Mohammad Sabokrou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Biomedical Imaging

Top Venues

Expert Syst. Appl.

Publications

Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban
Killing It With Zero-Shot: Adversarially Robust Novelty Detection. ICASSP (2024)
Zahra Mohammadi, Alireza Akhavanpour, Razieh Rastgoo, Mohammad Sabokrou
Diverse hand gesture recognition dataset. Multim. Tools Appl. 83 (17) (2024)
Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani
STARNet: spatio-temporal aware recurrent network for efficient video object detection on embedded devices. Mach. Vis. Appl. 35 (2) (2024)
Mohammad Akhavan Anvari, Rojina Kashefi, Vahid Reza Khazaie, Mohammad Khalooei, Mohammad Sabokrou
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation. CoRR (2024)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou
A survey on recent advances in Sign Language Production. Expert Syst. Appl. 243 (2024)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Multi-modal zero-shot dynamic hand gesture recognition. Expert Syst. Appl. 247 (2024)
Hossein Rezaei, Mohammad Sabokrou
Class-Adaptive Sampling Policy for Efficient Continual Learning. CoRR (2023)
Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. CoRR (2023)
Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
Confidence-driven Sampling for Backdoor Attacks. CoRR (2023)
Zahra Rezvani, Soroor Shekarizeh, Mohammad Sabokrou
Global-Local Processing in Convolutional Neural Networks. CoRR (2023)
Mohammad Mahdi Mehmanchi, Mahbod Nouri, Mohammad Sabokrou
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis. CoRR (2023)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR (2023)
Marzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou
Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. IEEE Access 11 (2023)
Mozhgan PourKeshavarz, Mohammad Sabokrou, Amir Rasouli
IMPOSITION: Implicit Backdoor Attack through Scenario Injection. CoRR (2023)
Hossein Rezaei, Mohammad Sabokrou
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space. CoRR (2023)
Fatemeh Aghaeipoor, Mohammad Sabokrou, Alberto Fernández
Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Trans. Fuzzy Syst. 31 (9) (2023)
Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani
MobileDenseNet: A new approach to object detection on mobile devices. Expert Syst. Appl. 215 (2023)
Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou, Fatemeh Aghaeipoor
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives. CoRR (2023)
Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou
Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations. CoRR (2023)
Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. ACML (2023)
Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Adel Rahmani
MobileDenseNet: A new approach to object detection on mobile devices. CoRR (2022)
Mozhgan PourKeshavarz, Guoying Zhao, Mohammad Sabokrou
Looking Back on Learned Experiences For Class/task Incremental Learning. ICLR (2022)
Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. ICPR (2022)
Amin Najafgholizadeh, Arman Nasirkhani, Hamid Reza Mazandarani, Hamid Reza Soltanalizadeh, Mohammad Sabokrou
Imaging Time Series for Deep Embedded Clustering: a Cryptocurrency Regime Detection Use Case. CSICC (2022)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR (2022)
Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. CoRR (2022)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou
All You Need In Sign Language Production. CoRR (2022)
Vahid Reza Khazaie, Anthony Wong, Mohammad Sabokrou
Are Out-of-Distribution Detection Methods Reliable? CoRR (2022)
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Trans. Mach. Learn. Res. 2022 (2022)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Sign Language Production: A Review. CVPR Workshops (2021)
Nayereh Zaghari, Mahmood Fathy, Seyed Mahdi Jameii, Mohammad Sabokrou, Mohammad Shahverdy
Improving the learning of self-driving vehicles based on real driving behavior using deep neural network techniques. J. Supercomput. 77 (4) (2021)
Masoud PourReza, Mohammadreza Salehi, Mohammad Sabokrou
Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies. CoRR (2021)
Mohammad Sabokrou, Mahmood Fathy, Guoying Zhao, Ehsan Adeli
Deep End-to-End One-Class Classifier. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
Image/Video Deep Anomaly Detection: A Survey. CoRR (2021)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Sign Language Production: A Review. CoRR (2021)
Bahram Mohammadi, Mohammad Sabokrou
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations. CoRR (2021)
Mehdi Safarpour, Tommy Z. Deng, John Massingham, Lei Xun, Mohammad Sabokrou, Olli Silvén
Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques. NorCAS (2021)
Mozhgan PourKeshavarz, Mohammad Sabokrou
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning. CoRR (2021)
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR (2021)
Mohammad Sabokrou, Masoud PourReza, Xiaobai Li, Mahmood Fathy, Guoying Zhao
Deep-HR: Fast heart rate estimation from face video under realistic conditions. Expert Syst. Appl. 186 (2021)
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Multi-Modal Zero-Shot Sign Language Recognition. CoRR (2021)
Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou
G2D: Generate to Detect Anomaly. WACV (2021)
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. CoRR (2020)
Ali Mirzaeian, Mohammad Sabokrou, Mohammad Khalooei, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan
Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks. CoRR (2020)
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. PRIME@MICCAI (2020)
Mohammad Shahverdy, Mahmood Fathy, Reza Berangi, Mohammad Sabokrou
Driver behavior detection and classification using deep convolutional neural networks. Expert Syst. Appl. 149 (2020)
Ali Mirzaeian, Masoud PourReza, Mohammad Sabokrou, Ashkan Vakil, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan
Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction. CoRR (2020)
Mohammad Sabokrou, Masoud PourReza, Xiaobai Li, Mahmood Fathy, Guoying Zhao
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions. CoRR (2020)
Djamila Romaissa Beddiar, Brahim Nini, Mohammad Sabokrou, Abdenour Hadid
Vision-based human activity recognition: a survey. Multim. Tools Appl. 79 (41-42) (2020)
Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou
G2D: Generate to Detect Anomaly. CoRR (2020)
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. ISQED (2020)
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging. CoRR (2020)
Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli
Generative Adversarial Irregularity Detection in Mammography Images. PRIME@MICCAI (2019)
Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid
AVD: Adversarial Video Distillation. CoRR (2019)
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. CoRR (2019)
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. ICCV (2019)
Bahram Mohammadi, Mohammad Sabokrou
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. CoRR (2019)
Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou
AutoIDS: Auto-encoder Based Method for Intrusion Detection System. CoRR (2019)
Bahram Mohammadi, Mohammad Sabokrou
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. LCN (2019)
Sasan Sharifipour, Hossein Fayyazi, Mohammad Sabokrou, Ehsan Adeli
Unsupervised Feature Ranking and Selection Based on Autoencoders. ICASSP (2019)
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Zahra Moayed, Reinhard Klette
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes. Comput. Vis. Image Underst. 172 (2018)
Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
AVID: Adversarial Visual Irregularity Detection. CoRR (2018)
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy
Semantic Video Segmentation: A Review on Recent Approaches. CoRR (2018)
Masoud PourReza, Reza Derakhshan, Hossein Fayyazi, Mohammad Sabokrou
Sub-word based Persian OCR Using Auto-Encoder Features and Cascade Classifier. IST (2018)
Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy
Online Signature Verification using Deep Representation: A new Descriptor. CoRR (2018)
Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. CoRR (2018)
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli
Adversarially Learned One-Class Classifier for Novelty Detection. CVPR (2018)
Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
AVID: Adversarial Visual Irregularity Detection. ACCV (6) (2018)
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli
Adversarially Learned One-Class Classifier for Novelty Detection. CoRR (2018)
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes. IEEE Trans. Image Process. 26 (4) (2017)
Mohammad Sabokrou, Mahmood Fathy, Zahra Moayed, Reinhard Klette
Fast and accurate detection and localization of abnormal behavior in crowded scenes. Mach. Vis. Appl. 28 (8) (2017)
Hossein Fayyazi, Mohammad Sabokrou
An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks. CoRR (2016)
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Fay Huang, Reinhard Klette
STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes. ACCV Workshops (1) (2016)
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette
Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes. CoRR (2016)
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Reinhard Klette
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation. CoRR (2016)
Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures. CoRR (2016)
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy
Feature Representation for Online Signature Verification. CoRR (2015)
Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy
A Novel Approach For Finger Vein Verification Based on Self-Taught Learning. CoRR (2015)
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard Klette
Real-Time Anomaly Detection and Localization in Crowded Scenes. CoRR (2015)
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard Klette
Real-time anomaly detection and localization in crowded scenes. CVPR Workshops (2015)