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PRICAI 2022: Trends in Artificial Intelligence : 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part III / edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Author/Creator:
Khanna, Sankalp, author.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 13631
Language:
English
Subjects (All):
Artificial intelligence.
Computers.
Computer engineering.
Computer networks.
Application software.
Image processing--Digital techniques.
Image processing.
Computer vision.
Artificial Intelligence.
Computing Milieux.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Local Subjects:
Artificial Intelligence.
Computing Milieux.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Physical Description:
1 online resource (667 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
Summary:
This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022. The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
Contents:
Recommender System
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation
MF-TagRec: Multi-feature fused tag recommendation for GitHub
Co-contrastive Learning for Multi-behavior Recommendation
Pattern Matching and Information-aware between Reviews and Ratings for Recommendation
Cross-view Contrastive Learning for Knowledge-aware Session-based Recommendation
Reinforcement Learning
HiSA: Facilitating Efficient Multi-Agent Coordination and Cooperation by Hierarchical Policy with Shared Attention
DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning
PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control
Identifying Multiple Influential Nodes for Complex Networks based on Multi-Agent Deep Reinforcement Learning
Online Learning in Iterated Prisoner’s Dilemma to Mimic Human Behavior
Optimizing Exploration-Exploitation Trade-off in Continuous Action Spaces via Q-ensemble
Hidden Information General Game Playing With Deep Learning and Search
Sequential Decision Making with “Sequential Information” in Deep Reinforcement Learning
Two-Stream Communication-Efficient Federated Pruning Network
Strong General AI
Multi-scale Lightweight Neural Network for Real-time Object Detection
Hyperspectral Image Classification Based On Transformer and Generative Adversarial Network
Deliberation Selector for Knowledge-grounded Conversation Generation
Training a Lightweight ViT Network for Image Retrieval
Vision and Perception
Segmented–original Image Pairs to Facilitate Feature Extraction in Deep Learning Models
FusionSeg: Motion Segmentation by Jointly Exploiting Frames and Events
Weakly-supervised Temporal Action Localization with Multi-head Cross-modal Attention
CrGAN: Continuous Rendering of Image Style
DPCN: Dual Path Convolutional Network for Single Image Deraining
All Up to You: Controllable Video Captioning With a Masked Scene Graph
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
Learning Spatial Fusion and Matching for Visual Object Tracking
Lightweight Wavelet-based Transformer for Image Super-resolution
Efficient high-resolution human pose estimation
The Geometry Enhanced Deep Implicit Function based 3D Reconstruction for objects in a real-scene image
Multi-View Stereo Network with Attention Thin Volume
3D Point Cloud Segmentation Leveraging Global 2D-view Features
Self-Supervised Indoor 360-Degree Depth Estimation via Structural Regularization
Global Boundary Refinement for Semantic Segmentation via Optimal Transport
Optimization-based Predictive Approach for On-Demand Transportation
JointContrast: Skeleton-based Mutual Action Recognition with Contrastive Learning
Nested Multi-Axis Learning Network for Single Image Super Resolution
Efficient Scale Divide and Conquer Network for Object Detection
Video-Based Emotion Recognition in the Wild for Online Education Systems
Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network
Self-Supervised Vision Transformer based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation
Lightweight image dehazing neural network model based on estimating medium transmission map by intensity
CMNet: Cross-aggregation Multi-branch Network for Salient Object Detection
More than Accuracy: an Empirical Study of Consistency between Performance and Interpretability
Object-scale Adaptive Optical Flow Estimation Network
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Rotating Target Detection Based On Lightweight Network
Corner Detection Based on a Dynamic Measure of Cornerity.
Other Format:
Print version: Khanna, Sankalp PRICAI 2022: Trends in Artificial Intelligence
ISBN:
9783031208683
3031208684

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