Search Results - Multi-scale 3D convolutional sparse coding

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection by 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…”
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Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization by 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…”
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An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding by 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…”
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Multi-scale 3D deep convolutional neural network for hyperspectral image classification by 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…”
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Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features by 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…”
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Multi-Stream Dense View Reconstruction Network for Light Field Image Compression by 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…”
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Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps by 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…”
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