Results 71 to 80 of about 2,738,599 (315)

Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition

AAAI Conference on Artificial Intelligence
Graph convolutional networks (GCNs) have attracted great attention and achieved remarkable performance in skeleton-based action recognition. However, most of the previous works are designed to refine skeleton topology without considering the types of ...
Jianyang Xie, Y. Meng, Yitian Zhao, Anh Nguyen, Xiaoyun Yang, Yalin Zheng   +5 more
semanticscholar   +1 more source

Model-based human action recognition [PDF]

SPIE Proceedings, 2010
The identification of human basic actions plays an important role for recognizing human activities in complex scene. In this paper we propose an approach for automatic human action recognition. The parametric model of human is extracted from image sequences using motion/texture based human detection and tracking.
Nattapon Noorit, Nikom Suvonvorn, Montri Karnchanadecha   +2 more
openaire   +1 more source

Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Approximately 10% of patients with Ewing sarcoma (EwS) have pathogenic germline variants. Here, we report two cases: first, a novel germline pathogenic variant in partner and localizer of BRCA2 (PALB2) in a patient with a late EwS relapse. Its impact on homologous recombination is demonstrated, and breast cancer risk is discussed.
Molly Mack, A. Carolina Tufino, Mohd Azrin Jamalruddin, Sreya Dey, Yinghong Pan, Elina Mukherjee, Jessica D. Daley, Julia Meade, Mahmoud Aarabi, Lisa Maurer, James Cooper, Kara A. Bernstein, Kelly M. Bailey   +12 more
wiley   +1 more source

DIY Human Action Data Set Generation

, 2018
The recent successes in applying deep learning techniques to solve standard computer vision problems has aspired researchers to propose new computer vision problems in different domains.
Joze, Hamid Reza Vaezi, Khodabandeh, Mehran, Pradeep, Vivek, Zharkov, Ilya   +3 more
core   +1 more source

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher, Jennifer L. Bernstein, Katia M. Crisler, Julia K. Herriott, Kimberly L. Klages, Robin E. Norris, Mariann L. Strenk, Sarah E. Bills, Meghan E. McGrady   +8 more
wiley   +1 more source

Unsupervised Human Action Detection by Action Matching

, 2017
We propose a new task of unsupervised action detection by action matching. Given two long videos, the objective is to temporally detect all pairs of matching video segments. A pair of video segments are matched if they share the same human action.
Fernando, Basura, Gould, Stephen, Shirazi, Sareh   +2 more
core   +1 more source

Slow Feature Analysis for Human Action Recognition [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Slow Feature Analysis (SFA) extracts slowly varying features from a quickly varying input signal. It has been successfully applied to modeling the visual receptive fields of the cortical neurons. Sufficient experimental results in neuroscience suggest that the temporal slowness principle is a general learning principle in visual perception.
Zhang, Zhang, Tao, Dacheng
openaire   +3 more sources

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
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, Garbade, Martin, Iqbal, Umar   +2 more
core   +1 more source

Relative dense tracklets for human action recognition [PDF]

2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013
This paper addresses the problem of recognizing human actions in video sequences for home care applications. Recent studies have shown that approaches which use a bag-of-words representation reach high action recognition accuracy. Unfortunately, these approaches have problems to discriminate similar actions, ignoring spatial information of features. As
Bilinski, Piotr, Corvee, Etienne, Bak, Slawomir, Bremond, Francois   +3 more
openaire   +2 more sources