Rifatul Islam

According to our database, Rifatul Islam authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI.

Ripan Kumar Kundu, Rifatul Islam, John Quarles, Khaza Anuarul Hoque

Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023

2022

TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning.

Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam, Khaza Anuarul Hoque

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022

Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network.

Rifatul Islam, Kevin Desai, John Quarles

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022

TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction.

Kebin Peng, Rifatul Islam, John Quarles, Kevin Desai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network.

Rifatul Islam, Kevin Desai, John Quarles

CoRR, 2021

CyberSense: A Closed-Loop Framework to Detect Cybersickness Severity and Adaptively apply Reduction Techniques.

Rifatul Islam, Samuel Ang, John Quarles

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Cybersickness Prediction from Integrated HMD's Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data.

Rifatul Islam, Kevin Desai, John Quarles

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021

2020

Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation.

Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, John Quarles

Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness.

Rifatul Islam

Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals.

Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020