Information criteria for model selection
The rapid development of modeling techniques has brought many opportunities for data‐
driven discovery and prediction. However, this also leads to the challenge of selecting the …
driven discovery and prediction. However, this also leads to the challenge of selecting the …
GarmentCodeData: A dataset of 3D made-to-measure garments with sewing patterns
Recent research interest in learning-based processing of garments, from virtual fitting to
generation and reconstruction, stumbles on a scarcity of high-quality public data in the …
generation and reconstruction, stumbles on a scarcity of high-quality public data in the …
Topological graph representation of stratigraphic properties of spatial-geological characteristics and compression modulus prediction by mechanism-driven learning
M Wang, E Wang, X Liu, C Wang - Computers and Geotechnics, 2023 - Elsevier
The soil's compression modulus (Es) is one of the most critical mechanical parameters for
studying land subsidence in urban strata. Meanwhile, the vertical heterogeneity and lateral …
studying land subsidence in urban strata. Meanwhile, the vertical heterogeneity and lateral …
Modeling of Nonlinear Dynamic Processes of Human Movement in Virtual Reality Based on Digital Shadows
A Obukhov, D Dedov, A Volkov, D Teselkin - Computation, 2023 - mdpi.com
In virtual reality (VR) systems, a problem is the accurate reproduction of the user's body in a
virtual environment using inverse kinematics because existing motion capture systems have …
virtual environment using inverse kinematics because existing motion capture systems have …
ScLinear predicts protein abundance at single-cell resolution
D Hanhart, F Gossi, MA Rapsomaniki… - Communications …, 2024 - nature.com
Single-cell multi-omics have transformed biomedical research and present exciting machine
learning opportunities. We present scLinear, a linear regression-based approach that …
learning opportunities. We present scLinear, a linear regression-based approach that …
Overview of software and file exchange formats in 3D and 4D body shape scanning
S Scataglini, S Truijen - … of the 7th International Digital Human …, 2022 - pubs.lib.uiowa.edu
For capturing only static models, 3D body scanning is well known in various application
areas such as medicine, automotive, sports, clothing, product design and gaming. These …
areas such as medicine, automotive, sports, clothing, product design and gaming. These …
[HTML][HTML] TransSMPL: Efficient Human Pose Estimation with Pruned and Quantized Transformer Networks
Existing Transformers for 3D human pose and shape estimation models often struggle with
computational complexity, particularly when handling high-resolution feature maps. These …
computational complexity, particularly when handling high-resolution feature maps. These …
Cluster Size Intelligence Prediction System for Young Women's Clothing Using 3D Body Scan Data
Z Tan, S Lin, Z Wang - Mathematics, 2024 - mdpi.com
This study adopts a data-driven methodology to address the challenge of garment fitting for
individuals with diverse body shapes. Focusing on young Chinese women aged 18–25 from …
individuals with diverse body shapes. Focusing on young Chinese women aged 18–25 from …
Automated anthropometric measurements from 3D point clouds of scanned bodies
Anthropometry plays a critical role across numerous sectors, particularly within healthcare
and fashion, by facilitating the analysis of the human body structure. The significance of …
and fashion, by facilitating the analysis of the human body structure. The significance of …
Leveraging Digital Perceptual Technologies for Remote Perception and Analysis of Human Biomechanical Processes: A Contactless Approach for Workload and Joint …
This study presents an innovative computer vision framework designed to analyze human
movements in industrial settings, aiming to enhance biomechanical analysis by integrating …
movements in industrial settings, aiming to enhance biomechanical analysis by integrating …