Naimul Mefraz Khan

Orcid: 0000-0002-8229-0747

Affiliations:
  • Toronto Metropolitan University, ON, Canada
  • Ryerson University, Toronto, ON, Canada (former)


According to our database1, Naimul Mefraz Khan authored at least 81 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Motion Vector Extrapolation for Video Object Detection.
J. Imaging, 2023

Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation.
CoRR, 2023

Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation.
CoRR, 2023

Towards Efficient Multi-view Representation Learning.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Interpretable Artificial Intelligence through Locality Guided Neural Networks.
Neural Networks, 2022

GRIHA: synthesizing 2-dimensional building layouts from images captured using a smart phone.
Multim. Tools Appl., 2022

Efficient and Scalable Object Localization in 3D on Mobile Device.
J. Imaging, 2022

A Survey on Physiological Signal Based Emotion Recognition.
CoRR, 2022

Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis.
Biomed. Signal Process. Control., 2022

A Highly Optimized GPU Batched Elasticnet Solver (BENS) with Application to Real- Time Keypoint Detection for Image Retrieval.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model.
Proceedings of the IEEE International Conference on Digital Health, 2022

Edge-preserving Image Synthesis for Unsupervised Domain Adaptation in Medical Image Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Affective State Recognition with Convolutional Autoencoders.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Interactive Segmentation Using U-Net with Weight Map and Dynamic User Interactions.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Skin lesion segmentation using a semi-supervised U-NetSC model with an adaptive loss function.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi-Level Classification of Lung Pathologies in Neonates using Recurrence Features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Improving Interactive Segmentation using a Novel Weighted Loss Function with an Adaptive Click Size and Two-Stream Fusion.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

A Dynamically Weighted Loss Function for Unsupervised Image Segmentation.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition.
IEEE Trans. Multim., 2021

Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability.
Mach. Learn. Knowl. Extr., 2021

Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition.
Neurocomputing, 2021

Trends in Heart-Rate Variability Signal Analysis.
Frontiers Digit. Health, 2021

Edge-preserving Domain Adaptation for semantic segmentation of Medical Images.
CoRR, 2021

Online unsupervised Learning for domain shift in COVID-19 CT scan datasets.
CoRR, 2021

Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion.
CoRR, 2021

Inertial Sensor Data To Image Encoding For Human Action Recognition.
CoRR, 2021

ECG Heartbeat Classification Using Multimodal Fusion.
IEEE Access, 2021

A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

ECG Heart-Beat Classification Using Multimodal Image Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2021

Interpreting Uncertainty in Model Predictions for Covid-19 Diagnosis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An Interpretable Object Detection-Based Model For The Diagnosis Of Neonatal Lung Diseases Using Ultrasound Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction.
Neural Networks, 2020

CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors.
CoRR, 2020

A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Locality Guided Neural Networks for Explainable Artificial Intelligence.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

LayART: Generating indoor layout using ARCore Transformations.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Extended Abstract: CoShopper - Leveraging Artificial Intelligence for an Enhanced Augmented Reality Grocery Shopping Experience.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020

2019
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors.
CoRR, 2019

DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems.
CoRR, 2019

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.
CoRR, 2019

Deep Clustering with a Dynamic Autoencoder.
CoRR, 2019

Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease.
IEEE Access, 2019

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition.
Proceedings of the IEEE International Symposium on Multimedia, 2019

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Scene-Based Augmented Reality Framework for Exhibits.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Novel Segmentation Metrics for Use in Augmented Reality Advertisement Integration.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Multidomain Multimodal Fusion for Human Action Recognition Using Inertial Sensors.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
A Novel Image-Centric Approach Toward Direct Volume Rendering.
ACM Trans. Intell. Syst. Technol., 2018

Deep Reinforcement Learning with Parameterized Action Space for Object Detection.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Brain MRI Segmentation using efficient 3D Fully Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A Novel Image-centric Approach Towards Direct Volume Rendering.
CoRR, 2017

Real-Time System for Human Activity Analysis.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

Towards Alzheimer's disease classification through transfer learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Towards a shared large-area mixed reality system.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2015
Intuitive volume exploration through spherical self-organizing map and color harmonization.
Neurocomputing, 2015

A Machine Intelligence Approach to Virtual Ballet Training.
IEEE Multim., 2015

On video based face recognition through adaptive sparse dictionary.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014
SN-SVM: a sparse nonparametric support vector machine classifier.
Signal Image Video Process., 2014

Covariance-guided One-Class Support Vector Machine.
Pattern Recognit., 2014

A Visual Evaluation Framework for In-Home Physical Rehabilitation.
Proceedings of the 2014 IEEE International Symposium on Multimedia, 2014

Volume visualization using sparse nonparametric support vector machines and harmoniccolors.
Proceedings of the IEEE International Conference on Acoustics, 2014

ImmerVol: An immersive volume visualization system.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2014

2013
Incorporating covariance information in one class support vector classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
An efficient signature representation for retrieval of spatially similar images.
Signal Image Video Process., 2012

A novel SVM+NDA model for classification with an application to face recognition.
Pattern Recognit., 2012

Intuitive Volume Exploration through Spherical Self-Organizing Map.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

A Sparse Support Vector Machine Classifier with Nonparametric Discriminants.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
A novel Accelerated Greedy Snake Algorithm for active contours.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

2010
A New SVM + NDA Model for Improved Classification and Recognition.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

A new combined KSVM and KFD model for classification and recognition.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

2009
A new signature for quadtree-based image matching.
Proceedings of the MoMM'2009, 2009


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