4 citations · 5 across the 3 of their papers we have counts for
5 papers
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies
Masoud Pourreza, Mohammadreza Salehi, Mohammad Sabokrou
Video anomaly detection has proved to be a challenging task owing to its unsupervised training procedure and high spatio-temporal complexity existing in real-world scenarios. In th…
G2D: Generate to Detect Anomaly
Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki +3
In this paper, we propose a novel method for irregularity detection. Previous researches solve this problem as a One-Class Classification (OCC) task where they train a reference mo…
Conditional Classification: A Solution for Computational Energy Reduction
Ali Mirzaeian, Sai Manoj, Ashkan Vakil +2
Deep convolutional neural networks have shown high efficiency in computer visions and other applications. However, with the increase in the depth of the networks, the computational…
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Mohammad Sabokrou, Masoud Pourreza, Xiaobai Li +2
This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart is highly correlated to the intense color of fa…
AVID: Adversarial Visual Irregularity Detection
Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz +4
Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With th…