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Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories with Random Cell Selector Failures
Resistive random-access memory is one of the most promising candidates f...
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CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Automated detection of curvilinear structures, e.g., blood vessels or ne...
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A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
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Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Gait-based person re-identification (Re-ID) is valuable for safety-criti...
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Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Anomaly detection in retinal image refers to the identification of abnor...
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Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Action recognition via 3D skeleton data is an emerging important topic i...
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Performance Limit and Coding Schemes for Resistive Random-Access Memory Channels
Resistive random-access memory (ReRAM) is a promising candidate for the ...
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Performance Limit and Code Design for Resistive Random-Access Memory Channels
Resistive random-access memory (ReRAM) is a promising candidate for the ...
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Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Deformation field estimation is an important and challenging issue in ma...
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Emotion Recognition From Gait Analyses: Current Research and Future Directions
Human gait refers to a daily motion that represents not only mobility, b...
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BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
Choroid is the vascular layer of the eye, which is directly related to t...
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Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
With the development of convolutional neural network, deep learning has ...
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Dense Dilated Network with Probability Regularized Walk for Vessel Detection
The detection of retinal vessel is of great importance in the diagnosis ...
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The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection
The optic disc segmentation is an important step for retinal image-based...
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SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Generative Adversarial Networks (GANs) have the capability of synthesizi...
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CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Medical image segmentation is an important step in medical image analysi...
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A construction of UD k-ary multi-user codes from (2^m(k-1)+1)-ary codes for MAAC
In this paper, we proposed a construction of a UD k-ary T-user coding sc...
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Towards Query Efficient Black-box Attacks: An Input-free Perspective
Recent studies have highlighted that deep neural networks (DNNs) are vul...
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Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang
Diabetic Retinopathy (DR) is a non-negligible eye disease among patients...
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Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis
Retinal fundus photographs have been used in the diagnosis of many ocula...
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Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Discriminative features are critical for machine learning applications. ...
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Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
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Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
The ever-growing popularity of Kinect and inertial sensors has prompted ...
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Multiview Hessian Discriminative Sparse Coding for Image Annotation
Sparse coding represents a signal sparsely by using an overcomplete dict...
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