Results 121 to 130 of about 2,834,648 (359)

Multi‐mode neural network for human action recognition

IET Computer Vision, 2020
Video data are of two different intrinsic modes, in‐frame and temporal. It is beneficial to incorporate static in‐frame features to acquire dynamic features for video applications.
Haohua Zhao, Weichen Xue, Xiaobo Li, Zhangxuan Gu, Li Niu, Liqing Zhang   +5 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

2D human skeleton action recognition with spatial constraints

IET Computer Vision
Human actions are predominantly presented in 2D format in video surveillance scenarios, which hinders the accurate determination of action details not apparent in 2D data.
Lei Wang, Jianwei Zhang, Wenbing Yang, Song Gu, Shanmin Yang   +4 more
doaj   +1 more source

Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning

IEEE Access, 2020
Multimodal human action recognition with depth sensors has drawn wide attention, due to its potential applications such as health-care monitoring, smart buildings/home, intelligent transportation, and security surveillance.
Chengwu Liang, Deyin Liu, Lin Qi, Ling Guan   +3 more
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Human Action Recognition Using Multilevel Depth Motion Maps

IEEE Access, 2019
The advent of depth sensors opens up new opportunities for human action recognition by providing depth information. The main purpose of this paper is to present an effective method for human action recognition from depth images. A multilevel frame select
Xu Weiyao, Wu Muqing, Zhao Min, Liu Yifeng, Lv Bo, Xia Ting   +5 more
doaj   +1 more source

Multi-Temporal Convolutions for Human Action Recognition in Videos [PDF]

, 2021
Alexandros Stergiou, Ronald Poppe
openalex   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Human Action Recognition with Graph Neural Networks

, 2021
Νικόλος Κυριάκου Κίλης
openalex   +1 more source