Artificial Intelligence : Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part III / edited by Lu Fang, Daniel Povey, Guangtao Zhai, Tao Mei, Ruiping Wang.

Format:

Book

Contributor:

Fang, Lu, Editor.

Povey, Daniel., Editor.

Zhai, Guangtao, Editor.

Mei, Tao., Editor.

Wang, Ruiping, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13606

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13606

Language:

English

Subjects (All):

Artificial intelligence.

Computer vision.

Computer engineering.

Computer networks.

Application software.

User interfaces (Computer systems).

Human-computer interaction.

Signal processing.

Artificial Intelligence.

Computer Vision.

Computer Engineering and Networks.

Computer and Information Systems Applications.

User Interfaces and Human Computer Interaction.

Signal, Speech and Image Processing .

Local Subjects:

Artificial Intelligence.

Computer Vision.

Computer Engineering and Networks.

Computer and Information Systems Applications.

User Interfaces and Human Computer Interaction.

Signal, Speech and Image Processing .

Physical Description:

1 online resource (XX, 633 pages) : 230 illustrations, 170 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

This three-volume set LNCS 13604-13606 constitutes revised selected papers presented at the Second CAAI International Conference on Artificial Intelligence, held in Beijing, China, in August 2022. CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 164 papers were thoroughly reviewed and selected from 521 submissions. CICAI aims to establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others.

Contents:

Cross-Camera Deep Colorization

Attentive Cascaded Pyramid Network for Online Video Stabilization

Amodal Layout Completion in Complex Outdoor Scenes

Exploring Hierarchical Prototypes for Few-Shot Segmentation

BSAM: Bidirectional Scene-Aware Mixup for Unsupervised Domain Adaptation in Semantic Segmentation

Triple GNN: A Pedestrian-Scene-Object Joint Model for Pedestrian Trajectory Prediction

Cross-Domain Trajectory Prediction With CTP-Net

Spatial-Aware GAN for Instance-Guided Cross-Spectral Face Hallucination

Lightweight Image Compression Based on Deep Learning

DGMLP: Deformable Gating MLP Sharing for Multi-Task Learning

Monocular 3D Face Reconstruction with Joint 2D and 3D Constraints

Scene Text Recognition with Single-Point Decoding Network

Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency

Research on Multi-Temporal Cloud Removal using D-S Evidence Theory and Cloud Segmentation Model

SASD: A Shape-Aware Saliency Object Detection Approach for RGB-D Images

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window

CDNeRF: A Multi-Modal Feature Guided Neural Radiance Fields

MHPro: Multi-Hypothesis Probabilistic Modeling for Human Mesh Recovery

Image Sampling for Machine Vision

SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning

H-ViT: Hybrid Vision Transformer for Multi-Modal Vehicle Re-Identification

A Coarse-to-Fine Convolutional Neural Network for Light Field Angular Super-Resolution

VSA: Adaptive Visual and Semantic Guided Attention on Few-Shot Learning

Evolutionary Multitasking for Coarse-to-Fine Point Cloud Registration with Chaotic Opposition Search Strategy

Matching and Localizing: A Simple Yet Effective Framework for Human-Centric Spatio-Temporal Video Grounding

Part-Wise Topology Graph Convolutional Network for Skeleton-Based Action Recognition

A Lightweight Detection Method of Smartphone Assembly Parts

Illumination-Guided Transformer-Based Network for Multispectral Pedestrian Detection

3D Face Cartoonizer: Generating Personalized 3D Cartoon Faces from 2D Real Photos with a Hybrid Dataset

Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature

Compound Label Learning for Affective Image Content Analysis

Weakly Supervised Learning of Instance Segmentation with Confidence Feedback

Robust Face-Swap Detection Based on 3D Facial Shape Information

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation

Tile Defect Detection Based on the Improved S2C-YOLOv5

Human-Object Interaction Detection: A Survey of Deep Learning-based Methods

Change Detection of Flood Hazard Areas in Multi-Source Heterogeneous Earth Observation Image Time Series Based on Spatiotemporal Enhancement Strategy

Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction

AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection

Spatial-Temporal Contextual Feature Fusion Network for Movie Description

A Transformer-Based Network for Deformable Medical Image Registration

Context Alignment Network for Video Moment Retrieval

Underwater Object Detection Using Restructured SSD

A Multi-Branch Cascade Transformer Network (MBCT-Net) for Hand Gesture Segmentation in Cluttered Background

Relative Position Relationship Learning Network for Scene Graph Generation

Person Re-Identification Based on CNN with Multi-Scale Contour Embedding

Causal Inference With Sample Balancing for Out-Of-Distribution Detection in Visual Classification

Low-Light Image Enhancement Under Mixed Noise Model With Tensor Representation

Sequential Fusion of Multi-View Video Frames for 3D Scene Generation

Multi-Model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network

Global-View Re-Identification Tracking with Transformer

VERTEX: VEhicle Reconstruction and TEXture Estimation From a Single Image Using Deep Implicit Semantic Template Mapping

TAR-Net: A Triple Attention Residual Network for Power Line Extraction from Infrared Aerial Images

Deep Dynamic-Range Compression of Infrared Video Camera

Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networks

Improving Adversarial Attacks With Ensemble-Based Approaches

Browsing Behavioral Intent Prediction on Product Recommendation Pages of E-Commerce Platform

An Optical Satellite Controller Based on Diffractive Deep Neural Network

Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraints

A Large-Scale Tobacco 3D Bin Packing Model Based on Dual-Task Learning of Group Blocks

ETH-TT: A Novel Approach For Detecting Ethereum Malicious Accounts

Multi-Objective Meta-Return Reinforcement Learning for Sequential Recommendation

Purchase Pattern Based Anti-Fraud Framework In Online E-Commerce Platform Using Graph Neural Network

Physical Logic Enhanced Network for Small-Sample Bi-Layer Metallic Tubes Bending Springback Prediction

Blind Surveillance Image Quality Assessment via Deep Neural Network Combined With the Visual Saliency

Power Grid Bus Cluster Based on Voltage Phasor Trajectory

Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos

Learning Evidential Cognitive Diagnosis Networks Robust to Response Bias

An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensors

An Automatic Surface Defect Detection Method With Residual Attention Network

Research on Intelligent Decision-Making Irrigation Model of Water and Fertilizer Based on Multi-Source Data Input

Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network

Adversarial and Implicit Modality Imputation With Applications to Depression Early Detection

EdgeVR360: Edge-Assisted Multiuser-Oriented Intelligent 360-Degree Video Delivery Scheme Over Wireless Network

Automatic Diagnose of Drug-Resistance Tuberculosis From CT Images Based on Deep Neural Networks

Maintaining Structural Information by Pairwise Similarity for Unsupervised Domain Adaptation

Hierarchical Recurrent Contextual Attention Network for Video Question Answering

An Intelligent Assessment System for Human Motor Functions of Stroke Patients

UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention

Audio-Visual Fusion Network Based on Conformer for Multimodal Emotion Recognition

Audio-Visual Multi-Person Keyword Spotting via Hybrid Fusion

A New Adaptive TV-Based BM3D Algorithm for Image Denoising

Data-Driven Hybrid Neural Network under Model-Driven Supervised Learning for Structural Dynamic Impact Localization

Connecting Patients With Pre-Diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis.

Other Format:

Printed edition:

ISBN:

978-3-031-20503-3

9783031205033

Access Restriction:

Restricted for use by site license.