Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 1820, 2024, Proceedings, Part XV 2024 ed. [Pehme köide]

Anchored Supervised Contrastive Learning for Long-Tailed Medical Image
Regression.- Dynamic Feature Fusion Based on Consistency and Complementarity
of Brain Atlases.- FUF-TransUNet: a transformer-based U-Net with fully
utilize of features for liver and liver-tumor segmentation in CT images.-
Dual-View Dual-Boundary Dual U-Nets for Multiscale Segmentation of Oral CBCT
ImagesA Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup
Segmentation in Fundus Images.- STCTb: A Spatio-Temporal Collaborative
Transformer Block for Brain Diseases Classification using fMRI Time Series.A
Generalized Contrast-adjustment Guided Growth Method for Medical Image
Segmentation.- MDNet: Morphology-Driven Weakly Supervised Polyp
DetectionMMR-Sleep: A Multi-Channel and  Multi-Receptive Field Sleep Stage
recognition  Model.- CPNet: Cross Prototype Network for Few-shot Medical
Image Segmentation.- SBC-UNet: A Network Based on Improved Hourglass
Attention Mechanism and U-Net for Medical Image Segmentation.- Bridge the gap
of semantic context: A Boundary-guided Context Fusion UNet for Medical Image
Segmentation.- Bilinear Fine-grained Classification of Ultrasound Images
Integrated with Interpretable Radiomics.- GCNet: Global context-guided
uncertainty boundary for polyp segmentation.- Comprehensive Transformer
Integration Network (CTIN): Advancing Endoscopic Disease Segmentation with
Hybrid Transformer Architecture.- IPM: An Intelligent Component for 3D Brain
Tumor Segmentation Integrating Semantic Extractor and Pixel RefinerEdge-Net:
A Self-supervised Medical Image Segmentation Model Based on Edge Attention.-
Fundus image disease diagnosis and quality assessment based on dual-task
collaborative optimization.- Multi-modality Correlation Learning Network for
Pediatric Ventricular Septal Defects Identification.- MFIS-net: A Deep
Learning Framework for Left Atrial Segmentation.- Semi-Supervised Gland
Segmentation via Label Purification and Reliable Pixel Learning.- DFANet: A
Dual-stream Deep Feature Aware Network for Multi-focus Image
FusionMST-GaitApplication of Multi-Scale Temporal Modeling to Gait
Recognition.- Identity-Preserving Animal Image Generation for Animal
Individual Identification.- FIL-FLD: Few-shot Incremental Learning with EMD
Metric for High Generalization Fingerprint Liveness DetectionText Based
Unsupervised Domain Generalization Person Re-identificationSF-Gait: Two-Stage
Temporal Compression Network for Learning Gait Micro-Motions and Cycle
Patterns.- Coarse-to-Fine Domain Adaptation for Cross-subject EEG Emotion
Recognition with Contrastive Learning.- Face Anti-spoofing based on
Multi-view Anomaly Detection. -Online Signature Verification Based on
Recurrent Attentional Time-Delay Neural Networks.- Multimodal finger
recognition based on feature fusion  attention for fingerprints,
finger-veins, and  f  inger-knuckle-prints. -Hierarchical Discrepancy-aware
Interaction Network for Face Forgery DetectionAU-vMAE: Knowledge-Guide Action
Units Detection via Video Masked AutoencoderTransformer-based Multimodal
Spatial-Temporal Fusion for Gait Recognition.- Multi-level Distributional
Discrepancy Enhancement for Cross Domain Face Forgery Detection.-
Unsupervised person Re-ID based on nonlinear asymmetric metric learning.-
FR-watermarking: A Fusion Framework for Face-Based Digital Watermarking.-
Enhancing Semi-Dense Feature Matching through Probabilistic Modeling of
Cascaded Supervision and Consistency.- Concentrating Estimation Attention:
Human Prior Constrained Methods for Robust Classification.