Sareer Ul Amin

I received a bachelor's degree in computer science from Islamia College, Peshawar, Pakistan, advised by Prof. Mohammad Sajjad. Currently, I am working as a research assistant at the Graphic Realization Lab (GR Lab). My research interests include video analysis, medical image analysis, image segmentation, object detection, image processing, computer vision, machine learning, and deep learning. Feel free to contact me if you are interested in research collaborations in the relevant areas.

Contact: sareerulamin320@gmail.com

News & Activities

  • December 2023: Our paper "Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application" got accepted in NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 2023. [Link]
  • October 2023: Our paper "Deep learning based active learning technique for data annotation and improve the overall performance of classification models" was accepted to Expert Systems with Applications, available here
  • April 2023: Our "An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video" got published
  • July 2022: I attended Platcon2022 conference at Jeju Island, Republic of Korea
  • March 2022: I joined Graphics Realization Lab, Department of Computer Science and Engineering, Chung-Ang University as a Research Assistant Professor
  • December 2021: I won Chung‑Ang University Young Scientist Scholarship (CAYSS) award

Publications

A comprehensive approach for image quality assessment using quality-centric embedding and ranking networks
SAREER UL AMIN, Zeeshan Ali Haider, Muhammad Fayaz, Fida Muhammad Khan, Hyeonjoon Moon, SANGHYUN SEO*
Pattern Recognition, 2025.
[IF : 7.6, Rank Q1]
[Link]
Enhancing pine wilt disease detection with synthetic data and external attention-based transformers
SAREER UL AMIN, YONGHOON JUNG, Muhammad Fayaz, BUMSOO KiM, SANGHYUN SEO*
Engineering Applications of Artificial Intelligence, 2025.
[IF : 8.0, Rank Q1]
[Link]
Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and LSTM Modules
SAREER UL AMIN, BUMSOO KiM, YONGHOON JUNG, SANGHYUN SEO, AND SANGOH PARK*
Advanced Intelligent Systems, 2024.
[IF : 7.4, Rank Q1]
[Link]
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
SAREER UL AMIN, Sher Taj, Adnan Hussain, Sanghyun Seo*
Biomedical Signal Processing and Control, 2024.
[IF : 5.1, Rank Q1]
[Link]
Enhanced anomaly detection in pandemic surveillance videos: An attention approach with EfficientNet-B0 and CBAM integration
SAREER UL AMIN, Muhammad Sibtain Abbas, Bumsoo Kim, Yonghoon Jung, Sanghyun Seo*
IEEE Access , 2024.
[IF : 3.9, Rank Q2]
[Link]
Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach
Yonghoon Jung, Sanghyun Byun, Bumsoo Kim, SAREER UL AMIN, Sanghyun Seo*
Computers and Electronics in Agriculture, 2024.
[IF : 8.9, Rank Q1]
[Link]
Deep learning based active learning technique for data annotation and improve the overall performance of classification models
SAREER UL AMIN, Adnan Hussain, Bumsoo Kim, Sanghyun Seo*
Expert Systems with Applications, 2023.
[IF : 8.66, Rank Q1]
[Link]
An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video
SAREER UL AMIN, Yongjun Kim, Irfan Sami, Sangoh Park, Sanghyun Seo*
Computer Systems Science and Engineering, 2023.
[IF : 4.397, Rank Q1]
[Link]
An Automated Chest X-Ray Image Analysis for Covid-19 and Pneumonia Diagnosis using Deep Ensemble Strategy
SAREER UL AMIN, Adnan Hussain, Hunjoo Lee, Asma Khan, Noreen Fayyaz Khan, Sanghyun Seo*
IEEE Access, 2023.
[IF : 3.9, Rank Q2]
[Link]
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
Bumsoo Kim, Sanghyun Byun, Yonghoon Jung, Wonseop Shin, SAREER UL AMIN, Sanghyun Seo*
NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 2023.
[Link]
Serious games in science education. A systematic literature review
Mohib Ullah*, SAREER UL AMIN, Muhammad Munsif, Utkurbek Safaev, Habib Khan, Salman Khan, Habib Ullah
Virtual Reality & Intelligent Hardware , 2022.
[Link]
EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos
SAREER UL AMIN, Mohib Ullah, Muhammad Sajjad*, Faouzi Alaya Cheikh, Mohammad Hijji, Abdulrahman Hijji, Khan Muhammad*
Mathematics, 2022.
[IF : 2.592, Rank Q1]
[Link]

Conferences Attended

Configurable Privacy-Preserving Action Recognition with Adaptive Depthwise Filtering
The 21th International Conference on Multimedia Information Technology and Application, 2025
Jeju City, Republic of Korea
An attention Based Deep Learning Approach for Video Anomaly Detection, 2022
Platcon2022, Jeju Island, Republic of Korea
(ETRI2021)
Detection of Pine Wilt Disease Using Lightweight Deep Learning Algorithms, 2022
Platcon2022, Jeju Island, Republic of Korea
(KFS2021)
Minecraft‑ify: Minecraft Style Image Generation with Text‑guided Image Editing for In‑Game Application, 2022
NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, New Orleans, US
(NRF)

Work Experience


Honors & Awards


Academic Service


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