Mohammad Sabokrou

Adel Rahmani

Mach. Vis. Appl., March, 2024

2023

Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding.

[BibT_eX]

[DOI]

Fatemeh Aghaeipoor

Alberto Fernández

IEEE Trans. Fuzzy Syst., September, 2023

MobileDenseNet: A new approach to object detection on mobile devices.

[BibT_eX]

[DOI]

Mohammad Hajizadeh

Adel Rahmani

Expert Syst. Appl., April, 2023

Class-Adaptive Sampling Policy for Efficient Continual Learning.

[BibT_eX]

[DOI]

Hossein Rezaei

CoRR, 2023

Explainability of Vision Transformers: A Comprehensive Review and New Perspectives.

[BibT_eX]

[DOI]

CoRR, 2023

Confidence-driven Sampling for Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Mitigating Bias: Enhancing Image Classification by Improving Model Explanations.

[BibT_eX]

[DOI]

Raha Ahmadi

Mohammad Javad Rajabi

Mohammad Khalooie

CoRR, 2023

IMPOSITION: Implicit Backdoor Attack through Scenario Injection.

[BibT_eX]

[DOI]

Mozhgan PourKeshavarz

Amir Rasouli

CoRR, 2023

Global-Local Processing in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Zahra Rezvani

Soroor Shekarizeh

CoRR, 2023

Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis.

[BibT_eX]

[DOI]

Mohammad Mahdi Mehmanchi

Mahbod Nouri

CoRR, 2023

Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations.

[BibT_eX]

[DOI]

Fatemeh Aghaeipoor

Dorsa Asgarian

CoRR, 2023

Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space.

[BibT_eX]

[DOI]

Hossein Rezaei

CoRR, 2023

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets.

[BibT_eX]

[DOI]

IEEE Access, 2023

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection.

[BibT_eX]

[DOI]

Mohammad Hossein Rohban

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.

[BibT_eX]

[DOI]

Mohammad Hossein Rohban

Trans. Mach. Learn. Res., 2022

Are Out-of-Distribution Detection Methods Reliable?

[BibT_eX]

[DOI]

Vahid Reza Khazaie

Anthony Wong

CoRR, 2022

MobileDenseNet: A new approach to object detection on mobile devices.

[BibT_eX]

[DOI]

Adel Rahmani

CoRR, 2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.

[BibT_eX]

[DOI]

Mohammad Hossein Rohban

CoRR, 2022

All You Need In Sign Language Production.

[BibT_eX]

[DOI]

CoRR, 2022

Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Looking Back on Learned Experiences For Class/task Incremental Learning.

[BibT_eX]

[DOI]

Mozhgan PourKeshavarz

Guoying Zhao

Hamid Reza Soltanalizadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Imaging Time Series for Deep Embedded Clustering: a Cryptocurrency Regime Detection Use Case.

[BibT_eX]

[DOI]

Amin Najafgholizadeh

Arman Nasirkhani

Hamid Reza Mazandarani

Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022

2021

Deep End-to-End One-Class Classifier.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Improving the learning of self-driving vehicles based on real driving behavior using deep neural network techniques.

[BibT_eX]

[DOI]

J. Supercomput., 2021

Deep-HR: Fast heart rate estimation from face video under realistic conditions.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Multi-Modal Zero-Shot Sign Language Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations.

[BibT_eX]

[DOI]

CoRR, 2021

ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning.

[BibT_eX]

[DOI]

Mozhgan PourKeshavarz

CoRR, 2021

Image/Video Deep Anomaly Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

G2D: Generate to Detect Anomaly.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021

Sign Language Production: A Review.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Vision-based human activity recognition: a survey.

[BibT_eX]

[DOI]

Djamila Romaissa Beddiar

Brahim Nini

Abdenour Hadid

Multim. Tools Appl., 2020

Driver behavior detection and classification using deep convolutional neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

2019

AutoIDS: Auto-encoder Based Method for Intrusion Detection System.

[BibT_eX]

[DOI]

Mohammed Gharib

Shadi Hejareh Dastgerdi

CoRR, 2019

AVD: Adversarial Video Distillation.

[BibT_eX]

[DOI]

Mohammad Tavakolian

Abdenour Hadid

CoRR, 2019

Generative Adversarial Irregularity Detection in Mammography Images.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

Self-Supervised Representation Learning via Neighborhood-Relational Encoding.

[BibT_eX]

[DOI]

Mohammad Khalooei

Ehsan Adeli

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Feature Ranking and Selection Based on Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2018

Online Signature Verification using Deep Representation: A new Descriptor.

[BibT_eX]

[DOI]

CoRR, 2018

Semantic Video Segmentation: A Review on Recent Approaches.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet.

[BibT_eX]

[DOI]

Seyyed Hossein HasanPour

CoRR, 2018

Sub-word based Persian OCR Using Auto-Encoder Features and Cascade Classifier.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Telecommunications, 2018

Adversarially Learned One-Class Classifier for Novelty Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

AVID: Adversarial Visual Irregularity Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Fast and accurate detection and localization of abnormal behavior in crowded scenes.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2017

2016

Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Seyyed Hossein HasanPour

Mohammad Rouhani

CoRR, 2016

An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks.

[BibT_eX]

[DOI]

Hossein Fayyazi

CoRR, 2016

STFCN: Spatio-Temporal FCN for Semantic Video Segmentation.

[BibT_eX]

[DOI]

Reinhard Klette

CoRR, 2016

STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

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

[BibT_eX]

[DOI]

Masoud PourReza

CoRR, 2015

Feature Representation for Online Signature Verification.

[BibT_eX]

[DOI]