Fr. 178.00

Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part III

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

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.

List of 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 ImageU

Product details

Assisted by Lu Fang (Editor), Tao Mei (Editor), Daniel Povey (Editor), Ruiping Wang (Editor), Guangtao Zhai (Editor), Guangtao Zhai et al (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 17.12.2022
 
EAN 9783031205026
ISBN 978-3-0-3120502-6
No. of pages 633
Dimensions 155 mm x 35 mm x 235 mm
Illustrations XX, 633 p. 230 illus., 170 illus. in color.
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.