55 citations · 328 across the 36 of their papers we have counts for
5 papers · 1 filter
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou +3
This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that…
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy +2
The detection of abnormal behaviours in crowded scenes has to deal with many challenges. This paper presents an efficient method for detection and localization of anomalies in vide…
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +1
Major winning Convolutional Neural Networks (CNNs), such as AlexNet, VGGNet, ResNet, GoogleNet, include tens to hundreds of millions of parameters, which impose considerable comput…
An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks
Hossein Fayyazi, Mohammad Sabokrou
One of the features of the Next Generation Wireless Networks (NGWNs) is its heterogeneous communication environment. Heterogeneous networks are ranging from wireless WAN, LAN, MAN…
Real-Time Anomalous Behavior Detection and Localization in Crowded Scenes
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini
In this paper, we propose an accurate and real-time anomaly detection and localization in crowded scenes, and two descriptors for representing anomalous behavior in video are propo…