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.
Aminul was a diligent student with great leading capability and expertise of software development. He is also innovative and good human being.
Aminul Islam is a skilled manager who can arrange and manage a group work efficiently and successfully in the shortest possible time.
Aminul Islam brought insight and energy to the classroom and other IT related activities. He was so much talented student of our discipline.
Course GPA: 3.75 out of 4.00, Completed thesis titled "A Study on the Effect of Seam, Color and Boundary Priors on Salient Region Detection" in Computer Vision, published two conference papers under supervisor: Prof. Dr. Sk. Md. Masudul Ahsan
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
GPA 5.00 out of 5.00 from science group of Dhaka City College
GPA 5.00 out of 5.00 from science group of Tahfizul Quranil Karim Alim Madrasah
Joined again after completing M.Sc. Eng. from KUET.
Served as the CTO as well as significantly contributed to different software systems.
Served as a team lead in different software development projects including ERP Application, Smartphone Apps, online food ordering system, eCommerce applications and many more.
2019 |
Saliency detection using the combination of boundary aware color-map and seam-map Conference 5th IEEE Intl. Conf. on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019, ISBN: 978-1-7281-3060-6. |
2018 |
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. |
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]
| 1. | Saliency detection using the combination of boundary aware color-map and seam-map Conference 5th IEEE Intl. Conf. on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019, ISBN: 978-1-7281-3060-6. |
| 2. | 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. |
| 3. | Boundary aware regional contrast based visual saliency detection (BARC) Conference 21st Intl. Symposium on Artificial Life and Robotics (ISAROB '16), Japan, 2016. |
| 4. | Context-Aware Saliency Detection Conference IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012. |
| 5. | Global contrast based salient region detection Conference Proc. CVPR, 2011. |
| 6. | Visual saliency detection by spatially weighted dissimilarity Conference Proc. CVPR, 2011. |
| 7. | Saliency detection using maximum symmetric surround Conference Proc. IEEE Int. Conf. Image Processing, 2010. |
| 8. | Frequency-tuned salient region detection Conference Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009. |
| 9. | Saliency, attention, and visual search: An information theoretic approach Journal Article In: Journal of Vision, 2009. |
| 10. | Graph-Based Visual Saliency Conference 2007. |
| 11. | Visual Attention Detection in Video Sequences Using Spatiotemporal Cues Conference Proc. of the 14th ACM Int. Conf. on Multimedia, 2006. |