Sultan Daud Khan
Sultan Daud Khan
Associate Professor, National University of Technology
Verified email at
Cited by
Cited by
A study on detecting drones using deep convolutional neural networks
M Saqib, SD Khan, N Sharma, M Blumenstein
2017 14th IEEE international conference on advanced video and signal based …, 2017
A survey of advances in vision-based vehicle re-identification
SD Khan, H Ullah
Computer Vision and Image Understanding, 2019
Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble
H Ullah, M Uzair, A Mahmood, M Ullah, SD Khan, FA Cheikh
IEEE Access, 2019
Stacked lstm network for human activity recognition using smartphone data
M Ullah, H Ullah, SD Khan, FA Cheikh
2019 8th European workshop on visual information processing (EUVIP), 175-180, 2019
Scale Driven Convolutional Neural Network Model For People Counting and Localization in Crowd Scenes
S Basalamah, SD Khan, H Ullah
IEEE Access, 2019
Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows
SD Khan, S Bandini, S Basalamah, G Vizzari
Neurocomputing 177, 543-563, 2016
Toward smart lockdown: a novel approach for COVID-19 hotspots prediction using a deep hybrid neural network
SD Khan, L Alarabi, S Basalamah
Computers 9 (4), 99, 2020
Scale and density invariant head detection deep model for crowd counting in pedestrian crowds
SD Khan, S Basalamah
The Visual Computer 37 (8), 2127-2137, 2021
Light absorption enhancement in tri-layered composite metasurface absorber for solar cell applications
AD Khan, AD Khan, SD Khan, M Noman
Optical Materials 84, 195-198, 2018
Disam: Density independent and scale aware model for crowd counting and localization
SD Khan, H Ullah, M Uzair, M Ullah, R Ullah, FA Cheikh
2019 IEEE International Conference on Image Processing (ICIP), 4474-4478, 2019
Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks
M Saqib, SD Khan, N Sharma, M Blumenstein
IEEE Access 7, 35317-35329, 2019
Attention-based LSTM network for action recognition in sports
M Ullah, M Mudassar Yamin, A Mohammed, S Daud Khan, H Ullah, ...
Electronic Imaging 2021 (6), 302-1-302-6, 2021
Texture-based feature mining for crowd density estimation: A study
M Saqib, SD Khan, M Blumenstein
2016 International Conference on Image and Vision Computing New Zealand …, 2016
Counting of people in the extremely dense crowd using genetic algorithm and blobs counting
M Arif, S Daud, S Basalamah
IAES International Journal of Artificial Intelligence 2 (2), 51, 2013
Multi-feature-based crowd video modeling for visual event detection
H Ullah, IU Islam, M Ullah, M Afaq, SD Khan, J Iqbal
Multimedia Systems 27, 589-597, 2021
Generation of multiple Fano resonances in plasmonic split nanoring dimer
AD Khan, SD Khan, RU Khan, N Ahmad, A Ali, A Khalil, FA Khan
Plasmonics 9, 1091-1102, 2014
Congestion detection in pedestrian crowds using oscillation in motion trajectories
SD Khan
Engineering Applications of Artificial Intelligence 85, 429-443, 2019
Towards a crowd analytic framework for crowd management in Majid-al-Haram
SD Khan, M Tayyab, MK Amin, A Nour, A Basalamah, S Basalamah, ...
arXiv preprint arXiv:1709.05952, 2017
Detection of social groups in pedestrian crowds using computer vision
SD Khan, G Vizzari, S Bandini, S Basalamah
Advanced Concepts for Intelligent Vision Systems: 16th International …, 2015
Detecting dominant motion flows and people counting in high density crowds
SD Khan, G Vizzari, S Bandini, S Basalamah
Václav Skala-UNION Agency, 2014
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