Ghazal Alinezhad Noghre

According to our database, Ghazal Alinezhad Noghre authored at least 25 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A POV-Based Highway Vehicle Trajectory Dataset and Prediction Architecture.

Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

IEEE Trans. Intell. Transp. Syst., October, 2024

A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems.

Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi

IEEE Trans. Knowl. Data Eng., January, 2024

VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety.

Vinit Katariya, Fatema-E. Jannat, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Hamed Tabkhi

Internet Things, 2024

PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization.

Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

CoRR, 2024

PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset.

Ghazal Alinezhad Noghre, Shanle Yao, Armin Danesh Pazho, Babak Rahimi Ardabili, Vinit Katariya, Hamed Tabkhi

CoRR, 2024

An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction.

Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Evaluating the Effectiveness of Video Anomaly Detection in the Wild Online Learning and Inference for Real-world Deployment.

Shanle Yao, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer.

Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things.

Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao, Mohammadreza Baharani, Hamed Tabkhi

IEEE Internet Things J., September, 2023

Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach.

Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Gordon Hull, Shannon Reid, Hamed Tabkhi

CoRR, 2023

Integrating AI into CCTV Systems: A Comprehensive Evaluation of Smart Video Surveillance in Community Space.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

CoRR, 2023

VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications.

Vinit Katariya, Fatema-E. Jannat, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Hamed Tabkhi

CoRR, 2023

VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems.

Armin Danesh Pazho, Vinit Katariya, Ghazal Alinezhad Noghre, Hamed Tabkhi

CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance - A Case Study at a Community College.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

CoRR, 2023

Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety.

Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Sai Datta Bhaskararayuni, Arun Ravindran, Shannon Reid, Hamed Tabkhi

CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance System.

Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Privacy-preserving Real-world Video Anomaly Detection.

Ghazal Alinezhad Noghre

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

CHAD: Charlotte Anomaly Dataset.

Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Christopher Neff, Hamed Tabkhi

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Understanding the Challenges and Opportunities of Pose-based Anomaly Detection.

Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Demonstration of Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

2022

Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety.

Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Arun Ravindran, Hamed Tabkhi

CoRR, 2022

Pishgu: Universal Path Prediction Architecture through Graph Isomorphism and Attentive Convolution.

Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi

CoRR, 2022

A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems.

Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi

CoRR, 2022

ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation.

Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022