Advances in Visual Computing

2023

Bebis, George , Ghiasi, Golnaz , Fang, Yi , Sharf, Andrei , Kohli, Luv , Weaver, Chris , Leo, Zhicheng , LaViola Jr., Joseph J. , Dong, Yue 저자(글)

Springer · 2023년 12월 01일

책 소개

작가정보

저자(글) Bebis, George

저자(글) Ghiasi, Golnaz

저자(글) Fang, Yi

저자(글) Sharf, Andrei

저자(글) Kohli, Luv

저자(글) Weaver, Chris

저자(글) Leo, Zhicheng

저자(글) LaViola Jr., Joseph J.

저자(글) Dong, Yue

목차

• ST: Biomedical Image Analysis Techniques for Cancer Detection,Diagnosis and Management.-Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentationon Whole Mammography Images.-Deep Learning Based GABA Edited-MRS Signal Reconstruction.-Investigating the Impact ofAttention on Mammogram Classification.-ReFit:A Framework for Refinement of Weakly Supervised SemanticSegmentation using Object Border Fitting for Medical Images.-A Data-centric Approach for Pectoral Muscle Deep LearningSegmentation Enhancements in Mammography Images.-Visualization.-Visualizing Multimodal Time Series at Scale.-Hybrid Tree Visualizations for Analysis of Gerrymandering.-ArcheryVis: A Tool for Analyzing and Visualizing Archery PerformanceData.-Spiro: Order-preserving Visualization inHigh Performance Computing Monitoring.-From Faces To Volumes - Measuring Volumetric Asymmetry in 3DFacial Palsy Scans.-Video Analysis and Event Recognition.-Comparison of Autoencoder Models for Unsupervised RepresentationLearning of Skeleton Sequences.-Local and GlobalContext Reasoning for Spatio-Temporal Action Localization.-Zero-Shot Video Moment Retrieval using BLIP-based Models.-Self-Supervised Representation Learning for FineGrained Human Hand Action Recognition in Industrial Assembly Lines.-ST: Innovations in Computer Vision & Machine Learning for Critical& Civil Infrastructures.-Pretext Tasks in Bridge Defect Segmentation within a ViT-AdapterFramework.-A Few-ShotAttention Recurrent Residual U-Net for Crack Segmentation.-Efficient Resource Provisioning in CriticalInfrastructures based on Multi-Agent Rollout enabled by Deep Q-Learning.-Video-Based Recognition of Aquatic Invasive Species Larvae UsingAttention-LSTM Transformer.-ST: Generalization in Visual Machine Learning.-Latent Space Navigation for Face Privacy: A Case Study on the MNISTDataset.-Domain Generalization for Foreground SegmentationUsing Federated Learning.-ProbabilisticLocal Equivalence Certification for Robustness Evaluation.-Challengesof Depth Estimation for Transparent Objects.-Volumetric Body Composition through Cross-DomainConsistency Training for Unsupervised Domain Adaptation.-Computer Graphics.-Water Animation Using Coupled SPH and Wave Equation.-Neural Rendering into Unity.-Virtual Home Staging: Inverse Rendering and Editing an IndoorPanorama under Natural Illumination.-SwarmCurves: Evolutionary Curve Reconstruction.-Medical Image Analysis.-Brain Cortical Surface Registration with Anatomical Atlas Constraints.-When System Model meets ImagePrior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging.-3D Reconstruction from 2DCerebral Angiograms as a Volumetric Denoising Problem.-An Integrated Shape-Texture Descriptor for ModelingWhole-Organism Phenotypes in Drug Screening.-Enhancing Image Reconstruction viaPhase-Constrained Data in an Iterative Process.-Biometrics.-I Got Your Emotion: Emotion Preserving Face De-identification UsingInjection-based Generative Adversarial Networks.-DoppelVer: A Benchmark forFace Verification.-Two-stage Face Detection and Anti-spoofing.-Autonomous Anomaly Detection in Images.-Driver Anomaly Detection Using Skeleton Images.-Driver Anomaly Detection Using Skeleton Images.-Latent Diffusionbased Multi-class Anomaly Detection.-ST: Artificial Intelligence in Aerial and Orbital Imagery.-Investigating the impact of a low-rank tensor-based approach on deforestation imagery.-StrategicIncorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks.-Autonomous NavigationVia A Cascading CNN Framework Leveraging Synthetic Terrain Images.-ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.-Synthetically labeled images for maize plant detection in UAS images.-An opensource simulation toolbox for annotation of images and point clouds inagricultural scenarios.-Multimodal Dataset for Localization,Mapping and Crop Monitoring in Citrus Tree Farms.-Identification of Abnormality in Maize Plants From UAVImages Using Deep Learning Approaches.-Deep Learningfor Super Resolution of Sugarcane Crop Line Imagery from UnmannedAerial Vehicles.

기본정보

ISBN	9783031479687 ( 3031479688 )
발행(출시)일자	2023년 12월 01일
쪽수	614쪽
크기	155 * 234 * 34 mm / 907 g
언어	영어