19 citations · 38 across the 12 of their papers we have counts for
12 papers
MoFM: A Large-Scale Human Motion Foundation Model
Mohammadreza Baharani, Ghazal Alinezhad Noghre, Armin Danesh Pazho +2
Foundation Models (FM) have increasingly drawn the attention of researchers due to their scalability and generalization across diverse tasks. Inspired by the success of FMs and the…
Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi
Video Anomaly Detection (VAD) presents a significant challenge in computer vision, particularly due to the unpredictable and infrequent nature of anomalous events, coupled with the…
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
Christopher Neff, Armin Danesh Pazho, Hamed Tabkhi
Following the popularity of Unsupervised Domain Adaptation (UDA) in person re-identification, the recently proposed setting of Online Unsupervised Domain Adaptation (OUDA) attempts…
Real-World Community-in-the-Loop Smart Video Surveillance -- A Case Study at a Community College
Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho +3
Smart Video surveillance systems have become important recently for ensuring public safety and security, especially in smart cities. However, applying real-time artificial intellig…
A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture
Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho +1
Vehicle Trajectory datasets that provide multiple point-of-views (POVs) can be valuable for various traffic safety and management applications. Despite the abundance of trajectory…
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya +1
Pose-based anomaly detection is a video-analysis technique for detecting anomalous events or behaviors by examining human pose extracted from the video frames. Utilizing pose data…
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre +5
Recent advancements in artificial intelligence (AI) have seen the emergence of smart video surveillance (SVS) in many practical applications, particularly for building safer and mo…
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre +4
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitabl…
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre +3
Recently, Smart Video Surveillance (SVS) systems have been receiving more attention among scholars and developers as a substitute for the current passive surveillance systems. Thes…
CHAD: Charlotte Anomaly Dataset
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili +2
In recent years, we have seen a significant interest in data-driven deep learning approaches for video anomaly detection, where an algorithm must determine if specific frames of a…
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha +3
Anomaly detection is a crucial task in complex distributed systems. A thorough understanding of the requirements and challenges of anomaly detection is pivotal to the security of s…
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez +3
Recent advancements in computer vision have seen a rise in the prominence of applications using neural networks to understand human poses. However, while accuracy has been steadily…