Advanced Intelligent Computing Technology and Applications

.- Intelligent Computing in Computer Vision.
.- LAC-YOLO: Advancing Metal Surface Defect Detection with Latent Representation and Re-parameterized Feature Fusion.
.- YOLO-Xray: Massively Enhanced X-ray Detection with a Specialized YOLO Framework.
.- Classroom Teacher Action Recognition Based on Teacher Region Extraction and Temporal Pyramid Module.
.- RetinexWaveMamba: Retinex and Wavelet-based Lightweight Framework for Low-Light Image Enhancement with Mamba.
.- DOLF-SLAM: A Visual-Inertial SLAM for Dynamic Environments with Scene Flow-Based Object Filtering and Line Feature.
.- ClothAnimate: Boosting Video Virtual Try-on via Novel Attention-control Diffusion Model.
.- Echoes of the Past: No-Reference Evaluation in Digital Restoration of Ancient Murals.
.- PMNet: 3D Model based on Position Self-Supervision and Multiway Attention for Pulmonary Nodule Classification.
.- DenseViT: Densely Connected Vision Transformers for Visual Recognition.
.- GVTNet: Graph Vision Transformer for Face Super-Resolution.
.- ADHI-YOLO: Attentive SPPF with Dynamic Head Integration for Object Detection in Low-Light Environments.
.- DBNet-Enhanced Detection of Handwritten Mathematical Formulas.
.- SC-D3D: A Dual Collaborative Distillation Framework for High-Fidelity Text-to-3D Generation.
.- Cross-Modal Hybrid Loss with Enhanced Feature Feedback for RGB-T Crowd Counting.
.- WT-YOLO: A High-Accuracy Model for Wind Turbine Target Detection.
.- Ada-CAD: Adaptive distillation and Dynamic neighbor masked Attention for Continual Anomaly Detection.
.- DSNC-Match: Semi-supervised Semantic Segmentation Based on Multi-information Mining.
.- Bidirectional Feature Fusion U-Net for Infrared Small Target Detection.
.- Physics-Data Synergy in Endoscopic Imaging: A Retinex-Based Dynamic Illumination Modulation Framework for Robust Monocular Depth Estimation.
.- EIL-YOLO: A Lightweight Model for Enhanced Small Object Detection in UAV Images.
.- EduFocus-YOLO: Dynamic Multi-Scale Fusion Pyramid for Classroom Behavior Detection.
.- SADAN: A Domain Adaptive SAR Object Detection Network Based on Scale Aware Alignment.
.- NeuroSync: A Dual-Path Dynamically Modulated Framework with Spatiotemporal Compression for Human Action Recognition.
.- TG-STC: Text Guided Spatio-Temporal Contextualization for Video Quality Assessment.
.- Embodied Intelligence-Driven Framework for UAV Power Inspection Systems: Federated Reinforcement Learning for Multi-Agent Collaborative Optimization.
.- RSMA-Net: ResNet-Swin Residual Cooperative Encoding and Multi-Scale Attentional Reconstruction Network for Cardiac Boundary Segmentation.
.- HTPAN: A lightweight hybrid topk-pooling attention network for efficient plant disease detection.
.- Dual-Gradient Dynamic Splatting: Density Control with Dual-gradient for 3D Gaussian Splatting in Monocular Dynamic Scene.
.- Multi-level global-local context aggregation for video semantic segmentation.
.- FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization.
.- SnowTextNet: Detection-Guided Restoration Dual-Branch Network for Text Detection in Snowy Scenes.
.- Joint Frame and Event Object Tracking via Non-Causal State Space Duality.
.- Enhancing YOLOv8 for Multi-Class Tongue Coating Detection: An Analysis of Attention and Multi-Scale Fusion Mechanisms.
.- A Generative Face Detection Method Based on Local Artifact Metrics and Gradient-Enhanced Attention Mechanism.
.- High-Low Frequency Feature Alignment for Few-Shot Object Detection.
.- RDMAUNet: A Residual Deformable Convolution and Multi-Attention Model for Coronary Artery Segmentation.
.- Semantic Evolution and Boundary Samples Suppression for Generalized Zero-Shot Learning.
.- EMSA: An Ensemble-Based Framework for Multimodal Sentiment Analysis.
.- Research on Urban Road Obstacle Detection Method Based on ERLM-YOLOv8.
.- QACC-Net: Lightweight Clothing Keypoint Detection with Quantized Self-Attention and Learnable Coordinate Classification.
.- SATENet: Bridging Structural and Edge Semantics for Vessel Segmentation.
.- Topology-Aware Transformer for Efficient Human Mesh Recovery with Low-Dim Mesh Attention.
.- EDER-ACNN: CNN-Based Facial Expression Recognition with Morphological EDER Preprocessing.
.- TP-SAM: Fine-tuning SAM with Task-specific Prompt in the Loop.