Results 71 to 80 of about 60,919 (294)
Learning to Refine Human Pose Estimation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 Multi-person pose estimation in images and videos is an important yet challenging task with many applications. Despite the large improvements in human pose estimation enabled by the development of convolutional neural networks, there still exist a lot of difficult cases where even the state-of-the-art models fail to correctly localize all body joints ...
Mihai Fieraru +3 more
openaire +3 more sources
Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios
, 2017 We evaluate two CNN-based algorithms for keypoint-based human pose analysis on two image test sets containing red carpet scenarios, one taken under controlled conditions in a TV studio environment and another more heterogeneous data set taken from FlickR
Richter, Daniel +5 more
core +1 more source
Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
On Pose Estimation for Human-Robot Symbiosis
International Journal of Advanced Robotic Systems, 2008 This paper presents a vision based pose estimation system using knowledge based approach for human-robot symbiosis. The system is based on visual information of the face by connected component analysis of the skin color segmentation of images in HSV ...
Md. Al-Amin Bhuiyan +2 more
doaj +2 more sources
Efficient Human Pose Estimation in Hierarchical Context
IEEE Access, 2019 Most existing human pose estimation methods focus on enhancing the accuracy performance alone while ignoring the critical model efficiency issue. This dramatically limits their scalability and deployability in large-scale applications.
Feng Zhang, Xiatian Zhu, Mao Ye
doaj +1 more source
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Hierarchical Adversarial Network for Human Pose Estimation
IEEE Access, 2019 This paper presents a novel adversarial deep neural network to estimate human poses from still images, such as those obtained from CCTV and the Internet-of-Things (IoT) devices.
Ibrahim Radwan +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Contextual Rescoring for Human Pose Estimation [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 Given an image of a person, the problem of human pose estimation can be briefly described as localizing the position and orientation of the body limbs. The complexity of the problem comes from issues like background clutter, changes in viewpoint, changes in appearance, self-occlusions of body parts, etc.
Antonio Hernández-Vela +2 more
openaire +2 more sources
Deep Learning based Human Pose Estimation [PDF]
, 2020 University of Technology Sydney. Faculty of Engineering and Information Technology.Human pose estimation is an important research area in vision-based human activity analysis. Human pose estimation aims to estimate the human articulate joint positions in
Li, Yang
core