Pattern Recognition and Computer Vision: 6th Chinese Conference, Prcv 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V

ISBN-13: 9789819984688 / Angielski

Qingshan Liu; Hanzi Wang; Zhanyu Ma

Spis treści

Spoof-guided Image Decomposition for Face Anti-spoofing.- TransFCN: A Novel One-Stage High-Resolution Fingerprint Representation Method.- A Video Face Recognition Leveraging Temporal Information based on Vision Transformer.- Where to Focus: Central Attention-based Face Forgery Detection.- Minimum Assumption Reconstruction Attacks: Rise of Security and Privacy Threats against Face Recognition.- Emotion Recognition via 3D Skeleton based Gait Analysis using Multi-thread Attention Graph Convolutional Networks.- Cross-area Finger Vein Recognition via Hierarchical Sparse Representation.- Non-Local Temporal Modeling for Practical Skeleton-based Gait Recognition.- PalmKeyNet: Palm Template Protection Based on Multi-modal Shared Key

Full Quaternion Matrix-based Multiscale Principal Component Analysis Network for Facial Expression Recognition.- Joint Relation Modeling and Feature Learning for Class-Incremental Facial Expression Recognition.- RepGCN: A Novel Graph Convolution-Based Model for Gait Recognition with Accompanying Behaviors.- KDFAS: Multi-Stage Knowledge Distillation Vision Transformer for Face Anti-Spoofing.- Long Short-Term Perception Network for Dynamic Facial Expression Recognition.- Pyr-HGCN: Pyramid Hybrid Graph Convolutional Network for Gait Emotion Recognition.- A Dual-Path Approach for Gaze Following in Fisheye Meeting Scenes.- Mobile-LRPose: Low-Resolution Representation Learning for Human Pose Estimation in mobile devices Attention and Relative Distance Alignment for Low-Resolution Facial Expression Recognition.- Exploring Frequency Attention Learning and Contrastive Learning for Face Forgery Detection.- An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-Head Attention Mechanism.- AU-oriented Expression Decomposition Learning for Facial Expression Recognition.- Accurate Facial Landmark Detector via Multi-scale Transformer.- ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition.- Deep Face Recognition with cosine boundary softmax loss.- A Mix Fusion Spatial-Temporal Network for Facial Expression Recognition.- CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation.- DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.- MS UX-Net: A Multi-scale Depth-wise Convolution Network for Medical Image Segmentation.- AnoCSR–A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection.- Brain tumor image segmentation based on global-local dual-branch feature fusion.- PRFNet: Progressive Region Focusing Network for Polyp Segmentation.- Pyramid Shape-aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images.- AgileNet: A Rapid and Efficient Breast Lesion Segmentation Method for Medical Image Analysis.- CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.- Edge-Prior Contrastive Transformer for Optic Cup and Optic Disc Segmentation.- BGBF-Net: Boundary-Guided Buffer Feedback Network for Liver Tumor Segmentation.- MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation.- Self-Supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery.- Pseudo-label Clustering-driven Dual-level Contrast Learning based Source-free Domain Adaptation for Fundus Image Segmentation.- Patch Shuffle and Pixel Contrast: Dual Consistency Learning for Semi-supervised Lung Tumor Segmentation.- Multi-Source Information Fusion for Depression Detection