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Rifatul Islam
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2020 – today
- 2025
- [c13]Nasim Ahmed, Taeyeong Choi, Xinyue Zhang, Sahidul Islam, Rifatul Islam:
Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings. VR Workshops 2025: 307-309 - [c12]Isayas Berhe Adhanom, Daniel Zielasko, Rifatul Islam, Gerard Kim, Evan Suma Rosenberg:
The Sixth Workshop on Immersive Sickness Prevention. VR Workshops 2025: 813-814 - [c11]Md. Jahirul Islam, Rifatul Islam:
Towards Optimized Real-time Cybersickness Detection Framework Using Deep Learning for Standalone Virtual Reality Headsets. VR Workshops 2025: 1480-1481 - 2024
- [j1]Umama Tasnim, Rifatul Islam
, Kevin Desai, John Quarles:
Investigating Personalization Techniques for Improved Cybersickness Prediction in Virtual Reality Environments. IEEE Trans. Vis. Comput. Graph. 30(5): 2368-2378 (2024) - [c10]Md. Jahirul Islam, Rifatul Islam:
Towards Optimized Cybersickness Prediction for Computationally Constrained Standalone Virtual Reality Devices. VR Workshops 2024: 1003-1004 - 2023
- [c9]Ripan Kumar Kundu, Rifatul Islam
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI. VR 2023: 609-619 - [i3]Ripan Kumar Kundu, Rifatul Islam, John Quarles, Khaza Anuarul Hoque:
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI. CoRR abs/2302.03037 (2023) - 2022
- [c8]Kebin Peng, Rifatul Islam
TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction. CVPR Workshops 2022: 221-229 - [c7]Rifatul Islam
Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network. ISMAR 2022: 121-130 - [c6]Ripan Kumar Kundu, Rifatul Islam
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning. ISMAR 2022: 777-786 - [i2]Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam, Khaza Anuarul Hoque:
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning. CoRR abs/2209.05257 (2022) - 2021
- [c5]Rifatul Islam
Cybersickness Prediction from Integrated HMD's Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data. ISMAR 2021: 31-40 - [c4]Rifatul Islam
CyberSense: A Closed-Loop Framework to Detect Cybersickness Severity and Adaptively apply Reduction Techniques. VR Workshops 2021: 148-155 - [i1]Rifatul Islam, Kevin Desai, John Quarles:
VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network. CoRR abs/2108.06437 (2021) - 2020
- [c3]Rifatul Islam
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. ISMAR 2020: 400-411 - [c2]Rifatul Islam
A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness. VR Workshops 2020: 559-560 - [c1]Rifatul Islam
Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation. VR Workshops 2020: 649-650
Coauthor Index
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