Low-level Vision and Image Processing
SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification
Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining
Semantic-Driven Context Aggregation Network for Underwater Image Enhancement
A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection
Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area
3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement
Single Image Specular Highlight Removal on Natural Scenes
Document image binarization using visibility detection and point cloud segmentation
LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution
Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure
Scale-aware Distillation Network for Lightweight Image Super-Resolution
Deep Multi-Illumination Fusion for Low-Light Image Enhancement
Relational Attention with Textual Enhanced Transformer For Image Captioning
Non-local Network Routing for Perceptual Image Super-Resolution
Multi-Focus Image Fusion with Cooperative Image Multiscale Decomposition
An Enhanced Multi-Frequency Learned Image Compression Method
Noise Map Guided Inpainting Network for Low-Light Image Enhancement
FIE-GAN: Illumination Enhancement Network for Face Recognition
Illumination-Aware Image Quality Assessment for Enhanced Low-light Image
Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-resolution
Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion
ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network
Image Outpainting with Depth Assistance
Light-weight Multi-channel Aggregation Network for Image Super-resolution
Slow Video Detection Based on Spatial-temporal Feature Representation
Biomedical Image Processing and Analysis
The NL-SC Net for Skin Lesion Segmentation
Two-Stage COVID-19 Lung Segmentation from CT Images by Integrating Rib Outlining and Contour Refinement
Deep Semantic Edge for Cell Counting and Localization in Time-Lapse Microscopy Images
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks
Tiny-FASNet: A Tiny Face Anti-spoofing Method Based on Tiny Module
Attention-based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data
Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Feature
Interactive Attention Sampling Network for Clinical Skin Disease Image Classification
Cross-Model Attention Method for Medical Image Enhancement
Multi-modal Face Anti-Spoofing based on a Single Image
Non-Significant information Enhancement based Attention Network for Face Anti-Spoofing
Early Diagnosis of Alzheimer's Disease Using 3D Residual Attention Network Based on Hippocampal Multi-indices Feature Fusion
HPCReg-Net: Unsupervised U-Net Integrating Dilated Convolution and Residual Attention for Hippocampus Registration
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction
Model-based gait recognition using graph network with pose sequences
Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic
Deep-based Super-angular Resolution for Diffusion Imaging
A Multiple Scale Encoders Network for Stroke Lesion Segmentation
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
DPACN:Dual Prior-guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence
Face Anti-Spoofing Based on Cooperative Pose Analysis
A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment
Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID
Intracranial Hematoma Classification Based on the Pyramid Hierarchical Bilinear Pooling
Multi-Branch Multi-Task 3D-CNN for Alzheimer's Disease Detection.