49 citations · 166 across the 18 of their papers we have counts for
22 papers
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…
Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression
Pooneh Safayenikoo, Arghavan Asad, Mahmood Fathy
With technology scaling, the size of cache systems in chip-multiprocessors (CMPs) has been dramatically increased to efficiently store and manipulate a large amount of data in futu…
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…
DV-DVFS: Merging Data Variety and DVFS Technique to Manage the Energy Consumption of Big Data Processing
Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy
Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature o…
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy +1
Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster…
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…
An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors
Salman Onsori, Arghavan Asad, Kaamran Raahemifar +1
Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era causes a drastic i…
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy +1
In recent years, deep learning-based networks have achieved state-of-the-art performance in medical image segmentation. Among the existing networks, U-Net has been successfully app…
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…
An Improved Scheme for Pre-computed Patterns in Core-based SoC Architecture
Elaheh Sadredini, Reza Rahimi, Paniz Foroutan +2
By advances in technology, integrated circuits have come to include more functionality and more complexity in a single chip. Although methods of testing have improved, but the incr…
BILBO-friendly Hybrid BIST Architecture with Asymmetric Polynomial Reseeding
Elaheh Sadredini, Mohammadreza Najafi, Mahmood Fathy +1
By advances in technology, integrated circuits have come to include more functionality and more complexity in a single chip. Although methods of testing have improved, but the incr…
Test Generation and Scheduling for a Hybrid BIST Considering Test Time and Power Constraint
Elaheh Sadredini, Mohammad Hashem Haghbayan, Mahmood Fathy +1
This paper presents a novel approach for test generation and test scheduling for multi-clock domain SoCs. A concurrent hybrid BIST architecture is proposed for testing cores. Furth…
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…
An efficient parallel algorithm for computing determinant of non square matrices
Neda Abdollahi, Mohammad Jafari, Morteza Bayat +2
One of the most significant challenges in Computing Determinant of Rectangular Matrices is high time complexity of its algorithm. Among all definitions of determinant of rectangula…
IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hoseini
One important application of the Wireless Sensor Network(WSN) is target tracking, the aim of this application is converging to an event or object in an area. In this paper, we prop…
A New Approach in Packet Scheduling in the Vanet
Sayadi Mohammad Javad, Fathy Mahmood
Vehicular Ad hoc Networks (VANET) are expected to have great potential to improve both traffic safety and comfort in the future. When many vehicles want to access data through road…