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ORCIDMohammad Sabokrou
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2020 – today
- 2024
[j17]Razieh Rastgoo
, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou:
A survey on recent advances in Sign Language Production. Expert Syst. Appl. 243: 122846 (2024)- [j16]Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Multi-modal zero-shot dynamic hand gesture recognition. Expert Syst. Appl. 247: 123349 (2024) - [j15]Mehrin Saremi, Mohammad Khalooei, Razieh Rastgoo, Mohammad Sabokrou:
Projan: A probabilistic trojan attack on deep neural networks. Knowl. Based Syst. 304: 112565 (2024) - [j14]Zahra Mohammadi, Alireza Akhavanpour, Razieh Rastgoo, Mohammad Sabokrou:
Diverse hand gesture recognition dataset. Multim. Tools Appl. 83(17): 50245-50267 (2024) - [j13]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): 23 (2024) - [c22]Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli:
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. CVPR 2024: 14885-14894 - [c21]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CVPR 2024: 22914-22923 - [c20]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: 7415-7419 - [i44]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 abs/2406.10617 (2024) - [i43]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CoRR abs/2408.10798 (2024) - 2023
- [j12]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: 17906-17921 (2023) - [j11]Mohammad Hajizadeh, Mohammad Sabokrou, Adel Rahmani:
MobileDenseNet: A new approach to object detection on mobile devices. Expert Syst. Appl. 215: 119348 (2023) - [j10]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): 3069-3080 (2023) - [c19]Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. ACML 2023: 1-14 - [c18]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 - [i42]Hossein Rezaei, Mohammad Sabokrou:
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space. CoRR abs/2305.19424 (2023) - [i41]Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou:
Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations. CoRR abs/2306.03531 (2023) - [i40]Mohammad Mahdi Mehmanchi, Mahbod Nouri, Mohammad Sabokrou:
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis. CoRR abs/2306.06414 (2023) - [i39]Zahra Rezvani, Soroor Shekarizeh, Mohammad Sabokrou:
Global-Local Processing in Convolutional Neural Networks. CoRR abs/2306.08336 (2023) - [i38]Mozhgan PourKeshavarz, Mohammad Sabokrou, Amir Rasouli:
IMPOSITION: Implicit Backdoor Attack through Scenario Injection. CoRR abs/2306.15755 (2023) - [i37]Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. CoRR abs/2307.01473 (2023) - [i36]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 abs/2310.05263 (2023) - [i35]Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou, Fatemeh Aghaeipoor:
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives. CoRR abs/2311.06786 (2023) - [i34]Hossein Rezaei, Mohammad Sabokrou:
Class-Adaptive Sampling Policy for Efficient Continual Learning. CoRR abs/2311.16485 (2023) - 2022
- [j9]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) - [c17]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: 1-6 - [c16]Mozhgan PourKeshavarz, Guoying Zhao, Mohammad Sabokrou:
Looking Back on Learned Experiences For Class/task Incremental Learning. ICLR 2022 - [c15]Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou:
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. ICPR 2022: 2814-2821 - [i33]Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou:
All You Need In Sign Language Production. CoRR abs/2201.01609 (2022) - [i32]Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou:
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. CoRR abs/2202.00050 (2022) - [i31]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 abs/2205.14297 (2022) - [i30]Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Adel Rahmani:
MobileDenseNet: A new approach to object detection on mobile devices. CoRR abs/2207.11031 (2022) - [i29]Vahid Reza Khazaie, Anthony Wong, Mohammad Sabokrou:
Are Out-of-Distribution Detection Methods Reliable? CoRR abs/2211.10892 (2022) - 2021
- [j8]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: 115596 (2021) - [j7]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): 3752-3794 (2021) - [j6]Mohammad Sabokrou, Mahmood Fathy, Guoying Zhao, Ehsan Adeli:
Deep End-to-End One-Class Classifier. IEEE Trans. Neural Networks Learn. Syst. 32(2): 675-684 (2021) - [c14]Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Sign Language Production: A Review. CVPR Workshops 2021: 3451-3461 - [c13]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: 1-5 - [c12]Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou:
G2D: Generate to Detect Anomaly. WACV 2021: 2002-2011 - [i28]Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou:
Image/Video Deep Anomaly Detection: A Survey. CoRR abs/2103.01739 (2021) - [i27]Mozhgan PourKeshavarz, Mohammad Sabokrou:
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning. CoRR abs/2103.12216 (2021) - [i26]Bahram Mohammadi, Mohammad Sabokrou:
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations. CoRR abs/2103.15486 (2021) - [i25]Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Sign Language Production: A Review. CoRR abs/2103.15910 (2021) - [i24]Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Multi-Modal Zero-Shot Sign Language Recognition. CoRR abs/2109.00796 (2021) - [i23]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 abs/2110.14051 (2021) - 2020
- [j5]Mohammad Shahverdy, Mahmood Fathy, Reza Berangi, Mohammad Sabokrou:
Driver behavior detection and classification using deep convolutional neural networks. Expert Syst. Appl. 149: 113240 (2020) - [j4]Djamila Romaissa Beddiar, Brahim Nini, Mohammad Sabokrou, Abdenour Hadid:
Vision-based human activity recognition: a survey. Multim. Tools Appl. 79(41-42): 30509-30555 (2020) - [c11]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: 27-32 - [c10]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: 46-57 - [i22]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 abs/2001.06099 (2020) - [i21]Mohammad Sabokrou, Masoud PourReza, Xiaobai Li, Mahmood Fathy, Guoying Zhao:
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions. CoRR abs/2002.04821 (2020) - [i20]Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou:
G2D: Generate to Detect Anomaly. CoRR abs/2006.11629 (2020) - [i19]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 abs/2006.15127 (2020) - [i18]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 abs/2006.15799 (2020) - [i17]Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging. CoRR abs/2009.11090 (2020)
2010 – 2019
- 2019
- [c9]Sasan Sharifipour, Hossein Fayyazi, Mohammad Sabokrou, Ehsan Adeli:
Unsupervised Feature Ranking and Selection Based on Autoencoders. ICASSP 2019: 3172-3176 - [c8]Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli:
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. ICCV 2019: 8009-8018 - [c7]Bahram Mohammadi, Mohammad Sabokrou:
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. LCN 2019: 270-273 - [c6]Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli:
Generative Adversarial Irregularity Detection in Mammography Images. PRIME@MICCAI 2019: 94-104 - [i16]Bahram Mohammadi, Mohammad Sabokrou:
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. CoRR abs/1904.11577 (2019) - [i15]Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid:
AVD: Adversarial Video Distillation. CoRR abs/1907.05640 (2019) - [i14]Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli:
Self-Supervised Representation Learning via Neighborhood-Relational Encoding. CoRR abs/1908.10455 (2019) - [i13]Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou:
AutoIDS: Auto-encoder Based Method for Intrusion Detection System. CoRR abs/1911.03306 (2019) - 2018
- [j3]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: 88-97 (2018) - [c5]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. ACCV (6) 2018: 488-505 - [c4]Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. CVPR 2018: 3379-3388 - [c3]Masoud PourReza, Reza Derakhshan, Hossein Fayyazi, Mohammad Sabokrou:
Sub-word based Persian OCR Using Auto-Encoder Features and Cascade Classifier. IST 2018: 481-485 - [i12]Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli:
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. CoRR abs/1802.06205 (2018) - [i11]Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. CoRR abs/1802.09088 (2018) - [i10]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. CoRR abs/1805.09521 (2018) - [i9]Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Semantic Video Segmentation: A Review on Recent Approaches. CoRR abs/1806.06172 (2018) - [i8]Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Online Signature Verification using Deep Representation: A new Descriptor. CoRR abs/1806.09986 (2018) - 2017
- [j2]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): 965-985 (2017) - [j1]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): 1992-2004 (2017) - 2016
- [c2]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: 493-509 - [i7]Hossein Fayyazi, Mohammad Sabokrou:
An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks. CoRR abs/1603.02419 (2016) - [i6]Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy, Reinhard Klette:
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation. CoRR abs/1608.05971 (2016) - [i5]Seyyed Hossein HasanPour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou:
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures. CoRR abs/1608.06037 (2016) - [i4]Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette:
Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes. CoRR abs/1609.00866 (2016) - 2015
- [c1]Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard Klette:
Real-time anomaly detection and localization in crowded scenes. CVPR Workshops 2015: 56-62 - [i3]Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy:
Feature Representation for Online Signature Verification. CoRR abs/1505.08153 (2015) - [i2]Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy:
A Novel Approach For Finger Vein Verification Based on Self-Taught Learning. CoRR abs/1508.03710 (2015) - [i1]Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard Klette:
Real-Time Anomaly Detection and Localization in Crowded Scenes. CoRR abs/1511.06936 (2015)
Coauthor Index
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