A survey on generative ai and llm for video generation, understanding, and streaming
This paper offers an insightful examination of how currently top-trending AI technologies, ie,
generative artificial intelligence (Generative AI) and large language models (LLMs), are …
generative artificial intelligence (Generative AI) and large language models (LLMs), are …
Deep learning for human activity recognition on 3d human skeleton: survey and comparative study
Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …
problem is widely applied to building applications in human–machine interactions …
Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
Channel Attention‐Based Approach with Autoencoder Network for Human Action Recognition in Low‐Resolution Frames
E Dastbaravardeh, S Askarpour… - … Journal of Intelligent …, 2024 - Wiley Online Library
Action recognition (AR) has many applications, including surveillance, health/disabilities
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …
A survey of visual affordance recognition based on deep learning
D Chen, D Kong, J Li, S Wang… - IEEE Transactions on Big …, 2023 - ieeexplore.ieee.org
Visual affordance recognition is an important research topic in robotics, human-computer
interaction, and other computer vision tasks. In recent years, deep learning-based …
interaction, and other computer vision tasks. In recent years, deep learning-based …
HARNet in deep learning approach—a systematic survey
NS Kumar, G Deepika, V Goutham, B Buvaneswari… - Scientific Reports, 2024 - nature.com
A comprehensive examination of human action recognition (HAR) methodologies situated at
the convergence of deep learning and computer vision is the subject of this article. We …
the convergence of deep learning and computer vision is the subject of this article. We …
Choquet integral-based Aczel–Alsina aggregation operators for interval-valued intuitionistic fuzzy information and their application to human activity recognition
Human activity recognition (HAR) is the process of interpreting human activities with the help
of electronic devices such as computer and machine version technology. Humans can be …
of electronic devices such as computer and machine version technology. Humans can be …
A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition
Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …
world applications ranging from healthcare to industrial environments. As the volume of …
Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution
S Sarraf, M Kabia - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
This study introduces an optimal topology of vision transformers for real-time video action
recognition in a cloud-based solution. Although model performance is a key criterion for real …
recognition in a cloud-based solution. Although model performance is a key criterion for real …
Human action recognition systems: A review of the trends and state-of-the-art
Human action recognition (HAR), deeply rooted in computer vision, video surveillance,
automated observation, and human-computer interaction (HCI), enables precise …
automated observation, and human-computer interaction (HCI), enables precise …