PRICAI 2024 : trends in artificial intelligence : 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings. Part III / Rafik Hadfi, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai, editors.

Large Language Models. -- MLRQA: A Dataset with Multimodal Logical Reasoning Challenges. -- Fame Bias : Large Language Models Change Their Judgement Depending on Personal Name. -- Distributed Population-based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models. -- Transformer-Mamba-based Trident-Branch RGB-T Tracker. -- MMAT: Multi-scale Multi-Attention Transformer for Fine-grained Wild Fungi Visual Classification. -- Enhancing Parameter-Efficient Transformers with Contrastive Syntax and Regularized -- Dropout for Neural Machine Translation. -- Computer Vision. -- DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges. -- GMMotion: Neighborhood Information Matters for Online Multi-Pedestrian Tracking. -- Predicting Plain Text Imageability for Faithful Prompt-Conditional Image Generation. -- BFNet: A Bi-Frequency Fusion Semantic Segmentation Network for High-Resolution Remote Sensing Images. -- An improved model of detecting ground military targets from horizontal view. -- A Copy-Paste Data Augmentation Method For Urban Tree Detection. -- A Novel Geometric-Encoded and Feature-Fused Model for Pressure Distribution Prediction on Airfoils. -- Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. -- Integrating Vision-Tool to Enhance Visual-Question-Answering in Special Domains. -- AGLTN: Attention-Based Global-Local Transformer Network for Ultra-High Resolution Images. -- GAMF-Net: A Lightweight Network for Semantic Segmentation of Land Cover Recognition in Open-Pit Coal Mining Areas. -- Action Recognition Based on Multi-Perspective Feature Excitation. -- HQPAFT: Enhancing Low-Light Images with High-Quality Priors and Advanced Feature Transformations Using Only Normal Light Images. -- A Reversible Data Hiding in Encryption Domain for JPEG Image Based on Controllable Ciphertext Range of Paillier Homomorphic Encryption Algorithm. -- BEVTemp: Enhancing Vision-based Roadside 3D Object Detection with Temporal Information. -- CPNet: Controllable Point Cloud Generation Network Using Part-Level Information. -- AffViT: Fast Affine Medical Image Registration with Convolutional Vision Transformer. -- An Instance and Cloud Masks Guided Multi-source Fusion Network for Remote Sensing Object Detection. -- Image Gradient-Aided Photometric Stereo Network. -- Enhancing Object Detection Accuracy with Hybrid Supervision and Trans-stage Interaction. -- Adaptive Threshold-Driven Semi-Supervised Facial Expression Recognition. -- 3D-HRFC: 3D-Aware Image Generation at High Resolution with Faster Convergence. -- AF-SSD:Self-Attention Fusion Sampling and Fuzzy Classification for Enhanced Small Object Detection. -- A Facial Expression Recognition Model Based on a Hybrid Attention Mechanism with . Multiple Information Spaces and Channels. -- A Meta-Learning Method for Generalizable Face Forgery Detection. -- Data-Free Quantization of Vision Transformers through Perturbation Aware Image Synthesis. -- HMM-VMamba: High-order Morphological Method Vision Mamba for Medical Image Segmentation. -- Evaluating Subtle Positive-Negative Facial Expression Transitions for Monitoring Changes in Personal Internal States. -- Image Generation Method for Addressing Class Imbalance in Small-Sample Pulsar Candidates. -- Efficient Matrix-Based Multi-View Projection Features Combined for Multi-Modal 3D Semantic Segmentation. -- Enhancing Multimodal Rumor Detection with Statistical Image Features and Modal Alignment via Contrastive Learning. -- Audio-Driven Face Photo-Sketch Video Generation. -- A Decoupling Video Frame Selection Method for Action Recognition.

The five-volume proceedings set LNAI 15281-15285, constitutes the refereed proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, held in Kyoto, Japan, in November 18-24, 2024. The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions. The papers are organized in the following topical sections: Part I: Machine Learning, Deep Learning Part II: Deep Learning, Federated Learning, Generative AI, Natural Language Processing, Large Language Models, Part III: Large Language Models, Computer Vision Part IV: Computer Vision, Autonomous Driving, Agents and Multiagent Systems, Knowledge Graphs, Speech Processing, Optimization Part V: Optimization, General Applications, Medical Applications, Theoretical Foundations of AI.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 21, 2024).