Results 81 to 90 of about 2,834,648 (359)
Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks [PDF]
IEEE Transactions on Image Processing, 2017 Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, long short-term memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynamics ...
Jun Liu +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
ODN: Opening the Deep Network for Open-set Action Recognition
, 2019 In recent years, the performance of action recognition has been significantly improved with the help of deep neural networks. Most of the existing action recognition works hold the \textit{closed-set} assumption that all action categories are known ...
Shi, Yemin +5 more
core +1 more source
An Efficient Algorithm for Recognition of Human Actions [PDF]
The Scientific World Journal, 2014 Recognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention.
Yaser Daanial Khan +6 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Pose for Action - Action for Pose
, 2017 In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits high-level information about activities to incorporate higher-order part ...
Gall, Juergen +2 more
core +1 more source
An original framework for understanding human actions and body language by using deep neural networks [PDF]
, 2020 The evolution of both fields of Computer Vision (CV) and Artificial Neural Networks (ANNs) has allowed the development of efficient automatic systems for the analysis of people's behaviour. By studying hand movements it is possible to recognize gestures,
MASSARONI, CRISTIANO
core
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition [PDF]
, 2021 Liang Xu +3 more
openalex +1 more source
Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report
Pediatric Blood &Cancer, EarlyView.ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan +6 more
wiley +1 more source