Suchergebnisse - Multi-scale 3D convolutional sparse coding

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection von Nguyen-Duc, Thanh, Quan, Tran Minh, Jeong, Won-Ki

“… ] In this paper, we propose a novel image reconstruction algorithm using multi-scale 3D convolutional sparse coding and a spectral decomposition technique for highly undersampled dynamic Magnetic Resonance Imaging (MRI) data …”
Volltext

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization von Nguyen-Duc, Thanh, Jeong, Won-Ki

“… In this paper, we introduce a fast alternating method to reconstruct highly undersampled dynamic MRI data by using multi-scale 3D convolutional sparse coding …”
Volltext

An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding von Quan, Tran Minh, Choi, Junyoung, Jeong, Haejin, Jeong, Won-Ki

“… hierarchical multi-scale 3D convolutional sparse coding, a novel extension of the state-of-the-art learning-based sparse feature representation method …”
Volltext

Multi-scale 3D deep convolutional neural network for hyperspectral image classification von He, Mingyi, Li, Bo, Chen, Huahui

“… A Multiscale 3D deep convolutional neural network (M3D-DCNN) is proposed for HSI classification, which could jointly learn both 2D Multi-scale spatial feature and 1D …”
Volltext

Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features von Li, Xusheng, Wang, Chengliang, Wang, Shumao, Zeng, Zhuo, Liu, Ji

“… Extracting rich multi-scale features is crucial for point cloud-based 3D detectors in autonomous driving due to significant differences in the size of different types of objects …”
Volltext

Multi-Stream Dense View Reconstruction Network for Light Field Image Compression von Liu, Deyang, Huang, Yan, Fang, Yuming, Zuo, Yifan, An, Ping

“… During the reconstruction process, we firstly constitute a multi-disparity geometry (MDG) structure based on the decoded sparse LF views, which can reflect abundant disparity characteristics …”
Volltext

Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps von Eigen, David

“… To address our main objective, we develop a versatile Multi-Scale Convolutional Network that can be applied to diverse vision problems using simple adaptations, and apply it to predict …”
Volltext