
PRICAI 2024: Trends in Artificial Intelligence
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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
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Content
.- 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.
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