Sultan Daud Khan

Orcid: 0000-0002-7406-8441

According to our database1, Sultan Daud Khan authored at least 60 papers between 2013 and 2023.

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Bibliography

2023
Weed-Crop Segmentation in Drone Images with a Novel Encoder-Decoder Framework Enhanced via Attention Modules.
Remote. Sens., December, 2023

Segmentation of farmlands in aerial images by deep learning framework with feature fusion and context aggregation modules.
Multim. Tools Appl., November, 2023

Multi-Branch Deep Learning Framework for Land Scene Classification in Satellite Imagery.
Remote. Sens., July, 2023

Multi-Scale and Context-Aware Framework for Flood Segmentation in Post-Disaster High Resolution Aerial Images.
Remote. Sens., April, 2023

Deep learning framework for congestion detection at public places via learning from synthetic data.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

A Novel Spatio-Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data.
IEEE Access, 2023

ViT based Covid-19 detection and classification from CXR images.
Proceedings of the Visualization and Data Analysis 2023, 2023

Crowd counting using deep learning based head detection.
Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022
Motion-shape-based deep learning approach for divergence behavior detection in high-density crowd.
Vis. Comput., 2022

A Novel Detection Refinement Technique for Accurate Identification of Nephrops norvegicus Burrows in Underwater Imagery.
Sensors, 2022

Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking.
IEEE Access, 2022

An Efficient Deep Learning Framework for Face Mask Detection in Complex Scenes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Brain Tumor Augmentation using the U-NET Architecture.
Proceedings of the International Conference on Frontiers of Information Technology, 2022

A Lightweight Convolution Neural Network for Automatic Disasters Recognition.
Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021
Scale and density invariant head detection deep model for crowd counting in pedestrian crowds.
Vis. Comput., 2021

Multi-feature-based crowd video modeling for visual event detection.
Multim. Syst., 2021

Deep Hybrid Network for Land Cover Semantic Segmentation in High-Spatial Resolution Satellite Images.
Inf., 2021

Correction to: A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes.
Int. J. Comput. Intell. Syst., 2021

A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes.
Int. J. Comput. Intell. Syst., 2021

Multi-Scale Person Localization With Multi-Stage Deep Sequential Framework.
Int. J. Comput. Intell. Syst., 2021

Characterization of different crowd behaviors using novel deep learning framework.
Turkish J. Electr. Eng. Comput. Sci., 2021

Attention-based LSTM Network for Action Recognition in Sports.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2021, 2021

Evaluating Deep Semi-Supervised Learning Methods for Computer Vision Applications.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2021, 2021

2020
TCM: Temporal Consistency Model for Head Detection in Complex Videos.
J. Sensors, 2020

Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network.
Comput., 2020

Robust Head Detection in Complex Videos Using Two-Stage Deep Convolution Framework.
IEEE Access, 2020

Thin-Film Tandem Organic Solar Cells With Improved Efficiency.
IEEE Access, 2020

Generative Adversarial Networks: A Short Review.
Proceedings of the Image Processing: Algorithms and Systems XVIII, 2020

Social Modeling Meets Virtual Reality: An Immersive Implication.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Crowd Congestion Detection in Videos.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2020, 2020


2019
Congestion detection in pedestrian crowds using oscillation in motion trajectories.
Eng. Appl. Artif. Intell., 2019

A survey of advances in vision-based vehicle re-identification.
Comput. Vis. Image Underst., 2019

Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble.
IEEE Access, 2019

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks.
IEEE Access, 2019

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes.
IEEE Access, 2019

Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

An Image Based Prediction Model for Sleep Stage Identification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Stacked Lstm Network for Human Activity Recognition Using Smartphone Data.
Proceedings of the 8th European Workshop on Visual Information Processing, 2019

Two Stream Model for Crowd Video Classification.
Proceedings of the 8th European Workshop on Visual Information Processing, 2019

Dimension Invariant Model for Human Head Detection.
Proceedings of the 8th European Workshop on Visual Information Processing, 2019

Person Head Detection Based Deep Model for People Counting in Sports Videos.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
CrashSafe: a formal model for proving crash-safety of Android applications.
Hum. centric Comput. Inf. Sci., 2018

Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Towards a Crowd Analytic Framework For Crowd Management in Majid-al-Haram.
CoRR, 2017

Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models.
CoRR, 2017

Extracting descriptive motion information from crowd scenes.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

A study on detecting drones using deep convolutional neural networks.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

Drone-vs-Bird detection challenge at IEEE AVSS2017.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Simulation and Evaluation of Spiral Movement of Pedestrians: Towards the Tawaf Simulator.
J. Cell. Autom., 2016

Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows.
Neurocomputing, 2016

The Effect of Multi-core Communication Architecture on System Performance.
CoRR, 2016

Texture-based feature mining for crowd density estimation: A study.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

A Computer Vision Tool Set for Innovative Elder Pedestrians Aware Crowd Management Support Systems.
Proceedings of the Artificial Intelligence for Ambient Assisted Living 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), 2016

2015
Detection of Social Groups in Pedestrian Crowds Using Computer Vision.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2014
Detecting Dominant Motion Flows and People Counting in High Density Crowds.
J. WSCG, 2014

Estimating Speeds of Pedestrians in Real-World Using Computer Vision.
Proceedings of the Cellular Automata, 2014

2013
Estimating Speeds and Directions of Pedestrians in Real-Time Videos: A solution to Road-Safety Problem.
Proceedings of the Workshop "The Challenge of Ageing Society: Technological Roles and Opportunities for Artificial Intelligence" co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

Integrated Analysis and Synthesis of Pedestrian Dynamics: First Results in a Real World Case Study.
Proceedings of the 14th Workshop "From Objects to Agents" co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013


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