Results 51 to 60 of about 550,284 (290)

Face Alignment Assisted by Head Pose Estimation

, 2015
In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation. We first investigate the failure cases of most state of the art face alignment approaches and observe that these failures ...
Gunes, Hatice, Mou, Wenxuan, Patras, Ioannis, Robinson, Peter, Yang, Heng, Zhang, Yichi   +5 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Neuromorphic Event-Based 3D Pose Estimation

Frontiers in Neuroscience, 2016
Pose estimation is a fundamental step in many artificial vision tasks. It consists of estimating the 3D pose of an object with respect to a camera from the object's 2D projection. Current state of the art implementations operate on images.
David eReverter Valeiras, Garrick eOrchard, Sio Hoi eIeng, Ryad Benjamin Benosman   +3 more
doaj   +1 more source

Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking

, 2018
Multi-person human pose estimation and tracking in the wild is important and challenging. For training a powerful model, large-scale training data are crucial.
Chen, Riwei, Guo, Hengkai, Lu, Yongchen, Luo, Guozhong, Tang, Tang, Wen, Linfu   +5 more
core   +1 more source

PifPaf: Composite Fields for Human Pose Estimation [PDF]

, 2019
We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots.
Alahi, Alexandre, Bertoni, Lorenzo, Kreiss, Sven   +2 more
core   +2 more sources

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

Efficient Sampling of Two-Stage Multi-Person Pose Estimation and Tracking from Spatiotemporal

Applied Sciences
Tracking the articulated poses of multiple individuals in complex videos is a highly challenging task due to a variety of factors that compromise the accuracy of estimation and tracking.
Song Lin, Wenjun Hou
doaj   +1 more source

Human Pose Estimation Using Deep Learning: A Systematic Literature Review

Machine Learning and Knowledge Extraction, 2023
Human Pose Estimation (HPE) is the task that aims to predict the location of human joints from images and videos. This task is used in many applications, such as sports analysis and surveillance systems.
Esraa Samkari, Muhammad Arif, Manal Alghamdi, Mohammed A. Al Ghamdi   +3 more
doaj   +1 more source

Exploiting temporal information for 3D pose estimation

, 2018
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict ...
Alejandro Newell, C Barron, C Ionescu, D Mehta, F Bogo, G Mori, HJ Lee, L Bo, L Sigal, S Hochreiter, S Li, S Park, V Ramakrishna, X Zhou, Y Du   +14 more
core   +1 more source