Real-time anomaly detection and localization in crowded scenes. - Mohammad Sabokrou; Mahmood Fathy; Mojtaba Hosseini; Reinhard Klette (CVPR Workshops, 2015)

Feature Representation for Online Signature Verification. - Mohsen Fayyaz; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Mahmood Fathy (CoRR, 2015)

A Novel Approach For Finger Vein Verification Based on Self-Taught Learning. - Mohsen Fayyaz; Masoud PourReza; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Mahmood Fathy (CoRR, 2015)

STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes. - Mohsen Fayyaz; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Mahmood Fathy; Fay Huang; Reinhard Klette (ACCV Workshops (1), 2016)

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation. - Mohsen Fayyaz; Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Mahmood Fathy; Reinhard Klette (CoRR, 2016)

An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks. - Hossein Fayyazi; Mohammad Sabokrou (CoRR, 2016)

Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures. - Seyyed Hossein HasanPour; Mohammad Rouhani; Mohsen Fayyaz; Mohammad Sabokrou (CoRR, 2016)

Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes. - Mohammad Sabokrou; Mohsen Fayyaz; Mahmood Fathy; Reinhard Klette (CoRR, 2016)

Fast and accurate detection and localization of abnormal behavior in crowded scenes. - Mohammad Sabokrou; Mahmood Fathy; Zahra Moayed; Reinhard Klette (Mach. Vis. Appl., 2017)

Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes. - Mohammad Sabokrou; Mohsen Fayyaz; Mahmood Fathy; Reinhard Klette (IEEE Trans. Image Process., 2017)

AVID: Adversarial Visual Irregularity Detection. - Mohammad Sabokrou; Masoud PourReza; Mohsen Fayyaz; Rahim Entezari; Mahmood Fathy; Jürgen Gall; Ehsan Adeli 001 (ACCV (6), 2018)

Adversarially Learned One-Class Classifier for Novelty Detection. - Mohammad Sabokrou; Mohammad Khalooei; Mahmood Fathy; Ehsan Adeli 001 (CVPR, 2018)

Sub-word based Persian OCR Using Auto-Encoder Features and Cascade Classifier. - Masoud PourReza; Reza Derakhshan; Hossein Fayyazi; Mohammad Sabokrou (IST, 2018)

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. - Seyyed Hossein HasanPour; Mohammad Rouhani; Mohsen Fayyaz; Mohammad Sabokrou; Ehsan Adeli 001 (CoRR, 2018)

Semantic Video Segmentation: A Review on Recent Approaches. - Mohammad Hajizadeh Saffar; Mohsen Fayyaz; Mohammad Sabokrou; Mahmood Fathy (CoRR, 2018)

Online Signature Verification using Deep Representation: A new Descriptor. - Mohammad Hajizadeh Saffar; Mohsen Fayyaz; Mohammad Sabokrou; Mahmood Fathy (CoRR, 2018)

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes. - Mohammad Sabokrou; Mohsen Fayyaz; Mahmood Fathy; Zahra Moayed; Reinhard Klette (Comput. Vis. Image Underst., 2018)

Unsupervised Feature Ranking and Selection Based on Autoencoders. - Sasan Sharifipour; Hossein Fayyazi; Mohammad Sabokrou; Ehsan Adeli 001 (ICASSP, 2019)

Self-Supervised Representation Learning via Neighborhood-Relational Encoding. - Mohammad Sabokrou; Mohammad Khalooei; Ehsan Adeli 001 (ICCV, 2019)

End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. - Bahram Mohammadi; Mohammad Sabokrou (LCN, 2019)

Generative Adversarial Irregularity Detection in Mammography Images. - Milad Ahmadi; Mohammad Sabokrou; Mahmood Fathy; Reza Berangi; Ehsan Adeli 001 (PRIME@MICCAI, 2019)

AVD: Adversarial Video Distillation. - Mohammad Tavakolian; Mohammad Sabokrou; Abdenour Hadid (CoRR, 2019)

AutoIDS: Auto-encoder Based Method for Intrusion Detection System. - Mohammed Gharib; Bahram Mohammadi; Shadi Hejareh Dastgerdi; Mohammad Sabokrou (CoRR, 2019)

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. - Farnaz Behnia; Ali Mirzaeian; Mohammad Sabokrou; Sai Manoj P. D.; Tinoosh Mohsenin; Khaled N. Khasawneh; Liang Zhao 002; Houman Homayoun; Avesta Sasan (ISQED, 2020)

Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. - Hanwool Park; Amirhossein Bayat; Mohammad Sabokrou; Jan S. Kirschke; Bjoern H. Menze (PRIME@MICCAI, 2020)

Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks. - Ali Mirzaeian; Mohammad Sabokrou; Mohammad Khalooei; Jana Kosecka; Houman Homayoun; Tinoosh Mohsenin; Avesta Sasan (CoRR, 2020)

Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction. - Ali Mirzaeian; Masoud PourReza; Mohammad Sabokrou; Ashkan Vakil; Tinoosh Mohsenin; Houman Homayoun; Avesta Sasan (CoRR, 2020)

Driver behavior detection and classification using deep convolutional neural networks. - Mohammad Shahverdy; Mahmood Fathy; Reza Berangi; Mohammad Sabokrou (Expert Syst. Appl., 2020)

Vision-based human activity recognition: a survey. - Djamila Romaissa Beddiar; Brahim Nini; Mohammad Sabokrou; Abdenour Hadid (Multim. Tools Appl., 2020)

Sign Language Production: A Review. - Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Mohammad Sabokrou (CVPR Workshops, 2021)

Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques. - Mehdi Safarpour; Tommy Z. Deng; John Massingham; Lei Xun; Mohammad Sabokrou; Olli Silvén (NorCAS, 2021)

G2D: Generate to Detect Anomaly. - Masoud PourReza; Bahram Mohammadi; Mostafa Khaki; Samir Bouindour; Hichem Snoussi; Mohammad Sabokrou (WACV, 2021)

Image/Video Deep Anomaly Detection: A Survey. - Bahram Mohammadi; Mahmood Fathy; Mohammad Sabokrou (CoRR, 2021)

ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning. - Mozhgan PourKeshavarz; Mohammad Sabokrou (CoRR, 2021)

ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations. - Bahram Mohammadi; Mohammad Sabokrou (CoRR, 2021)

Multi-Modal Zero-Shot Sign Language Recognition. - Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Mohammad Sabokrou (CoRR, 2021)

Deep-HR: Fast heart rate estimation from face video under realistic conditions. - Mohammad Sabokrou; Masoud PourReza; Xiaobai Li; Mahmood Fathy; Guoying Zhao 001 (Expert Syst. Appl., 2021)

Improving the learning of self-driving vehicles based on real driving behavior using deep neural network techniques. - Nayereh Zaghari; Mahmood Fathy; Seyed Mahdi Jameii; Mohammad Sabokrou; Mohammad Shahverdy (J. Supercomput., 2021)

Deep End-to-End One-Class Classifier. - Mohammad Sabokrou; Mahmood Fathy; Guoying Zhao 001; Ehsan Adeli 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Imaging Time Series for Deep Embedded Clustering: a Cryptocurrency Regime Detection Use Case. - Amin Najafgholizadeh; Arman Nasirkhani; Hamid Reza Mazandarani; Hamid Reza Soltanalizadeh; Mohammad Sabokrou (CSICC, 2022)

Looking Back on Learned Experiences For Class/task Incremental Learning. - Mozhgan PourKeshavarz; Guoying Zhao 001; Mohammad Sabokrou (ICLR, 2022)

Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. - Soroor Shekarizadeh; Razieh Rastgoo; Saif Al-Kuwari; Mohammad Sabokrou (ICPR, 2022)

All You Need In Sign Language Production. - Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Vassilis Athitsos; Mohammad Sabokrou (CoRR, 2022)

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2022)

MobileDenseNet: A new approach to object detection on mobile devices. - Mohammad Hajizadeh Saffar; Mohammad Sabokrou; Adel Rahmani (CoRR, 2022)

Are Out-of-Distribution Detection Methods Reliable? - Vahid Reza Khazaie; Anthony Wong; Mohammad Sabokrou (CoRR, 2022)

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. - Mohammadreza Salehi; Hossein Mirzaei; Dan Hendrycks; Yixuan Li 001; Mohammad Hossein Rohban; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2022)

Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. - Raha Ahmadi; Mohammad Javad Rajabi; Mohammad Khalooei; Mohammad Sabokrou (ACML, 2023)

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2023)

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. - Marzieh Esmaeili; Amirhosein Toosi; Arash Roshanpoor; Vahid Changizi; Marjan Ghazisaeedi; Arman Rahmim; Mohammad Sabokrou (IEEE Access, 2023)

Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space. - Hossein Rezaei; Mohammad Sabokrou (CoRR, 2023)

Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations. - Fatemeh Aghaeipoor; Dorsa Asgarian; Mohammad Sabokrou (CoRR, 2023)

Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis. - Mohammad Mahdi Mehmanchi; Mahbod Nouri; Mohammad Sabokrou (CoRR, 2023)

Global-Local Processing in Convolutional Neural Networks. - Zahra Rezvani; Soroor Shekarizeh; Mohammad Sabokrou (CoRR, 2023)

IMPOSITION: Implicit Backdoor Attack through Scenario Injection. - Mozhgan PourKeshavarz; Mohammad Sabokrou; Amir Rasouli (CoRR, 2023)

Confidence-driven Sampling for Backdoor Attacks. - Pengfei He; Han Xu 002; Yue Xing 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (CoRR, 2023)

Explainability of Vision Transformers: A Comprehensive Review and New Perspectives. - Rojina Kashefi; Leili Barekatain; Mohammad Sabokrou; Fatemeh Aghaeipoor (CoRR, 2023)

Class-Adaptive Sampling Policy for Efficient Continual Learning. - Hossein Rezaei; Mohammad Sabokrou (CoRR, 2023)

MobileDenseNet: A new approach to object detection on mobile devices. - Mohammad Hajizadeh; Mohammad Sabokrou; Adel Rahmani (Expert Syst. Appl., 2023)

Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. - Fatemeh Aghaeipoor; Mohammad Sabokrou; Alberto Fernández 001 (IEEE Trans. Fuzzy Syst., 2023)

Universal Novelty Detection Through Adaptive Contrastive Learning. - Hossein Mirzaei; Mojtaba Nafez; Mohammad Jafari; Mohammad Bagher Soltani; Mohammad Azizmalayeri; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CVPR, 2024)

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. - Mozhgan Pourkeshavarz; Mohammad Sabokrou; Amir Rasouli (CVPR, 2024)

Killing It With Zero-Shot: Adversarially Robust Novelty Detection. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Zeinab Sadat Taghavi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICASSP, 2024)

Scanning Trojaned Models Using Out-of-Distribution Samples. - Hossein Mirzaei; Ali Ansari 001; Bahar Dibaei Nia; Mojtaba Nafez; Moein Madadi; Sepehr Rezaee; Zeinab Taghavi 001; Arad Maleki; Kian Shamsaie; Mahdi Hajialilue; Jafar Habibi; Mohammad Sabokrou; et al. (NeurIPS, 2024)

Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation. - Mohammad Akhavan Anvari; Rojina Kashefi; Vahid Reza Khazaie; Mohammad Khalooei; Mohammad Sabokrou (CoRR, 2024)

Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay. - Hossein Rezaei; Mohammad Sabokrou (CoRR, 2024)

Leveraging Graph-RAG and Prompt Engineering to Enhance LLM-Based Automated Requirement Traceability and Compliance Checks. - Arsalan Masoudifard; Mohammad Mowlavi Sorond; Moein Madadi; Mohammad Sabokrou; Elahe Habibi (CoRR, 2024)

A survey on recent advances in Sign Language Production. - Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Vassilis Athitsos; Mohammad Sabokrou (Expert Syst. Appl., 2024)

Multi-modal zero-shot dynamic hand gesture recognition. - Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Mohammad Sabokrou (Expert Syst. Appl., 2024)

Projan: A probabilistic trojan attack on deep neural networks. - Mehrin Saremi; Mohammad Khalooei; Razieh Rastgoo; Mohammad Sabokrou (Knowl. Based Syst., 2024)

Stealthy Backdoor Attack via Confidence-driven Sampling. - Pengfei He; Yue Xing 002; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2024)

STARNet: spatio-temporal aware recurrent network for efficient video object detection on embedded devices. - Mohammad Hajizadeh; Mohammad Sabokrou; Adel Rahmani (Mach. Vis. Appl., 2024)

Diverse hand gesture recognition dataset. - Zahra Mohammadi; Alireza Akhavanpour; Razieh Rastgoo; Mohammad Sabokrou (Multim. Tools Appl., 2024)

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2025)

A unified concept-based system for local, global, and misclassification explanations. - Fatemeh Aghaeipoor; Dorsa Asgarian; Mohammad Sabokrou (Neurocomputing, 2025)

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2025)

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. - Hossein Mirzaei; Mojtaba Nafez; Moein Madadi; Arad Maleki; Mahdi Hajialilue; Zeinab Sadat Taghavi; Sepehr Rezaee; Ali Ansari 001; Bahar Dibaei Nia; Kian Shamsaie; Mohammadreza Salehi; Mackenzie W. Mathis; et al. (CoRR, 2025)

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections. - Alireza Salehi; Mohammadreza Salehi; Reshad Hosseini; Cees G. M. Snoek; Makoto Yamada; Mohammad Sabokrou (CoRR, 2025)

PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video. - Makoto Yamada; Kian Ming A. Chai; Ayoub Rhim; Satoki Ishikawa; Mohammad Sabokrou; Yao-Hung Hubert Tsai (CoRR, 2025)