Virtual reality solutions employing artificial intelligence methods: A systematic literature review
T Ribeiro de Oliveira, B Biancardi Rodrigues… - ACM Computing …, 2023 - dl.acm.org
Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
Toward the distributed implementation of immersive augmented reality architectures on 5G networks
Augmented reality (AR) has been presented lately as one of the key technology fields in
which 5G networks can become a disruptive tool, raising interest from both industry and …
which 5G networks can become a disruptive tool, raising interest from both industry and …
Full body video-based self-avatars for mixed reality: from E2E system to user study
In this work, we explore the creation of self-avatars through video pass-through in mixed
reality (MR) applications. We present our end-to-end system, including custom MR video …
reality (MR) applications. We present our end-to-end system, including custom MR video …
Real time egocentric segmentation for video-self avatar in mixed reality
In this work we present our real-time egocentric body segmentation algorithm. Our algorithm
achieves a frame rate of 66 fps for an input resolution of 640x480, thanks to our shallow …
achieves a frame rate of 66 fps for an input resolution of 640x480, thanks to our shallow …
Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation
In this paper, we explore a novel Text-supervised Egocentic Semantic Segmentation (TESS)
task that aims to assign pixel-level categories to egocentric images weakly supervised by …
task that aims to assign pixel-level categories to egocentric images weakly supervised by …
Bringing real body as self-avatar into mixed reality: A gamified volcano experience
In this work we showcase a Mixed Reality experience able to bring users' own body as a self-
avatar. This is mainly based on an al-gorithm that segment in real time the egocentric full …
avatar. This is mainly based on an al-gorithm that segment in real time the egocentric full …
Tcp-based distributed offloading architecture for the future of untethered immersive experiences in wireless networks
Task offloading has become a key term in the field of immersive media technologies: it can
enable lighter and cheaper devices while providing them higher remote computational …
enable lighter and cheaper devices while providing them higher remote computational …
Egocentric upper limb segmentation in unconstrained real-life scenarios
The segmentation of bare and clothed upper limbs in unconstrained real-life environments
has been less explored. It is a challenging task that we tackled by training a deep neural …
has been less explored. It is a challenging task that we tackled by training a deep neural …
Learning to segment human body parts with synthetically trained deep convolutional networks
This paper presents a new framework for human body part segmentation based on Deep
Convolutional Neural Networks trained using only synthetic data. The proposed approach …
Convolutional Neural Networks trained using only synthetic data. The proposed approach …
Real time egocentric object segmentation for mixed reality: Thu-read labeling and benchmarking results
Egocentric segmentation has attracted recent interest in the computer vision community due
to their potential in Mixed Reality (MR) applications. While most previous works have been …
to their potential in Mixed Reality (MR) applications. While most previous works have been …