Mohamad Alansari
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View article: Visual tracking by matching points using diffusion model
Visual tracking by matching points using diffusion model Open
View article: CLDTracker: A Comprehensive Language Description for visual Tracking
CLDTracker: A Comprehensive Language Description for visual Tracking Open
View article: CLDTracker: A Comprehensive Language Description for Visual Tracking
CLDTracker: A Comprehensive Language Description for Visual Tracking Open
VOT remains a fundamental yet challenging task in computer vision due to dynamic appearance changes, occlusions, and background clutter. Traditional trackers, relying primarily on visual cues, often struggle in such complex scenarios. Rece…
View article: STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection Open
Advancements in Computer-Aided Screening (CAS) systems are essential for improving the detection of security threats in X-ray baggage scans. However, current datasets are limited in representing real-world, sophisticated threats and concea…
View article: Author Correction: Drone-Person Tracking in Uniform Appearance Crowd: A New Dataset
Author Correction: Drone-Person Tracking in Uniform Appearance Crowd: A New Dataset Open
View article: EfficientFaceV2S: A lightweight model and a benchmarking approach for drone-captured face recognition
EfficientFaceV2S: A lightweight model and a benchmarking approach for drone-captured face recognition Open
View article: Multi-Modal Understanding of FOMC Press Conferences for Question Generation via Visual and Textual Cues
Multi-Modal Understanding of FOMC Press Conferences for Question Generation via Visual and Textual Cues Open
Federal Open Market Committee (FOMC) press conferences represent critical information channels through which monetary policy decisions impact financial markets. In the FOMC context, Question Generation (QG) plays an important role in probi…
View article: ELTrack: Events-Language Description for Visual Object Tracking
ELTrack: Events-Language Description for Visual Object Tracking Open
The integration of Natural Language (NL) descriptions into Visual Object Tracking (VOT) has shown promise in enhancing the performance of RGB-based tracking by providing richer, contextually aware information that helps to address issues l…
View article: Optimal placement of electric vehicle charging infrastructures utilizing deep learning
Optimal placement of electric vehicle charging infrastructures utilizing deep learning Open
The increasing level of air pollution caused by the transport sector necessitates countries to adopt Electric Vehicles (EVs). To espouse EVs, the charging infrastructures' location should be optimal to fulfill the mass‐market consumer need…
View article: Drone-Person Tracking in Uniform Appearance Crowd: A New Dataset
Drone-Person Tracking in Uniform Appearance Crowd: A New Dataset Open
View article: Efficientfacev2s: A Lightweight Model and a Benchmarking Approach for Drone-Captured Face Recognition
Efficientfacev2s: A Lightweight Model and a Benchmarking Approach for Drone-Captured Face Recognition Open
View article: Defending the Water-Energy Nexus: Strategies for Cyber-Attack Detection and Mitigation
Defending the Water-Energy Nexus: Strategies for Cyber-Attack Detection and Mitigation Open
View article: Eltrack: Events-Language Description for Visual Object Tracking
Eltrack: Events-Language Description for Visual Object Tracking Open
View article: Deep Learning Strategies for Detecting and Mitigating Cyber-Attacks Targeting Water-Energy Nexus
Deep Learning Strategies for Detecting and Mitigating Cyber-Attacks Targeting Water-Energy Nexus Open
Due to the substantial interdependencies between water and energy infrastructures, the water-energy nexus (WEN) is regarded as an appealing focal point for potential malicious intruders, particularly in the context of smart cities. Driven …
View article: Eltrack: Correlating Events and Language for Visual Tracking
Eltrack: Correlating Events and Language for Visual Tracking Open
View article: Multi-Scale Hierarchical Contour Framework for Detecting Cluttered Threats in Baggage Security
Multi-Scale Hierarchical Contour Framework for Detecting Cluttered Threats in Baggage Security Open
Ensuring the security and safety of passengers and cargo through effective baggage screening presents a critical challenge in high-traffic environments like airports, where traditional manual processes are affected by high error rates, fat…
View article: EFaR 2023: Efficient Face Recognition Competition
EFaR 2023: Efficient Face Recognition Competition Open
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive furthe…
View article: EFaR 2023: Efficient Face Recognition Competition
EFaR 2023: Efficient Face Recognition Competition Open
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive furthe…
View article: Drone-Person Tracking in Uniform Appearance Crowd (D-PTUAC)
Drone-Person Tracking in Uniform Appearance Crowd (D-PTUAC) Open
Drone-person tracking in uniform appearance crowds poses unique challenges due to the difficulty in distinguishing individuals with similar attire and multi-scale variations. To address this issue and facilitate the development of effectiv…
View article: Drone-Person Tracking in Uniform Appearance Crowd (D-PTUAC)
Drone-Person Tracking in Uniform Appearance Crowd (D-PTUAC) Open
Drone-person tracking in uniform appearance crowds poses unique challenges due to the difficulty in distinguishing individuals with similar attire and multi-scale variations. To address this issue and facilitate the development of effectiv…
View article: GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations Open
The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to be a significant challenge. Previous approaches to this problem have not prioritized …
View article: D-PTUAC.zip
D-PTUAC.zip Open
Computer Science
View article: Technical Program
Technical Program Open
Ventilator has become an intensively important part of medical healthcare, especially in this widespread pandemic of COVID-19.The most popular one is an Ambu Bag with a bag valve mask (BVM).This ventilator, however, requires a manual resus…