FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality
Leveraging real-time eye-tracking, foveated rendering optimizes hardware efficiency and
enhances visual quality virtual reality (VR). This approach leverages eye-tracking …
enhances visual quality virtual reality (VR). This approach leverages eye-tracking …
CRISP: Concurrent Rendering and Compute Simulation Platform for GPUs
Programmable graphics and compute shaders have blurred the lines between graphics
processing and general-purpose computation. APIs such as Asynchronous Compute enable …
processing and general-purpose computation. APIs such as Asynchronous Compute enable …
A Near-Eye DVS-Based End-to-End Eye Tracking Processor for AR/VR Applications
S Tan, J Huang, Q Yan, L Zheng… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper presents a near-eye DVS-based end-to-end eye tracking processor for
augmented reality/virtual reality (AR/VR) devices, addressing the need for low-power, high …
augmented reality/virtual reality (AR/VR) devices, addressing the need for low-power, high …
Multiple Sensor-based Adaptive Foveated Display Control for Enhanced Computational Efficiency of Virtual Reality Devices.
K Kea, Y Han, TK Kim - KSII Transactions on Internet & …, 2024 - search.ebscohost.com
The demand for immersive virtual reality (VR) experiences in high resolution has escalated,
necessitating the development of advanced hardware (HW) capable of rendering images …
necessitating the development of advanced hardware (HW) capable of rendering images …
Integrated Hand and Eye Communication Device for Intensive Care Unit (ICU) Patients
Abstract Numerous Intensive Care Unit (ICU) patients may be unable to speak or move their
body due to being intubated or weak muscles. This makes the communication harder, as …
body due to being intubated or weak muscles. This makes the communication harder, as …
[PDF][PDF] ICCAD: G: Machine Learning Algorithm and Hardware Co-Design Towards Green and Ubiquitous AI on Both Edge and Cloud
H You - src.acm.org
The escalating complexity of state-of-the-art machine learning (ML) models is marked by
their expanding parameters and the substantial floating-point operations (FLOPs) required …
their expanding parameters and the substantial floating-point operations (FLOPs) required …