Mohammad Sabokrou

Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging

Sep 23, 2020
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze

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Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks

Jul 12, 2020
Ali Mirzaeian, Mohammad Sabokrou, Mohammad Khalooei, Jana Kosecka, Houman Homayoun, Tinoosh Mohsening, Avesta Sasan

* paper need to be majorly revised

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Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction

Jul 12, 2020
Ali Mirzaeian, Masoud Pourreza, Mohammad Sabokrou, Ashkan Vakil$, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan

* paper need to be majorly revised

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G2D: Generate to Detect Anomaly

Jun 27, 2020
Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou

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G2D: Generate to Detect Anomalies

Jun 20, 2020
Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou

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

Feb 12, 2020
Mohammad Sabokrou, Masoud Pourreza, Xiaobai Li, Mahmood Fathy, Guoying Zhao

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Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks

Jan 16, 2020
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan

* 6 pages, Accepted and to appear in ISQED 2020

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AutoIDS: Auto-encoder Based Method for Intrusion Detection System

Nov 08, 2019
Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou

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Self-Supervised Representation Learning via Neighborhood-Relational Encoding

Aug 27, 2019
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli

* Accepted in International Conference on Computer Vision (ICCV) 2019

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AVD: Adversarial Video Distillation

Jul 12, 2019
Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid

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End-to-End Adversarial Learning for Intrusion Detection in Computer Networks

Apr 25, 2019
Bahram Mohammadi, Mohammad Sabokrou

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AVID: Adversarial Visual Irregularity Detection

Jul 17, 2018
Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli

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Online Signature Verification using Deep Representation: A new Descriptor

Jun 24, 2018
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy

* arXiv admin note: substantial text overlap with arXiv:1505.08153

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Semantic Video Segmentation: A Review on Recent Approaches

Jun 16, 2018
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy

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Adversarially Learned One-Class Classifier for Novelty Detection

May 24, 2018
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli

* CVPR 2018 Paper

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Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

Feb 17, 2018
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli

* The Submitted version to the IEEE TIP on December 2017, replaced high resolution images with low-res counterparts due to arXiv size limitation, 19 pages

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Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Feb 14, 2018
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou

* replaced low-res images with high-res versions, minor corrections in the appendix, switched to LaTex

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

Apr 30, 2017
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Zahra Moayedd, Reinhard klette

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

Feb 15, 2017
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hoseini

* We have found several mistake in this our paper. (1) The English writing of paper must improved (2) the experimental results especially Figure 9, 10 and 12 are wrong (3) Some references must revised. We are providing new version of paper. We are concern about, this version make confusion for readers

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Mohammad Sabokrou

Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging

Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks

Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction

G2D: Generate to Detect Anomaly

G2D: Generate to Detect Anomalies

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

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks

AutoIDS: Auto-encoder Based Method for Intrusion Detection System

Self-Supervised Representation Learning via Neighborhood-Relational Encoding

AVD: Adversarial Video Distillation

End-to-End Adversarial Learning for Intrusion Detection in Computer Networks

AVID: Adversarial Visual Irregularity Detection

Online Signature Verification using Deep Representation: A new Descriptor

Semantic Video Segmentation: A Review on Recent Approaches

Adversarially Learned One-Class Classifier for Novelty Detection

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

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

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

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation

Real-Time Anomalous Behavior Detection and Localization in Crowded Scenes

Real-Time Anomaly Detection and Localization in Crowded Scenes

A Novel Approach For Finger Vein Verification Based on Self-Taught Learning

Feature Representation for Online Signature Verification