Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part II / 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 ; 15032

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 (519 pages)

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:

Auto-USOD: Searching Topology for Underwater Salient Object Detection

MBA-NER: Multi-Granularity Entity Boundary-Aware Contrastive Enhanced for Two-stage Few-Shot Named Entity Recognition

Meta-Learning Based Knowledge Distillation for Domain Adaptive Nighttime Segmentation

Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts

Towards Adversarial-Robust Class-Incremental Learning via Progressively Volume-up Perturbation Generation

Neighborhood Difference-Enhanced Graph Neural Network based on Hypergraph for Social Bot Detection

SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations

An Entropy-based Pseudo-Label Mixup Method for Source-Free Domain Adaptation

DAMS: Document Image Steganography with Dual Attention Multi-Scale Encoder-Decoder Architecture

Dual-Task Cascaded for Proactive Deepfake Detection Using QPCET watermarking

XrGroup: Graph Convolutional Networks for Group-Aware Pedestrian Trajectory Prediction with Speed information

Generative Steganography Based on Dual-Branch Flow

Invisible Backdoor Attack Through Singular Value Decomposition

Self-supervised transformer-based pre-training method with General Plant Infection dataset

Spatio-Temporal Perceiving Network Based Vision Transformer for 6-Hour Precipitation Prediction Using Multi-Meteorological Factors

Learning Local Spatial and Global Context Activation for Visual Recognition

A Novel Method for Autism Identification based on Multi-Atlas Features Fusion and Graph Neural Network

CRFNet: A medical image segmentation method using the cross attention mechanism and refined feature fusion strategy

SCC-CAM: Weakly Supervised Segmentation on Brain Tumor MRI with Similarity Constraint and Causality

Global Structural Consistency Set Transformer

IMO-Net: Integrated Memory Optimization Network for Video Instance Lane Detection

Lightweight Facial Expression Recognition Based on Hybrid Multiscale and Multi-Head Collaborative Attention

Single model learns multiple styles of Chinese calligraphy via Style Collection Mechanism

FusionNet for Interactive Image Segmentation

Dynamic Spatial-Temporal Perception Graph Convolutional Networks for Traffic Flow Forecasting

Foreign object classification for coal conveyor belts based on deep learning

Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization

Interpretable Unsupervised Homography Estimation

DRC-NET: Density Reweighted Convolution Network for Edge Curve Extraction

Unsupervised Underwater Image Enhancement Combining Imaging Restoration and Prompt Learning

Generatice Adversarial Imitation Learning Algorithm based on Improved Curiosity Module

Zero-shot Blind Face Restoration via Conditional Diffusion Sampling

Task-aware Few-shot Image Generation via Dynamic Local Distribution Estimation and Sampling

Adversarial Training and Contrastive Learning with Bidirectional Transformers for Sequence Recommendation

Empathizing Before Generation: A Double-layered Framework for Emotional Support LLM.

Notes:

Includes bibliographical references and index.

ISBN:

9789819784905

9819784905