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Found 17 papers, 2 papers with code
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook
Point cloud classification is the basis of point cloud analysis, and many deep learning-based methods have been widely used in this task.
$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
Cardiac magnetic resonance imaging (CMR) has been widely used in clinical practice for the medical diagnosis of cardiac diseases.
CartiMorph: a framework for automated knee articular cartilage morphometrics
We compared our FCL measurements with those from a previous study and found that our measurements deviated less from the ground truths.
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction
The image enhancement module learns a coil-combined image prior to suppress noise-like artifacts, while the k-space restoration module explores multi-coil k-space correlations to recover high-frequency details.
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition
Then, based on the idea of stacking ensemble, long short-term memory is employed as an error correction module to forecast the components separately, and the forecast results are treated as new features to be fed into extreme gradient boosting for the second-step forecasting.
A Tensor-BTD-based Modulation for Massive Unsourced Random Access
In this letter, we propose a novel tensor-based modulation scheme for massive unsourced random access.
Harmonic Retrieval with $L_1$-Tucker Tensor Decomposition
We also develop a novel subcarrier recovery method for the proposed model.
Learning Continuous Face Representation with Explicit Functions
First, we propose an explicit model (EmFace) for human face representation in the form of a finite sum of mathematical terms, where each term is an analytic function element.
Monolithic Integrated Multiband Acoustic Devices on Heterogeneous Substrate for Sub-6 GHz RF-FEMs
Monolithic integration of multiband (1. 4~ 6. 0 GHz) RF acoustic devices were successfully demonstrated within the same process flow by using the lithium niobate (LN) thin film on silicon carbide (LNOSiC) substrate.
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images
Accurate liver and lesion segmentation from computed tomography (CT) images are highly demanded in clinical practice for assisting the diagnosis and assessment of hepatic tumor disease.
Enhancement of Superconductivity Linked with Linear-in-Temperature/Field Resistivity in Ion-Gated FeSe Films
Iron selenide (FeSe) - the structurally simplest iron-based superconductor, has attracted tremendous interest in the past years.
Superconductivity
A Convergent Semi-Proximal Alternating Direction Method of Multipliers for Recovering Internet Traffics from Link Measurements
Our model can be divided into a series of subproblems, which only relate to the traffics in a certain individual time interval.
Optimization and Control
GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian
The GmNet is then designed using Gaussian functions as neurons, with parameters that correspond to each of the parameters of GmFace in order to transform the problem of GmFace parameter solving into a network optimization problem of GmNet.
A Local Descriptor with Physiological Characteristic for Finger Vein Recognition
In this work, we propose a finger vein-specific local feature descriptors based physiological characteristic of finger vein patterns, i. e., histogram of oriented physiological Gabor responses (HOPGR), for finger vein recognition.
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder
In fact, this objective term guides the encoder towards the "best encoder" of the decoder to enhance the expressiveness.
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018.
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
With the motivation of various convolutional neural network(CNN) structures succeeded in single image super-resolution(SISR) task, an end-to-end convolutional neural network is proposed to reconstruct the high resolution(HR) optical flow field from initial LR optical flow with the guidence of the first frame used in optical flow estimation.
