Altaf Hussain
Altaf Hussain /
Ph.D. Student

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Description

Altaf Hussain received his Ph.D. degree in Software Convergence from Sejong University, Seoul, South Korea. He conducted his doctoral research at the Intelligent Media Laboratory (IM Lab), Sejong University. His research interests include computer vision, deep learning, action and activity recognition, surveillance video analysis, spatiotemporal learning, image and video analytics, and energy informatics. He is currently in the InnoCORE Postdoctoral Fellowship Track at Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.


Publications in IMLab Lab

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International Journal Papers


    2026
  1. 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 [🌐 Online]

  2. 2025
  3. 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 [🌐 Online]
  4. 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 [🌐 Online]

International Conference Papers


    2024
  1. 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 [📃 Full-Text]