Quazi Computer Vision | AI | Machine Learning | LLM | AWS

Research


After completing my Bachelor’s and Master’s degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh, I earned my PhD from Queensland University of Technology, Australia, under the supervision of Dr. Feras Dayoub in September 2021.

My PhD research, titled “Performance Monitoring of Deep Learning Vision Systems During Deployment”, focuses on improving the reliability and accuracy of vision systems in mobile robots. I developed new methods to handle challenges in monitoring object detection and semantic segmentation performance.

These advancements help us better monitor deep learning vision systems during deployment, without needing ground truth labels.

You can read more about these discoveries in my publications below.

  1. Rahman, Quazi Marufur, Niko Sünderhauf, Peter Corke, and Feras Dayoub. “FSNet: A failure detection framework for semantic segmentation.” IEEE Robotics and Automation Letters 7, no. 2 (2022): 3030-3037.

  2. Rahman, Quazi Marufur, Niko Sünderhauf, and Feras Dayoub. “Online Monitoring of Object Detection Performance During Deployment.” In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4839-4845. IEEE, 2021.

  3. Rahman, Quazi Marufur, Peter Corke, and Feras Dayoub. “Run-time monitoring of machine learning for robotic perception: A survey of emerging trends.” IEEE Access 9 (2021): 20067-20075.

  4. Rahman, Quazi Marufur, Niko Sunderhauf, and Feras Dayoub. “Per-frame mAP prediction for continuous performance monitoring of object detection during deployment.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 152-160. 2021.

  5. Rahman, Quazi Marufur, Niko Sünderhauf, and Feras Dayoub. “Did you miss the sign? A false negative alarm system for traffic sign detectors.” In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3748-3753. IEEE, 2019.

  6. Rahman, Quazi Marufur, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, and Carson K. Leung. “A sliding window-based algorithm for detecting leaders from social network action streams.” In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 1, pp. 133-136. IEEE, 2015.

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