Pattern Recognition and Computer Vision
Description
This two-volume set LNCS 16174-16175 constitutes the refereed proceedings of the 8th Asian Conference on Pattern Recognition, ACPR 2025, held in Gold Coast, QLD, Australia, in November 10-13, 2025.
The 60 full papers presented were carefully reviewed and selected from 118 submissions. The ACPR 2025 Conference focuses on four important areas of pattern recognition: pattern recognition and machine learning; computer vision and robot vision; signal, speech and video processing; and document, media processing and interaction, covering various technical aspects.
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Content
.- Origami Crease Recognition for Automatic Folding Diagrams Generation.
.- Lip Shape-aware Word Selection for Lyric Translation.
.- Monocular Gait Video-Based Estimation of Musculoskeletal Disorders Using 3D Skeletal Models.
.- Noisy Labeled Data Classification via Adaptive Model Integration.
.- Mobile Food Calorie Estimation Using Smartphone LiDAR Sensor.
.- Gaze-Based Estimation of Activity Levels in Cooperative Learning Using Camera Images.
.- HOTA: Hierarchical Overlap-Tiling Aggregation for Large-Area 3D Flood Mapping.
.- Quantum Convolutional Neural Network for Image Retrieval.
.- Non-Correlative Feature Interaction for Classification of Real and Fake Scene Images.
.- Selective Freezing of Feature Hierarchies in Deep Models for Machine Unlearning.
.- Deep Learning-Based Restoration of Voice-Converted Audio for Speech and Speaker Recognition.
.- Bringing CLIP to the Edge: A Lightweight Fire Detection System for Real-Time Monitoring with UAV.
.- Estimation of Health-Related Quality of Life from Spinal X-ray Images in Patients with Adult Spinal Deformity.
.- Rime Optimization Algorithm with Kapur's Entropy for Multilevel Segmentation of Retinal Images.
.- A Needle in a Haystack: Finding Contextual Knowledge for Video Question Answering.
.- DDU-Net: A Dempster-Shafer theory-aided Diffusion-based U-Net Model for Microscopic Medical Image Segmentation.
.- Image Recognition Framework via Adaptive Class Descriptions with Vision-Language Models.
.- ReFACTNet: A Recurrent Fast Adaptive Continual Net for Non-Exemplar Online Learning.
.- Towards Farmers' Decision Support: Explainable-by-Design Modeling for Calving Sign Detection in Cattle.
.- Frequency-Guided Adaptive Gradient Attack for Transferable Adversarial Examples.
.- Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers.
.- Approximating Graph Edit Distance via Differentiable Birkhoff Decompositions.
.- Class-wise Flooding Regularization for Imbalanced Image Classification.
.- Learning Smooth and Coordinated Quadruped Motions via Incremental Foot Position Control.
.- Learning Latent Prior for Rapid Adaptation of Legged Robots to Unexpected Amputation.
.- FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach.
.- Training-Free Multi-Style Fusion Through Reference-Based Adaptive Modulation.
.- Wavelet Transfer Network for Image Style Transfer with Applications in Museum Cultural Creative Design.
.- SuperCap: Multi-resolution Superpixel-based Image Captioning.
.- ReCap: Rectified and Comprehensive Video Captioning via Object-Grounded Frame Summarization.