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
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
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
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
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
Excitation of multiple Fano-like resonances induced by higher order plasmon modes in three-layered bimetallic nanoshell dimer
AD Khan, SD Khan, RU Khan, N Ahmad
Plasmonics 9, 461-475, 2014
The system can't perform the operation now. Try again later.
Articles 1–20