model

arXiv preprint arXiv:2208.02843

Subhankar Ghosh

Prasun Roy

Saumik Bhattacharya

Umapada Pal

Michael Blumenstein

2022/8/4

MMC: Multi-Modal Colorization of Images using Textual Descriptions

arXiv preprint arXiv:2304.11993

Subhankar Ghosh

Saumik Bhattacharya

Prasun Roy

Umapada Pal

Michael Blumenstein

2023/4/24

A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis

Chandranath Adak

Bidyut B Chaudhuri

Michael Blumenstein

2022

New Deep Spatio-Structural Features of Handwritten Text Lines for Document Age Classification

International Journal of Pattern Recognition and Artificial Intelligence

Palaiahnakote Shivakumara

Alloy Das

KS Raghunandan

Umapada Pal

Michael Blumenstein

2022/7/6

A Survey on Object Instance Segmentation

SN Computer Science

Rabi Sharma

Muhammad Saqib

Chin-Teng Lin

Michael Blumenstein

2022/9/29

A new method for detection and prediction of occluded text in natural scene images

Signal Processing: Image Communication

Ayush Mittal

Palaiahnakote Shivakumara

Umapada Pal

Tong Lu

Michael Blumenstein

2022/1/1

See List of Professors in Michael Blumenstein University(University of Technology & Management)

Co-Authors

H-index: 74
Chew Lim Tan

Chew Lim Tan

National University of Singapore

H-index: 63
Bidyut Baran Chaudhuri

Bidyut Baran Chaudhuri

Indian Statistical Institute

H-index: 46
Miguel Angel Ferrer

Miguel Angel Ferrer

Universidad de Las Palmas de Gran Canaria

H-index: 42
Damien Giurco

Damien Giurco

University of Technology Sydney

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