49 citations · 166 across the 18 of their papers we have counts for
11 papers · 1 filter
A Survey on Multi-Objective Neural Architecture Search
Seyed Mahdi Shariatzadeh, Mahmood Fathy, Reza Berangi +1
Recently, the expert-crafted neural architectures is increasing overtaken by the utilization of neural architecture search (NAS) and automatic generation (and tuning) of network st…
Image/Video Deep Anomaly Detection: A Survey
Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
The considerable significance of Anomaly Detection (AD) problem has recently drawn the attention of many researchers. Consequently, the number of proposed methods in this research…
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…
Online Signature Verification using Deep Representation: A new Descriptor
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou +1
This paper presents an accurate method for verifying online signatures. The main difficulty of signature verification come from: (1) Lacking enough training samples (2) The methods…
Semantic Video Segmentation: A Review on Recent Approaches
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou +1
This paper gives an overview on semantic segmentation consists of an explanation of this field, it's status and relation with other vision fundamental tasks, different datasets and…
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…
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy +1
Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is o…
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…
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…
Real-Time Anomaly Detection and Localization in Crowded Scenes
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini +1
In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes. Each video is defined as a set of non-overlapping cubic patches, and is descr…
A Novel Approach For Finger Vein Verification Based on Self-Taught Learning
Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar +2
In this paper, we propose a method for user Finger Vein Authentication (FVA) as a biometric system. Using the discriminative features for classifying theses finger veins is one of…