Image and Graphics
Springer International Publishing (Verlag)
978-3-030-87357-8 (ISBN)
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.*
The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking.
*The conference was postponed due to the COVID-19 pandemic.Artificial Intelligence.- A Calibration Strategy for Smart Welding.- Brain connectivity: exploring from a high-level topological perspective.- Hetero-STAN: Crowd Flow Prediction by Heterogeneous Spatio-Temporal Attention Network.- UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network.- Object 6DoF Pose Estimation of Power Grid Manipulating Robot.- Novel Augmented Reality System for Oral and Maxillofacial Surgery.- A New Dataset and Recognition for Egocentric Microgesture Designed by Ergonomists.- Machine learning architectures and formulations.- Orthogonal Dual Graph Regularized Nonnegative Matrix Factorization.- Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.- Free Adversarial Training with Layerwise Heuristic Learning.- Adversarial Attack with KD-Tree Searching on Training Set.- Mixup Without Hesitation.- An LDA and RBF-SVM Based Classification Method for Inertinite Macerals of Coal.- Weighted Non-convex Restoration Model for Hyperspectral Image.- Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity.- Normal Distribution Function on Descriptor Extraction.- Supervised Non-Negative Matrix Factorization Induced by Huber Loss.- Small Sample Identification for Specific Emitter Based on Adversarial Embedded Networks.- Multi-mode tensor singular value decompositionfor low-rank image recovery.- Hyperspectral Anomaly Detection Based on Tensor Truncated Nuclear Norm and Linear Total Variation Regularization.- Face, Gesture, and Body Pose.- Deep Human Pose Estimation via Self-Guided Learning.- Binary Convolutional Neural Networks for Facial Action Unit Detection.- Efficient Example Mining For Anchor-free Face Detection.- 6D Object Pose Estimation with Mutual Attention Fusion.- Attention-Guided Siamese Network for Clothes-Changing Person Re-identification.- Cross-domain Person Re-identification Based on the Sample Relation Guidance.- Large-scale target detection and classification based on improved candidate regions.- Joint Face Detection and Landmark Localization Based on an Extremely Lightweight Network.- Extremely Tiny Face Detector for Platforms with Limited Resources.- Multi-pose Facial Expression Recognition based on Unpaired Images.- Keypoint Context Aggregation For Human Pose Estimation.- Clothes-Independent Identity Feature Learning for Long-Term Person Re-identification.- Lightweight Non-local High-resolution Networks for Human Pose Estimation.- Occluded Animal Shape and Pose Estimation from a Single Color Image.- Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation.- Multi-view Gait Recognition By Inception-Encoder And CL-GEI.- Facial Action Unit Detection Based on Transformer and Attention Mechanism.- Unsupervised Detailed Human Shape Estimation from Multi-view Color Images.- Device-Adaptive 2D Gaze Estimation: a Multi-Point Differential Framework.- Dual Gated Learning for Visible-Infrared Person Re-Identification.- Biological and Medical Image Processing.-Dual Attention Guided R2 U-Net Architecture for Right Ventricle Segmentation in MRI Images.- Global Characteristic Guided Landmark Detection for Genu Valgus and Varus Diagnosis.- Data-Dependence Dual Path Network for Choroidal Neovascularization Segmentation in SD-OCT images.- A Novel Feature Fusion Network for Myocardial Infarction Screening Based on ECG Images.- Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning.- Cross-Domain Transfer Learning for Vessel Segmentation in Computed Tomographic Coronary Angiographic Images.- Frequency-based convolutional neural network for efficient segmentation of histopathology whole slide images.- MR Image Denoising by FGMM Clustering of Image Patches.- 3D-Resnet Fused Attention For Autism Spectrum Disorder Classification.- CEID: Benchmark Dataset for Designing Segmentation Algorithms of Instruments Used in Colorectal Endoscopy.- CD Loss: A Class-Center based Distribution Loss for Discriminative Feature Learning in Medical Image Classification.- Pruning the Seg-Edge Bilateral Constraint Fully Convolutional Network for Iris Segmentation.- CAB-Net: Channel Attention Block Network for Pathological image cell nucleus segmentation.- Region Context Aggregation Network for Multi-organ Segmentation on Abdominal CT.- A Reversible Digital Watermarking Algorithm based on Medical Images via Threshold Segmentation and Contrast Enhancement.- EMISTA-based Quantitative PET Reconstruction.- Bootstrap Knowledge Distillation for Chest X-ray Image Classification with Noisy Labelling.- Multi-modal Fusion With Dense Connection For Acute Bilirubin Encephalopathy Classification.- 3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification.-Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis using Diffusion Tensor Imaging.- Individual-specific Connectome Fingerprint Based Classificationof Temporal Lobe Epilepsy.- Multi-atlas segmentation combining multi-task local label learning and semi-supervised label propagation.- HPCSeg-Net: Hippocampus Segmentation Network Integrating Autofocus Attention Mechanism and Feature Recombination and Recalibration Module.- Uncertainty-based Visual Guidance for Interactive Medical Volume Segmentation Editing.- Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection.- Corona Virus Disease (COVID-19) Detection in CT Images Using Synergic Deep Learning.- Eye movement event detection based on path signature.
| Erscheinungsdatum | 21.09.2021 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XVIII, 838 p. 342 illus., 302 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1288 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Deep learning • Image Analysis • image coding • image manipulation • Image Processing • Image Quality • image reconstruction • Image Segmentation • Imaging Systems • Informatics • machine learning • Neural networks • Object recognition • pattern recognition • Research • Signal Processing |
| ISBN-10 | 3-030-87357-9 / 3030873579 |
| ISBN-13 | 978-3-030-87357-8 / 9783030873578 |
| Zustand | Neuware |
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