Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XV / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu.

Format:

Book

Contributor:

Lin, Zhouchen, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15045

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence.

Application software.

Computer networks.

Computer systems.

Machine learning.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Communication Networks.

Computer System Implementation.

Machine Learning.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Communication Networks.

Computer System Implementation.

Machine Learning.

Physical Description:

1 online resource (XIV, 583 p. 192 illus., 185 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.

Contents:

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-Gait：Application 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.

Notes:

Includes bibliographical references and index.

ISBN:

9789819784998

9819784999