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Found 4 papers, 1 papers with code
Quantifying energy landscape of oscillatory systems: Explosion, pre-solution, and diffusion decomposition
Although the weighted summation of the Gaussian approximation (WSGA) approach has been proposed for quantifying the energy landscape in multistable systems by solving the diffusion equation approximately from moment equations, we are still lacking an accurate approach for quantifying the energy landscape of the periodic oscillatory systems.
$π$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Foundation models have achieved great advances in multi-task learning with a unified interface of unimodal and multimodal tasks.
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
With the help of SFM and HSA, our network is able to generate multi-level feature and extract precise global spatial information with little computing resource.
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography
With the development of radiomics, noninvasive diagnosis like ultrasound (US) imaging plays a very important role in automatic liver fibrosis diagnosis (ALFD).
