Results 1 to 10 of about 84,861 (129)

Surgical training and research in mesh complications

Continence
Eva Fong, S. Hartigan, R. Dmochowski, Charlotte Korte, Nicolle Germano, Sherif Mourad, H. Hashim   +6 more
semanticscholar   +3 more sources

MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction [PDF]

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022
Traditional methods of reconstructing 3D human pose and mesh from single images rely on paired image-mesh datasets, which can be difficult and expensive to obtain.
Kevin Lin, Chung-Ching Lin, Lin Liang, Zicheng Liu, Lijuan Wang   +4 more
semanticscholar   +1 more source

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution [PDF]

Computer Vision and Pattern Recognition, 2022
Estimating the pose and shape of hands and objects under interaction finds numerous applications including aug-mented and virtual reality. Existing approaches for hand and object reconstruction require explicitly defined physical constraints and known ...
Tze Ho Elden Tse, K. Kim, A. Leonardis, H. Chang   +3 more
semanticscholar   +1 more source

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks [PDF]

International Conference on Autonomic Computing and Self-Organizing Systems, 2021
Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0.
Soeren Becker, Florian Schmidt, L. Thamsen, A. J. Ferrer, Odej Kao   +4 more
semanticscholar   +1 more source

SEMANTIC SEGMENTATION OF URBAN TEXTURED MESHES THROUGH POINT SAMPLING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Textured meshes are becoming an increasingly popular representation combining the 3D geometry and radiometry of real scenes. However, semantic segmentation algorithms for urban mesh have been little investigated and do not exploit all radiometric ...
G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet   +2 more
doaj   +1 more source

Standardised Competency-Based Training of Medical Doctors and Associate Clinicians in Inguinal Repair with Mesh in Sierra Leone

World Journal of Surgery, 2023
In low-income settings, there is a high unmet need for hernia surgery, and most procedures are performed with tissue repair techniques. In preparation for a randomized clinical trial, medical doctors and associate clinicians received a short-course ...
T. Ashley, Hannah Ashley, A. Wladis, P. Nordin, M. Ohene-Yeboah, R. Rukas, Vytautas Lipnickas, I. Smalle, Kristina Holm, Herta Kalsi, Juuli Palmu, F. Sahr, J. Beard, J. Löfgren, H. Bolkan, A. V. van Duinen   +15 more
semanticscholar   +1 more source

Facial UV map completion for pose-invariant face recognition: a novel adversarial approach based on coupled attention residual UNets [PDF]

Hum. centric Comput. Inf. Sci., 2020
Pose-invariant face recognition refers to the problem of identifying or verifying a person by analyzing face images captured from different poses. This problem is challenging due to the large variation of pose, illumination and facial expression.
In Seop Na, C. Tran, Dung Nguyen, S. Dinh   +3 more
semanticscholar   +1 more source

Planar Delaunay Mesh Smoothing Method Based on Angle and a Deep Q-Network

Applied Sciences, 2023
Mesh quality is critical to the accuracy and efficiency of finite element calculations, and mesh smoothing is an essential means of reducing the number of poor elements and improving mesh quality.
Fu Zhao, Guangjun Sun
doaj   +1 more source

Research on the development and testing methods of physical education and agility training equipment in universities

Frontiers in Psychology, 2023
IntroductionBecause of the problems of insufficient funds and traditional training methods in college sports agile training, an agile training system based on a wireless ad hoc network was developed to evaluate the effect of improving the sensitive ...
Baohua Tan, Baohua Tan, Shihao Tian, Shihao Tian, Enpu Wang, Enpu Wang, Lu Xiao, Lu Xiao, Kan Cao, Kan Cao, Beitian Zheng, Beitian Zheng, Lina Luo   +12 more
doaj   +1 more source

Fast Prediction of Transport Structures in the Melt by Physics Informed Neural Networks during ‘VMCz’ Crystal Growth of Silicon

Journal of Chemical Engineering of Japan, 2023
Fast prediction of fluid flow and thermal fields during the growth of bulk silicon single crystals by the ‘Vertical Magnetic Field Applied Czochralski (VMCz) Method’ was successfully achieved by the application of Physics Informed Neural Networks (PINNs)
Yuto Takehara, Yasunori Okano, Sadik Dost   +2 more
doaj   +1 more source