Description
Muhammad Munsif received his Ph.D. degree in Software Convergence from Sejong University, Seoul, South Korea. He has been a Research Assistant at the Intelligent Media Laboratory (IM Lab), Sejong University. His research interests include computer vision, video analytics, multimodal and multi-view action recognition, and intelligent systems.. He is currently in the InnoCORE Postdoctoral Fellowship Track at Ulsan National Institute of Science and Technology (UNIST), South Korea.
Publications in IMLab Lab
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International Journal Papers
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Quality over quantity: a data-centric survey of annotation errors in object detection datasets
Adnan Hussain, Kaleem Ullah, Muhammad Afaq, Muhammad Munsif, Altaf Hussain, Sung Wook Baik*
Artificial Intelligence Review, 2026 [π Online] -
Action understanding in low-light and pitch-dark conditions: A comprehensive survey
Muhammad Munsif, Samee Ullah Khan, Noman Khan, Altaf Hussain, Sung Wook Baik*
Engineering Applications of Artificial Intelligence, vol. 161, pp. 111996, 2025 [π Online] -
Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis
Muhammad Munsif, Altaf Hussain, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik*
Advanced Engineering Informatics, vol. 67, pp. 103462, 2025 [π Online]
2026
2025
International Conference Papers
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Medium Scale Benchmark for Cricket Excited Actions Understanding
Altaf Hussain, Noman Khan, Muhammad Munsif, Min Je Kim, Sung Wook Baik*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024 [π Full-Text]
2024
Domestic Conference Papers
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Analyzing City-Level Population Movement in China with Graph Neural Networks
Muhammad Afaq, Adnan Hussain, Hikmat Yar, Muhammad Munsif, Min Je Kim, Sung Wook Baik*
νκ΅μ°¨μΈλμ»΄ν¨ν νν νμ λν, pp. 70-71, 2025