Ulteriori informazioni
The three-volume set constitutes the proceedings of the 13th International Conference on Image and Graphics, ICIG 2025, held in Xuzhou, China, during October 31 November 2, 2025.
The 138 full papers presented in this book were carefully selected and reviewed from 420 submissions. These papers have been organized in the following topical sections: Artificial intelligence, Machine learning, Computer vision, pattern Recognition, Rendering, Image manipulation, Graphics systems and interfaces, Image compression, Shape modeling, Biometrics, Scene understanding, Vision for robotics, Scene anomaly detection, Activity recognition and understanding, Feature selection.
Sommario
.- Part 7 Computer Vision and Pattern Recognition:
.- Unsupervised image restoration using domain discriminator with feature disentangle.
.- Cross-domain Adaptation for Few-shot 3D Shape Generation.
.- SaliencyCLIP-SAM: Bridging Text and Image Towards Text-driven Salient Object Detection.
.- Efficient RGBT Tracking via Early Fusion and Hierarchical Knowledge Distillation.
.- Human Pose Estimation Method Based on Top-down View Fisheye Images.
.- On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation.
.- Multi-View Captioning with Semantic Delta Re-Ranking for Zero-Shot Composed Video Retrieval.
.- Feature Decoupling with Modality Modulation for Multimodal Sentiment Analysis.
.- A Two-stage Multimodal Remote Sensing Image Registration Network with Deformation-Refined Affine Transformation.
.- FFTA-Net A Frequency-Domain Fusion and Temporal Alignment Network for Transmission Line Defect Detection.
.- Hierarchical Transformer for Panoramic Image Inpainting with Comprehensive Attention Module.
.- Time-Frequency Domain-based No-reference Algorithm for Image Blurriness Evaluation.
.- Boosting Portrait Matting with Spatial-Frequency Harmony.
.- w+:Extending Classifier-Free Guidance in Diffusion Models for Real Image Inversion.
.- Self-Supervised Surface Defect Inspection Method via Alignment of Content and Style.
.- Improved UAV aerial vehicle detection algorithm based on YOLOv11n.
.- NSFM: Normalization-based Style Feature Elimination Method for Remote Sensing Scene Classification.
.- Hyperspectral Image Super-resolution via Degradation-aware Learning and Frequency-domain Feature Enhancement.
.- Nighttime Object Detection with Contextual Auxiliary Learning.
.- Learning Supplementary Information for First-Person Perception Referring Expression Compression.
.- MFMamba: Multiple Fusing Mamba Network for Hyperspectral Image Pansharpening.
.- Point Density Fusion for Multimodal 3D Object Detection.
.- Temporal Reordering for Video Person Re-Identification Based on Feature Reappearance Score.
.- Multimodal Consistency-Driven Deepfake Detection.
.- Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation.
.- Video Domain Incremental Learning for Human Action Recognition in Home Environments.
.- Wavelet-Based Distillation with Structured Frequency Alignment.
.- A Vessel Extraction Method Based on Bilinear Factor Matrix Norm RPCA and TSRG.
.- A Progressive Approach to Learn Global and Local Multi-View Features for 3D Visual Grounding.
.- HG-Ghost: A Lightweight and Accurate Pose Estimation Network for Biometric Recognition.
.- AMFlow: Efficient Optical Flow Estimation via Attentional Cost Volume and Matching Initialization.
.- Fighting Detection Based on Individual Keypoints Motion Trajectories and Motion Direction Ent
Riassunto
The three-volume set constitutes the proceedings of the 13th International Conference on Image and Graphics, ICIG 2025, held in Xuzhou, China, during October 31–November 2, 2025.
The 138 full papers presented in this book were carefully selected and reviewed from 420 submissions. These papers have been organized in the following topical sections: Artificial intelligence, Machine learning, Computer vision, pattern Recognition, Rendering, Image manipulation, Graphics systems and interfaces, Image compression, Shape modeling, Biometrics, Scene understanding, Vision for robotics, Scene anomaly detection, Activity recognition and understanding, Feature selection.
