Integrated Analysis and Synthesis of Pedestrian Dynamics: First Results in a Real World Case Study. - Luca Crociani; Sultan Daud Khan; Giuseppe Vizzari (WOA@AI*IA, 2013)

Estimating Speeds and Directions of Pedestrians in Real-Time Videos: A solution to Road-Safety Problem. - Sultan Daud Khan (AgeingAI@AI*IA, 2013)

Estimating Speeds of Pedestrians in Real-World Using Computer Vision. - Sultan Daud Khan; Fabio Porta; Giuseppe Vizzari; Stefania Bandini (ACRI, 2014)

Detecting Dominant Motion Flows and People Counting in High Density Crowds. - Sultan Daud Khan; Giuseppe Vizzari; Stefania Bandini; Saleh M. Basalamah (J. WSCG, 2014)

Detection of Social Groups in Pedestrian Crowds Using Computer Vision. - Sultan Daud Khan; Giuseppe Vizzari; Stefania Bandini; Saleh M. Basalamah (ACIVS, 2015)

A Computer Vision Tool Set for Innovative Elder Pedestrians Aware Crowd Management Support Systems. - Sultan Daud Khan; Giuseppe Vizzari; Stefania Bandini (AI*AAL@AI*IA, 2016)

Texture-based feature mining for crowd density estimation: A study. - Muhammad Saqib; Sultan Daud Khan; Michael Blumenstein (IVCNZ, 2016)

The Effect of Multi-core Communication Architecture on System Performance. - Bilal Habib; Ahmed Anber; Sultan Daud Khan (CoRR, 2016)

Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows. - Sultan Daud Khan; Stefania Bandini; Saleh M. Basalamah; Giuseppe Vizzari (Neurocomputing, 2016)

Simulation and Evaluation of Spiral Movement of Pedestrians: Towards the Tawaf Simulator. - Kenichiro Shimura; Sultan Daud Khan; Stefania Bandini; Katsuhiro Nishinari (J. Cell. Autom., 2016)

Drone-vs-Bird detection challenge at IEEE AVSS2017. - Angelo Coluccia; Marian Ghenescu; Tomas Piatrik; Geert De Cubber; Arne Schumann; Lars Wilko Sommer; Johannes Klatte; Tobias Schuchert; Jürgen Beyerer; Mohammad Farhadi; Ruhallah Amandi; Cemal Aker; et al. (AVSS, 2017)

A study on detecting drones using deep convolutional neural networks. - Muhammad Saqib; Sultan Daud Khan; Nabin Sharma; Michael Blumenstein (AVSS, 2017)

Extracting descriptive motion information from crowd scenes. - Muhammad Saqib; Sultan Daud Khan; Nabin Sharma; Michael Blumenstein (IVCNZ, 2017)

Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models. - Sultan Daud Khan; Muhammad Saqib; Michael Blumenstein (CoRR, 2017)

Towards a Crowd Analytic Framework For Crowd Management in Majid-al-Haram. - Sultan Daud Khan; Muhammad Tayyab; Muhammad Khurram Amin; Akram Nour; Anas Basalamah; Saleh M. Basalamah; Sohaib Khan (CoRR, 2017)

Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks. - Muhammad Saqib; Sultan Daud Khan; Nabin Sharma; Michael Blumenstein (IJCNN, 2018)

Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery. - Muhammad Saqib; Sultan Daud Khan; Nabin Sharma; Paul Scully-Power; Paul A. Butcher; Andrew P. Colefax; Michael Blumenstein (IVCNZ, 2018)

CrashSafe: a formal model for proving crash-safety of Android applications. - Wilayat Khan; Habib Ullah; Aakash Ahmad; Khalid Sultan; Abdullah J. Alzahrani; Sultan Daud Khan; Mohammad Alhumaid; Sultan Abdulaziz (Hum. centric Comput. Inf. Sci., 2018)

Person Head Detection Based Deep Model for People Counting in Sports Videos. - Sultan Daud Khan; Habib Ullah; Mohib Ullah; Nicola Conci; Faouzi Alaya Cheikh; Azeddine Beghdadi (AVSS, 2019)

Dimension Invariant Model for Human Head Detection. - Sultan Daud Khan; Habib Ullah; Mohib Ullah; Faouzi Alaya Cheikh; Azeddine Beghdadi (EUVIP, 2019)

Two Stream Model for Crowd Video Classification. - Habib Ullah; Sultan Daud Khan; Mohib Ullah; Faouzi Alaya Cheikh; Muhammad Uzair (EUVIP, 2019)

Stacked Lstm Network for Human Activity Recognition Using Smartphone Data. - Mohib Ullah; Habib Ullah; Sultan Daud Khan; Faouzi Alaya Cheikh (EUVIP, 2019)

An Image Based Prediction Model for Sleep Stage Identification. - Saira Kanwal; Muhammad Uzair; Habib Ullah; Sultan Daud Khan; Mohib Ullah; Faouzi Alaya Cheikh (ICIP, 2019)

Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization. - Sultan Daud Khan; Habib Ullah; Mohammad Uzair; Mohib Ullah; Rehan Ullah Khan; Faouzi Alaya Cheikh (ICIP, 2019)

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes. - Saleh M. Basalamah; Sultan Daud Khan; Habib Ullah (IEEE Access, 2019)

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks. - Muhammad Saqib; Sultan Daud Khan; Nabin Sharma; Michael Blumenstein (IEEE Access, 2019)

Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble. - Habib Ullah; Muhammad Uzair; Arif Mahmood; Mohib Ullah; Sultan Daud Khan; Faouzi Alaya Cheikh (IEEE Access, 2019)

A survey of advances in vision-based vehicle re-identification. - Sultan Daud Khan; Habib Ullah (Comput. Vis. Image Underst., 2019)

Congestion detection in pedestrian crowds using oscillation in motion trajectories. - Sultan Daud Khan (Eng. Appl. Artif. Intell., 2019)

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Ali Al-Ali; Amr Mohamed 001; Bakour Imene; Bin Dong 006; et al. (ECCV Workshops (4), 2020)

Crowd Congestion Detection in Videos. - Sultan Daud Khan; Maqsood Mahmud; Habib Ullah; Mohib Ullah; Faouzi Alaya Cheikh (IRIACV, 2020)

Social Modeling Meets Virtual Reality: An Immersive Implication. - Habib Ullah; Sultan Daud Khan; Mohib Ullah; Faouzi Alaya Cheikh (ICPR Workshops (4), 2020)

Generative Adversarial Networks: A Short Review. - Habib Ullah; Sultan Daud Khan; Mohib Ullah; Maqsood Mahmud; Faouzi Alaya Cheikh (Image Processing: Algorithms and Systems, 2020)

Thin-Film Tandem Organic Solar Cells With Improved Efficiency. - Waqas Farooq; Aimal Daud Khan; Adnan Daud Khan; Abdul Rauf; Sultan Daud Khan; Haider Ali 006; Javed Iqbal 002; Rehan Ullah Khan; Muhammad Noman (IEEE Access, 2020)

Robust Head Detection in Complex Videos Using Two-Stage Deep Convolution Framework. - Sultan Daud Khan; Yasir Ali; Basim Zafar; Abdulfattah Noorwali (IEEE Access, 2020)

Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network. - Sultan Daud Khan; Louai Alarabi; Saleh M. Basalamah (Comput., 2020)

TCM: Temporal Consistency Model for Head Detection in Complex Videos. - Sultan Daud Khan; Ahmed B. Altamimi; Mohib Ullah; Habib Ullah; Faouzi Alaya Cheikh (J. Sensors, 2020)

Evaluating Deep Semi-Supervised Learning Methods for Computer Vision Applications. - Habib Ullah; Mohib Ullah; Sultan Daud Khan; Faouzi Alaya Cheikh (IRIACV, 2021)

Attention-based LSTM Network for Action Recognition in Sports. - Mohib Ullah; Muhammad Mudassar Yamin; Ahmed Kedir Mohammed; Sultan Daud Khan; Habib Ullah; Faouzi Alaya Cheikh (IRIACV, 2021)

Characterization of different crowd behaviors using novel deep learning framework. - Abdullah J. Alzahrani; Sultan Daud Khan (Turkish J. Electr. Eng. Comput. Sci., 2021)

Multi-Scale Person Localization With Multi-Stage Deep Sequential Framework. - Sultan Daud Khan; Saleh M. Basalamah (Int. J. Comput. Intell. Syst., 2021)

A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes. - Sultan Daud Khan; Yasir Saleh; Basim Zafar; Abdulfattah Noorwali (Int. J. Comput. Intell. Syst., 2021)

Correction to: A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes. - Sultan Daud Khan; Yasir Salih; Basim Zafar; Abdulfattah Noorwali (Int. J. Comput. Intell. Syst., 2021)

Deep Hybrid Network for Land Cover Semantic Segmentation in High-Spatial Resolution Satellite Images. - Sultan Daud Khan; Louai Alarabi; Saleh M. Basalamah (Inf., 2021)

Multi-feature-based crowd video modeling for visual event detection. - Habib Ullah; Ihtesham Ul Islam; Mohib Ullah; Muhammad Afaq; Sultan Daud Khan; Javed Iqbal 002 (Multim. Syst., 2021)

Scale and density invariant head detection deep model for crowd counting in pedestrian crowds. - Sultan Daud Khan; Saleh M. Basalamah (Vis. Comput., 2021)

A Lightweight Convolution Neural Network for Automatic Disasters Recognition. - Muhammad Munsif; Hina Afridi; Mohib Ullah; Sultan Daud Khan; Faouzi Alaya Cheikh; Muhammad Sajjad (EUVIP, 2022)

Brain Tumor Augmentation using the U-NET Architecture. - Mohsin Jabbar; Maria Siddiqui; Farhan Hussain; Sultan Daud Khan (FIT, 2022)

An Efficient Deep Learning Framework for Face Mask Detection in Complex Scenes. - Sultan Daud Khan; Rafi Ullah; Mussadiq Abdul Rahim; Muhammad Rashid 003; Zulfiqar Ali 002; Mohib Ullah; Habib Ullah (AIAI (1), 2022)

Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking. - Rafi Ullah; Sultan Daud Khan; Mohib Ullah; Fadi Al Machot; Habib Ullah (IEEE Access, 2022)

A Novel Detection Refinement Technique for Accurate Identification of Nephrops norvegicus Burrows in Underwater Imagery. - Atif Naseer; Enrique Nava Baro; Sultan Daud Khan; Yolanda Vila (Sensors, 2022)

Motion-shape-based deep learning approach for divergence behavior detection in high-density crowd. - Muhammad Umer Farooq; Mohamad Naufal M. Saad; Sultan Daud Khan (Vis. Comput., 2022)

Crowd counting using deep learning based head detection. - Maryam Hassan; Farhan Hussain; Sultan Daud Khan; Mohib Ullah; Muhammad Mudassar Yamin; Habib Ullah (Image Processing: Algorithms and Systems, 2023)

ViT based Covid-19 detection and classification from CXR images. - Muhammad Saeed; Mohib Ullah; Sultan Daud Khan; Faouzi Alaya Cheikh; Muhammad Sajjad (Visualization and Data Analysis, 2023)

A Novel Spatio-Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data. - Mussadiq Abdul Rahim; Sultan Daud Khan; Salabat Khan; Muhammad Rashid 003; Rafi Ullah; Hanan Tariq; Stanislaw Czapp (IEEE Access, 2023)

Deep learning framework for congestion detection at public places via learning from synthetic data. - Saleh M. Basalamah; Sultan Daud Khan; Emad A. Felemban; Atif Naseer; Faizan Ur Rehman (J. King Saud Univ. Comput. Inf. Sci., 2023)

Multi-Scale and Context-Aware Framework for Flood Segmentation in Post-Disaster High Resolution Aerial Images. - Sultan Daud Khan; Saleh M. Basalamah (Remote. Sens., 2023)

Multi-Branch Deep Learning Framework for Land Scene Classification in Satellite Imagery. - Sultan Daud Khan; Saleh M. Basalamah (Remote. Sens., 2023)

Segmentation of farmlands in aerial images by deep learning framework with feature fusion and context aggregation modules. - Sultan Daud Khan; Louai Alarabi; Saleh M. Basalamah (Multim. Tools Appl., 2023)

Weed-Crop Segmentation in Drone Images with a Novel Encoder-Decoder Framework Enhanced via Attention Modules. - Sultan Daud Khan; Saleh M. Basalamah; Ahmed Lbath (Remote. Sens., 2023)

Multi-module attention-guided deep learning framework for precise gastrointestinal disease identification in endoscopic imagery. - Sultan Daud Khan; Saleh M. Basalamah; Ahmed Lbath (Biomed. Signal Process. Control., 2024)

Enhanced YOLOv8-Based Model with Context Enrichment Module for Crowd Counting in Complex Drone Imagery. - Abdullah N. Al-Hawsawi; Sultan Daud Khan; Faizan Ur Rehman (Remote. Sens., 2024)

Indoor Scene Classification through Dual-Stream Deep Learning: A Framework for Improved Scene Understanding in Robotics. - Sultan Daud Khan; Kamal M. Othman (Comput., 2024)

Crowd Counting in Diverse Environments Using a Deep Routing Mechanism Informed by Crowd Density Levels. - Abdullah N. Al-Hawsawi; Sultan Daud Khan; Faizan Ur Rehman (Inf., 2024)

Technical analysis-based unsupervised intraday trading djia index stocks: is it profitable in long term? - Mussadiq Abdul Rahim; Muhammad Mushafiq; Sultan Daud Khan; Rafi Ullah; Salabat Khan; Muhammad Ishaque (Appl. Intell., 2025)

Classification of plant diseases in images using dense-inception architecture with attention modules. - Sultan Daud Khan; Saleh M. Basalamah; Atif Naseer (Multim. Tools Appl., 2025)

A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images. - Sultan Daud Khan; Saleh M. Basalamah; Ahmed Lbath (Medical Biol. Eng. Comput., 2025)