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E-raamat: Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part II

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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.