Personal profile
Biography
Tanveer Hussain acknowledged his Ph.D. Degree in Software Convergence from SejongUniversity, Seoul, South Korea. He was working as a Postdoctoral Research Fellow at Institute forTransport Studies, University of Leeds,Leeds, UK. His major research domains are multimedia data analysis including video summarization, action and activity recognition, saliency detection, scene understanding for autonomous driving, resource-constrained programming, and fire/smokedetection and segmentation. He has filed/published several patents and articles in peer-reviewedjournals and conferences in reputed venues including CVPRW, IEEE Transactions on ImageProcessing, Transactions on Intelligent Transportation Systems, Industrial Informatics, Elsevier Pattern Recognition, Neurocomputing, PatternRecognition Letters, ACM Computing Surveys, and Springer Multimedia Tools and Applications. He is a member of IEEE, providing professional review services in various reputed journals and serving as an editorial board member ofthe Journal of Artificial Intelligence and Systems, and review editor for Frontiers in Artificial Intelligence. For furtheractivities and implementations of his research, visit:https://github.com/tanveer-hussain
Education/Academic qualification
Computer Vision and Artificial Intelligence, PhD, A Study and Development of Deep Model for Multi-view Video Summarization, Sejong University
1 Mar 2018 → 25 May 2022
Award Date: 17 Aug 2022
Computer Science, BSc, Let the Deaf Understand, Islamia College Peshawar
16 Sept 2013 → 1 Oct 2017
Award Date: 16 Sept 2017
Research Centres
- Centre for Intelligent Visual Computing Research
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Collaborations and top research areas from the last five years
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Pyramidal Attention for Saliency Detection
Hussain, T., Anwar, S., Anwar, S., Petersson, L. & Wook Baik, S., 23 Aug 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022. IEEE, p. 2877-2887 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
26 Link opens in a new tab Citations (Scopus) -
Deep multi-scale pyramidal features network for supervised video summarization
Khan, H., Hussain, T., Ullah Khan, S., Ahmad Khan, Z. & Baik, S. W., 1 Mar 2024, In: Expert Systems with Applications. 237, p. 1-14 121288.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile84 Link opens in a new tab Citations (Scopus)68 Downloads (Pure) -
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
Hussain, T., Muhammad, K., Ullah, A., Ser, J. D., Gandomi, A. H., Sajjad, M., Baik, S. W. & Albuquerque, V. H. C. D., 7 Jun 2021, In: IEEE Internet of Things Journal. 8, 12, p. 9634-9644 11 p., 9208765.Research output: Contribution to journal › Article (journal) › peer-review
40 Link opens in a new tab Citations (Scopus) -
Densely deformable efficient salient object detection network
Hussain, T., Anwar, S., Ullah, A., Muhammad, K. & Baik, S. W., 2021.Research output: Working paper › Preprint
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Efficient CNN based summarization of surveillance videos for resource-constrained devices
Muhammad, K., Hussain, T. & Baik, S. W., 29 Feb 2020, In: Pattern Recognition Letters. 130, p. 370-375 6 p.Research output: Contribution to journal › Article (journal) › peer-review
82 Link opens in a new tab Citations (Scopus)