GitHub

ego-1k_--_a_large-scale_multiview_video_dataset_for_egocentric_vision.md

Ours introduces Ego-1K, a large-scale time-synchronized egocentric multiview video dataset containing 956 short videos (12+4 cameras, 60Hz). It fills the data gap in the field of egocentric dynamic 3D ...
Semiconductor Engineering

Physics Simulation With Graph Neural Networks Targeting Mobile

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
IEEE

Channel Graph Convolutional Networks for Animation Image Super-Resolution

Abstract: Animation images exhibit rich edge characteristics, distinct from those found in naturalistic images. Since general image super-resolution reconstruction techniques are not explicitly ...
GitHub

LiteSpiralGCN: Lightweight 3D Hand Mesh Reconstruction via Spiral Graph Convolution

2025-2-24. Add more details on installation, training, and testing. 2025-1-23. Add more Results. 2024-5-20. Add LiteSpiralGCN model. Download the pre-trained weights of LiteSpiralGCN from Baidu cloud ...
Frontiers

Improved spatial–temporal graph convolutional networks for upper limb rehabilitation assessment based on precise posture measurement

After regular rehabilitation training, paralysis sequelae can be significantly reduced in patients with limb movement disorders caused by stroke. Rehabilitation assessment is the basis for the ...
Frontiers

Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation

Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...
C&EN

Deep Convolutional Neural Network with Deconvolution and a Deep Autoencoder for Fault Detection and Diagnosis

Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan ...