ICASSP-2024-Papers Application Previous Collections Deep Learning for Image and Video Processing Title Repo Paper Video CLIP-Font: Sementic Self-Supervised Few-Shot Font Generation with Clip ➖ ➖ Gradient and Brightness Guided Low-Light Enhancement with Attention-based Self-Paced Learning ➖ Implicit Neural Representation for Low-Overhead Graph-based Holographic-Type Communications ➖ ➖ Low-Light Raw Image Enhancement on a Dataset Suffering Light Effects ➖ ➖ DONE: Dynamic Neural Representation via Hyperplane Neural ODE ➖ ➖ A 3D Virtual Try-On Method with Global-Local Alignment and Diffusion Model ➖ Lightweight High-Resolution Subject Matting in the Real World ➖ ➖ Building Lane-Level Maps from Aerial Images ➖ HENet: Hyperbolic-based Encoder-Decoder Network for Word Spotting in Historical Mongolian Documents ➖ ➖ Complementary Fusion Network based on Frequency Hybrid Attention for Pansharpening ➖ ➖ RGB Images Enhancing Hyperspectral Image Denoising with Diffusion Model ➖ Generalizable Two-Branch Framework for Image Class-Incremental Learning ➖ ➖ Multiscale Attention Distillation for Object Detection ➖ ➖ MAS-NET: Mixed-Feature Attention Siamese Network for Change Detection on Remote Sensing Images ➖ ➖ Corner Detection based on a Rotation-Invariant and Noise-Insensitive Curvature Measurement ➖ ➖ Multi-Object Tracking for Unmanned Aerial Vehicles based on Multi-Frame Feature Fusion ➖ ➖ Gradually Spatio-Temporal Feature Activation for Target Tracking ➖ ➖ Deep Residual W-Unit Learning with Semantic Embedding for Automatic Pulmonary CT Artery-Vein Separation ➖ ➖ Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-Id with Feature Distribution Alignment ➖ Local Optimization Networks for Multi-View Multi-Person Human Posture Estimation ➖ ➖ Facial Aesthetic Enhancement Network for Asian Faces based on Differential Facial Aesthetic Activations ➖ ➖ AttentionLUT: Attention Fusion-based Canonical Polyadic LUT for Real-Time Image Enhancement ➖ ➖ Semantic-Guided Network with Contrastive Learning for Video Caption ➖ ➖