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

Cheng, Ming-Ming., Editor.

He, Ran., Editor.

Ubul, Kurban., Editor.

Silamu, Wushouer., Editor.

Zha, Hongbin, Editor.

Zhou, Jie, Editor.

Liu, Cheng-Lin, Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15031

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, 569 p. 155 illus., 149 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:

Cluster center initialization for fuzzy K-modes clustering using outlier detection technique

Few-Shot Class-Incremental Learning via Cross-Modal Alignment with Feature Replay

Generalizing soft actor-critic algorithms to discrete action spaces

LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier

Exploring Out-of-distribution Scene Text Recognition for Driving Scenes with Hybrid Test-time Adaptation

PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval

Sequential Transfer of Pose and Texture for Pose Guided Person Image Generation

Balanced Clustering with Discretely Weighted Pseudo-Label

Tensor Robust Principal Component Analysis with Hankel Structure

Self-Distillation via Intra-class Compactness

An Enhanced Dual-Channel-Omni-Scale 1DCNN for Fault Diagnosis

Visual-Guided Reasoning Path Generation for Visual Question Answering

FedGC: Federated Learning on Non-IID Data via Learning from Good Clients

Inter-class Correlation-based Online Knowledge Distillation

Accelerating Domain Adaptation with Cascaded Adaptive Vision Transformer

Multistage Compression Optimization Strategies for Accelerating Diffusion Models

Defending Adversarial Patches via Joint Region Localizing and Inpainting

Multi-view Spectral Clustering Based on Topological Manifold Learning

Client selection mechanism for federated learning based on class imbalance

A New Paradigm for Enhancing Ensemble Learning through Parameter Diversification

Adaptive Multi-Information Feature Fusion MLP with Filter Enhancement for Sequential Recommendation

FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes

AtomTool: Empowering Large Language Models with Tool Utilization Skills

Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-biased Multi-task Learning

Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media

TRAE : Reversible Adversarial Example with Traceability

A Two-stage Active Domain Adaptation Framework for Vehicle Re-Identification

FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold

SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience against Poisoning Attacks in Internet of Vehicles

Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-trained Models

Learning Fully Parametric Subspace Clustering

A Comprehensive Exploration on Detecting Fake Images Generated by Stable Diffusion

Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning

SACTGAN-EE imbalanced data processing method for credit default prediction

FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering

Enhancing Time Series Classification with Explainable Time-frequency Features Representation

Adaptive Unified Framework with Global Anchor Graph for Large-scale Multi-view Clustering

SLRL: Structured Latent Representation Learning for Multi-view Clustering.

ISBN:

981-9784-87-5