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 …
A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis
D Feng, H Chen - Advanced Engineering Informatics, 2021 - Elsevier
Abstract Knowledge management is crucial for construction safety management. Widely
collected and well-organized safety-related documents are recognized to be significant in …
collected and well-organized safety-related documents are recognized to be significant in …
Visual captions: augmenting verbal communication with on-the-fly visuals
Video conferencing solutions like Zoom, Google Meet, and Microsoft Teams are becoming
increasingly popular for facilitating conversations, and recent advancements such as live …
increasingly popular for facilitating conversations, and recent advancements such as live …
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Linking human whole-body motion and natural language is of great interest for the
generation of semantic representations of observed human behaviors as well as for the …
generation of semantic representations of observed human behaviors as well as for the …
A review of text-to-animation systems
N Bouali, V Cavalli-Sforza - IEEE Access, 2023 - ieeexplore.ieee.org
Text-to-graphics systems encompass three types of tools: text-to-picture, text-to-scene and
text-to-animation. They are an artificial intelligence application wherein users can create 2D …
text-to-animation. They are an artificial intelligence application wherein users can create 2D …
[HTML][HTML] Automatic and intelligent content visualization system based on deep learning and genetic algorithm
M Ince - Neural Computing and Applications, 2022 - Springer
Increasing demand in distance education, e-learning, web-based learning, and other digital
sectors (eg, entertainment) has led to excessive amounts of e-content. Learning objects …
sectors (eg, entertainment) has led to excessive amounts of e-content. Learning objects …
Empirical evaluation and study of text stemming algorithms
Text stemming is one of the basic preprocessing step for Natural Language Processing
applications which is used to transform different word forms into a standard root form. For …
applications which is used to transform different word forms into a standard root form. For …
Fine-grained feature generation for generalized zero-shot video classification
Generalized zero-shot video classification aims to train a classifier to classify videos
including both seen and unseen classes. Since the unseen videos have no visual …
including both seen and unseen classes. Since the unseen videos have no visual …
Taketoons: Script-driven performance animation
Performance animation is an expressive method for animating characters through human
performance. However, character motion is only one part of creating animated stories. The …
performance. However, character motion is only one part of creating animated stories. The …
Generating animations from screenplays
Automatically generating animation from natural language text finds application in a number
of areas eg movie script writing, instructional videos, and public safety. However, translating …
of areas eg movie script writing, instructional videos, and public safety. However, translating …