Aminul Islam

Hello! This is Aminul Islam. I am a family guy with affection to technologies. This is my personal website and it contains updated information on me. Here, my research and publications as well as my creative software works will be showcased. I will also post some tips for problems I face while developing my projects.

I am a person with great interest in information technology. I am highly ambitious. Computer vision is my favorite research field and I also love to design and develop useful software. I have several android applications published in Google Play.

Besides my study, I enjoy traveling, reading novels and passing time with my family.

What I Do

Computer Vision Research

Already published two conf. papers and interested to do further research in this field.

Software Development

Developed different software applications to help managing small to medium sized businesses.

Database Design

I am good at database design and already completed different complex designs for different business software.

Management

I have lead several teams at L A Technologies and helped the company to make successful projects.

Testimonials

Resume

7 Years of Experience

Education

Current
Khulna University of Engineering & Technology

MSc Engg in Computer Science & Engineering

Course GPA: 3.85 out of 4.00, Doing research in Computer Vision, published two conference papers under supervisor: Prof. Dr. Sk. Md. Masudul Ahsan

2013
Khulna University

BSc in Computer Science & Engineering

CGPA 3.87 out of 4.00 which was the highest in the class. Supervisor: Prof. Dr. Kamrul Hasan Talukder, Thesis: From Images to Shape Models with Faster Object Detection Technique

2008
Dhaka Board

Higher Secondary School Certificate

GPA 5.00 out of 5.00 from science group of Dhaka City College

2006
Madrasah Board

Secondary School Certificate

GPA 5.00 out of 5.00 from science group of Tahfizul Quranil Karim Alim Madrasah

Experience

2016 - 2019
L A Technologies

Chief Technology Officer

Served as the CTO as well as significantly contributed to different software systems.

2013 - 2016
L A Technologies

Software Engineer

Served as a team lead in different software development projects including ERP Application, Smartphone Apps, online food ordering system, eCommerce applications and many more.

Language Skills

Bangla

95%

English

85%

Arabic

60%

C#

90%

Java

70%

PHP

80%

Coding Skills

ASP .net

90%

Matlab

85%

Telerik

80%

Database

90%

Publications

My Works

2019

Aminul Islam; Sk Md Masudul Ahsan; Joo Kooi Tan

Saliency detection using the combination of boundary aware color-map and seam-map (Accepted) Conference

5th IEEE Intl. Conf. on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019.

Abstract | BibTeX

2018

Aminul Islam; Sk Md Masudul Ahsan; Joo Kooi Tan

Saliency detection using boundary aware regional contrast based seam-map Conference

IEEE International Conference on Innovation in Engineering and Technology (ICIET), Bangladesh, 2018, ISBN: 978-1-5386-5229-9.

Abstract | Links | BibTeX

Research

Computer Vision Research

Saliency detection using the combination of boundary aware color-map and seam-map

Fig. 1: Qualitative comparison of final saliency output of different methods with our method.

 

Fig. 2: Precision Recall curve

Fig. 3: Precision recall at maximum F values of different methods.

The standard MSRA 1K Dataset is used in this study which is a subset of widely used MSRA dataset. It contains 1000 images with complex backgrounds and low contrast objects along with their manually labelled ground truth images. For experimental purpose, each input image is divided into regions or superpixels. Each region size is approximately 600 pixels.

In Fig. 1 a qualitative analysis of the study is presented. It is visible that our proposed approach shows better results.

For evaluating performance, precision-recall (PR) curves are used as seen in Fig. 2. Each curve is plotted by comparing the input image’s ground truth against the binary mask of optimized final saliency map which is normalized with a threshold from 0 to 255. Our latest method gives the most appealing result as seen in Fig. 2. 

Commonly used PR curves only consider whether the object saliency is higher than the background saliency. So, F-measure is calculated in Fig. 3. Here, also our latest method shows better result than other compared methods.

Here, the compared researches in Fig. 1,2 and 3 are AIM [9], CA [4], FT [8], GB [10], HC [5], LC [11], MSS [7], SWD [6], BARC [3] and BARCS [2]

Downloads

References

1.

Aminul Islam; Sk Md Masudul Ahsan; Joo Kooi Tan

Saliency detection using the combination of boundary aware color-map and seam-map (Accepted) Conference

5th IEEE Intl. Conf. on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019.

Abstract | BibTeX

2.

Aminul Islam; Sk Md Masudul Ahsan; Joo Kooi Tan

Saliency detection using boundary aware regional contrast based seam-map Conference

IEEE International Conference on Innovation in Engineering and Technology (ICIET), Bangladesh, 2018, ISBN: 978-1-5386-5229-9.

Abstract | Links | BibTeX

3.

Sk Md Masudul Ahsan; Joo Kooi Tan; Hyoungseop Kim; Seiji Ishikawa

Boundary aware regional contrast based visual saliency detection (BARC) Conference

21st Intl. Symposium on Artificial Life and Robotics (ISAROB '16), Japan, 2016.

BibTeX

4.

S. Goferman; L. Zelnik-Manor; A. Tal

Context-Aware Saliency Detection Conference

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.

BibTeX

5.

M. Cheng; G. Zhang; N. J. Mitra; X. Huang; S. Hu

Global contrast based salient region detection Conference

Proc. CVPR, 2011.

BibTeX

6.

L. Duan; C. Wu; J. Miao; L. Qing; Y. Fu

Visual saliency detection by spatially weighted dissimilarity Conference

Proc. CVPR, 2011.

BibTeX

7.

R. Achanta; S. Süsstrunk

Saliency detection using maximum symmetric surround Conference

Proc. IEEE Int. Conf. Image Processing, 2010.

BibTeX

8.

R. Achanta; S. Hemami; F. Estrada; S. Susstrunk

Frequency-tuned salient region detection Conference

Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.

BibTeX

9.

N. D. B. Bruce; J. K. Tsotsos

Saliency, attention, and visual search: An information theoretic approach Journal Article

In: Journal of Vision, 2009.

BibTeX

10.

Bernhard Schölkopf; John Platt; Thomas Hofmann

Graph-Based Visual Saliency Conference

2007.

BibTeX

11.

Zhai, Yun; Shah, Mubarak

Visual Attention Detection in Video Sequences Using Spatiotemporal Cues Conference

Proc. of the 14th ACM Int. Conf. on Multimedia, 2006.

BibTeX

Contact

Get in Touch

+880-1911013641

Khulna

imonhf@gmail.com

Freelance Available

How Can I Help You?

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