Biological and Medical Image Processing: An efficient medical image fusion via online convolutional sparse coding with sample-dependent dictionary
Multimodal Medical Image Fusion based on Multichannel Aggregated Network
Multi-Path Feature Fusion and Channel Feature Pyramid for Brain Tumor Segmentation in MRI
Near infrared video heart rate detection based on multi-region selection and robust principal component analysis- Neural video: A novel framework for interpreting the spatiotemporal activities of the human brain
Local Fusion Synthetic CT Network for Improving the Quality of CBCT in Cervical Cancer Radiotherapy
Causality-Inspired Source-Free Domain Adaptation for Medical Image Classification
Pixel-Correlation-Based Scar Screening in Hypertrophic Myocardium
Dictionary Matching Based 2D Thin Slice Generalized Slice-dithered Enhanced Resolution (gSlider) Variable Flip Angle T1 Mapping
Deep Low-rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis
Cross-domain Tongue Image Segmentation based on Deep Adversarial Networks and Entropy Minimization
Residual Inter-slice Feature Learning for 3D Organ Segmentation
Color and Multispectral Processing: A Cross-paired Wavelet Based Spatiotemporal Fusion Network for Remote Sensing Images
Coupled Dense Convolutional Neural Networks with Autoencoder For Unsupervised Hyperspectral Super Resolution
Computational Imaging: Multi-scale Non-Local Bidirectional Fusion for Video Super-Resolution
Multi-View and Stereoscopic Processing: Learning a Deep Fourier Channel Attention Generative Adversarial Network for Light Field Image Super-Resolution
Synthesizing a large scene with multiple NeRFs
Neural Implicit 3D Shapes from Single Images with Spatial Patterns
Multimedia Security: Dense Visible Watermark Removal with Progressive Feature Propagation
When Diffusion Model Meets with Adversarial Attack: Generating Transferable Adversarial Examples on Face Recognition
TPM: Two-stage prediction mechanism for universal adversarial patch defense
Surveillance and remote sensing: WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos
Multi-object Tracking in Remote Sensing Video Based on Motion and Multi-scale Local Cost Volume
Density Map Augmentation-based Point-to-point Vehicle Counting and Localization in Remote Sensing Imagery with Limited Resolution
Large Window Attention based Transformer Network for Change Detection of Remote Sensing Images
U-TEN:An Unsupervised Two-branch Enhancement Network for Object Detection under Complex-Light Condition
Virtual Reality: Design of virtual assembly guidance system based on mixed reality
Blind Omnidirectional Image Quality Assessment Based on Swin Transformer with Scanpath-Oriented
Audio-visual Saliency for Omnidirectional Videos.