Tanveer Hussain

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

• Pyramidal Attention for Saliency Detection
• Deep multi-scale pyramidal features network for supervised video summarization
• Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
• Densely deformable efficient salient object detection network
• Efficient CNN based summarization of surveillance videos for resource-constrained devices