Advances in Computer Graphics

41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1–5, 2024, Proceedings, Part I

Häftad, Engelska, 2025

Av Nadia Magnenat-Thalmann, Jinman Kim, Bin Sheng, Zhigang Deng, Daniel Thalmann, Ping Li

1 129 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 1–5, 2024, in Geneva, Switzerland. The 84 full papers presented in these proceedings were carefully reviewed and selected from 211 submissions.

Produktinformation

Utgivningsdatum2025-02-27
Mått155 x 235 x 23 mm
Vikt622 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor388
FörlagSpringer International Publishing AG
ISBN9783031818059

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Programmeringsböcker inom Data och it
Hårdvara inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik

Colors, Painting and Layout.- Blue Light Digital Filter with Accurate Color Representation, Contrast and Quality.- RRM: Relightable Assets using Radiance Guided Material Extraction.- DesignGAN: Generation of Hand-drawn Garment Sketches.- SCD: Statistical Color Distribution-based Objective Image Colorization Quality Assessment.- Detection and Recognition.- FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios.- Automated Recognition of Gait Emotions.- Temporal Fusion Network for Continuous Sign Language Recognition.- SCB-LEDN: Lightweight and Efficient Object Detection Network for Student Classroom Behavior.- TunSLR-25: A New Static Tunisian Sign Language Recognition System.- YOLOv8-MGH: Dense Crowd Object Detection.- 3D Face Recognition with Contrastive Learning Network on Low-quality Data.-Image Analysis and Processing.- MambaDW: Semantic-Aware Mamba for Document Watermark Removal.- LSBNet: Lightweight Symmetrically Balanced Network for Real-time Semantic Segmentation.- Semantic Cross-Self-Reconstruction with Graph Convolutional Network for Zero-Shot Cross-Modal Retrieval.- BISRM: Geotechnical Borehole Image Super-resolution Method based on Conditional Diffusion Model.- Spectral Transforms for Caustic Denoising: A Comparative Analysis for Monte Carlo Rendering.- SCAR-UNet: An Improved Res-UNet with Channel and Spatial Attention for Coal Maceral Image Segmentation.- Image Restoration and Enhancement.- Multiple Weather Images Restoration using the Task Transformer and Adaptive Mixup Strategy.- Retinex-based Low-light Mural Image Enhancement with Color Correction.- ED-Net: Unified Enhancement-Denoising Deep Convolutional Network for Low-Light Mining Images.- Introducing Radex: Adaptive Parameterized Feature Extraction from Medical Images.-Visual Analytics and Modeling.- GSMC: A Global-local Scalable Multi-task Contrastive Learning Framework.- Web3D-Based Lightweight Simulation for Mass Evacuation at Transportation Hubs.-Decoupled Estimation of Human Pose and Shape for ICH Performance Video Based on L-C-HRNet.- DS-Seq: Deriving Smooth 3D Human Motion Sequences from Video Time Cues.- Construction and Visual Validation of Low-carbon Development Evaluation System for Urban Agglomerations.- Enhanced Plant Phenotyping Through Spatio-Temporal Point Cloud Registration.- DM-Vis: A Graph-based Data Reconnaissance System for Multi-domain Urban Data.