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∙ 07/18/2023

A Survey on Multi-Objective Neural Architecture Search

Recently, the expert-crafted neural architectures is increasing overtake...

0 Seyed Mahdi Shariatzadeh, et al. ∙

∙ 01/03/2022

Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression

With technology scaling, the size of cache systems in chip-multiprocesso...

0 Pooneh Safayenikoo, et al. ∙

∙ 03/02/2021

Image/Video Deep Anomaly Detection: A Survey

The considerable significance of Anomaly Detection (AD) problem has rece...

14 Bahram Mohammadi, et al. ∙

∙ 02/07/2021

DV-DVFS: Merging Data Variety and DVFS Technique to Manage the Energy Consumption of Big Data Processing

Data variety is one of the most important features of Big Data. Data var...

0 Hossein Ahmadvand, et al. ∙

∙ 03/10/2020

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

Medical image segmentation has been very challenging due to the large va...

0 Maryam Asadi-Aghbolaghi, et al. ∙

∙ 02/12/2020

Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions

This paper presents a novel method for remote heart rate (HR) estimation...

22 Mohammad Sabokrou, et al. ∙

∙ 12/13/2019

An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors

Main memories play an important role in overall energy consumption of em...

0 Salman Onsori, et al. ∙

∙ 08/31/2019

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

In recent years, deep learning-based networks have achieved state-of-the...

54 Reza Azad, et al. ∙

∙ 06/24/2018

Online Signature Verification using Deep Representation: A new Descriptor

This paper presents an accurate method for verifying online signatures. ...

0 Mohammad Hajizadeh_Saffar, et al. ∙

∙ 06/16/2018

Semantic Video Segmentation: A Review on Recent Approaches

This paper gives an overview on semantic segmentation consists of an exp...

0 Mohammad Hajizadeh_Saffar, et al. ∙

∙ 05/24/2018

AVID: Adversarial Visual Irregularity Detection

Real-time detection of irregularities in visual data is very invaluable ...

2 Mohammad Sabokrou, et al. ∙

∙ 02/25/2018

Adversarially Learned One-Class Classifier for Novelty Detection

Novelty detection is the process of identifying the observation(s) that ...

0 Mohammad Sabokrou, et al. ∙

∙ 11/22/2017

Test Generation and Scheduling for a Hybrid BIST Considering Test Time and Power Constraint

This paper presents a novel approach for test generation and test schedu...

0 Elaheh Sadredini, et al. ∙

∙ 11/22/2017

An Improved Scheme for Pre-computed Patterns in Core-based SoC Architecture

By advances in technology, integrated circuits have come to include more...

0 Elaheh Sadredini, et al. ∙

∙ 11/22/2017

BILBO-friendly Hybrid BIST Architecture with Asymmetric Polynomial Reseeding

By advances in technology, integrated circuits have come to include more...

0 Elaheh Sadredini, et al. ∙

∙ 09/03/2016

Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes

The detection of abnormal behaviours in crowded scenes has to deal with ...

0 Mohammad Sabokrou, et al. ∙

∙ 08/21/2016

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation

This paper presents a novel method to involve both spatial and temporal ...

0 Mohsen Fayyaz, et al. ∙

∙ 05/30/2015

IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network

One important application of the Wireless Sensor Network(WSN) is target ...

0 Mohammad Sabokrou, et al. ∙

∙ 05/29/2015

Feature Representation for Online Signature Verification

Biometrics systems have been used in a wide range of applications and ha...

0 Mohsen Fayyaz, et al. ∙

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