Image and Graphics

classification based on improved candidate regions.- Joint Face Detection and Landmark Localization Based on an Extremely Lightweight Network.- Extremely Tiny Face Detector for Platforms with Limited Resources.- Multi-pose Facial Expression Recognition based on Unpaired Images.- Keypoint Context Aggregation For Human Pose Estimation.- Clothes-Independent Identity Feature Learning for Long-Term Person Re-identification.- Lightweight Non-local High-resolution Networks for Human Pose Estimation.- Occluded Animal Shape and Pose Estimation from a Single Color Image.- Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation.- Multi-view Gait Recognition By Inception-Encoder And CL-GEI.- Facial Action Unit Detection Based on Transformer and Attention Mechanism.- Unsupervised Detailed Human Shape Estimation from Multi-view Color Images.- Device-Adaptive 2D Gaze Estimation: a Multi-Point Differential Framework.- Dual Gated Learning for Visible-Infrared Person Re-Identification.- Biological and Medical Image Processing.-Dual Attention Guided R2 U-Net Architecture for Right Ventricle Segmentation in MRI Images.- Global Characteristic Guided Landmark Detection for Genu Valgus and Varus Diagnosis.- Data-Dependence Dual Path Network for Choroidal Neovascularization Segmentation in SD-OCT images.- A Novel Feature Fusion Network for Myocardial Infarction Screening Based on ECG Images.- Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning.- Cross-Domain Transfer Learning for Vessel Segmentation in Computed Tomographic Coronary Angiographic Images.- Frequency-based convolutional neural network for efficient segmentation of histopathology whole slide images.- MR Image Denoising by FGMM Clustering of Image Patches.- 3D-Resnet Fused Attention For Autism Spectrum Disorder Classification.- CEID: Benchmark Dataset for Designing Segmentation Algorithms of Instruments Used in Colorectal Endoscopy.- CD Loss: A Class-Center based Distribution Loss for Discriminative Feature Learning in Medical Image Classification.- Pruning the Seg-Edge Bilateral Constraint Fully Convolutional Network for Iris Segmentation.- CAB-Net: Channel Attention Block Network for Pathological image cell nucleus segmentation.- Region Context Aggregation Network for Multi-organ Segmentation on Abdominal CT.- A Reversible Digital Watermarking Algorithm based on Medical Images via Threshold Segmentation and Contrast Enhancement.- EMISTA-based Quantitative PET Reconstruction.- Bootstrap Knowledge Distillation for Chest X-ray Image Classification with Noisy Labelling.- Multi-modal Fusion With Dense Connection For Acute Bilirubin Encephalopathy Classification.- 3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification.-Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis using Diffusion Tensor Imaging.- Individual-specific Connectome Fingerprint Based Classificationof Temporal Lobe Epilepsy.- Multi-atlas segmentation combining multi-task local label learning and semi-supervised label propagation.- HPCSeg-Net: Hippocampus Segmentation Network Integrating Autofocus Attention Mechanism and Feature Recombination and Recalibration Module.- Uncertainty-based Visual Guidance for Interactive Medical Volume Segmentation Editing.- Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection.- Corona Virus Disease (COVID-19) Detection in CT Images Using Synergic Deep Learning.- Eye movement event detection based on path signature.