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E-raamat: Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part I

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Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part ISuurem pilt
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The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.

The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.

The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-classplenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.



Computer Vision and Pattern Recognition: Attention-based Global-Local
Graph Learning for Dynamic Facial Expression Recognition.- Implicit
Representation for Interacting Hands Reconstruction from Monocular Color
Images.- HQFS: High-quality Feature Selection for Accurate Change Detection.-
FAFormer: Foggy Scene Semantic Segmentation by Fog-invariant Auxiliary Domain
adaptation.- Video-based Person Re-identification With Long Short-Term
Representation Learning.- Multi-semantic fusion model for generalized
zero-shot skeleton-based action recognition.- Toward Better SSIM Loss for
Unsupervised Monocular Depth Estimation.- SECT: Sentiment-Enriched Continual
Training for Image Sentiment Analysis.- Learn to Enhance the Negative
Information in Convolutional Neural Network.- Task-Agnostic Generalized
Meta-Learning based on MAML for Few-shot Bearing Fault Diagnosis.- Weakly
Supervised Image Matting via Patch Clustering.- Attention-guided Motion
Estimation for Video Compression.- Cloud Detection from Remote Sensing Images
by Cascaded U-shape Attention Networks.- Ar3dHands: A Dataset and Baseline
for Real-time 3D Hand Pose Estimation from Binocular Distorted Images.-
TANet: Adversarial Network via Tokens Transformer for Universal Domain
Adaptation.- GLM: A Model Based on Global-Local Joint Learning for Emotion
Recognition from Gaits using Dual-Stream Network.- HuMoMM: A Multi-Modal
Dataset and Benchmark for Human Motion Analysis.- Enhanced Frequency
Information for Image Dehazing.- Energy-Efficient Robotic Arm Control Based
on Differentiable Spiking Neural Networks.- Uncover the Body: Occluded Person
Re-identification via Masked Image Modeling.- Enhancing Adversarial
Transferability From the Perspective of Input Loss Landscape.- Local-Fusion
Diffusion Model for Enhancing Few-Shot Image Generation.- Table Structure
Recognition of Historical Dongba Documents.- LE2Fusion: A novel local edge
enhancement module for infrared and visible image fusion.- Complex Glyph
Enhancement for License Plate Generation.- High Fidelity Virtual Try-On via
Dual Branch Bottleneck Transformer.- A Road Damage Segmentation Method for
Complex  Environment Based on Improved UNet.- Structural Reparameterization
Network on Point Cloud Semantic Segmentation.- Physical Key Point Detection
Algorithm based on Multi-Scale Feature Fusion.- Skeleton Based Dynamic Hand
Gesture Recognition using Short Term Sampling Neural Networks (STSNN).- Face
Anti-spoofing Based on Client Identity Information and Depth Map.-
Attention-based RGBD Fusenet for Monocular 3D Body Geometry and Pose
Reconstruction.- Distortion-Aware Mutual Constraint for Screen Content Image
Quality Assessment.- Visual Realism Assessment for Face-swap Videos.- 360°
Omnidirectional Salient Object Detection with Multi-scale Interaction and
Densely-connected Prediction.
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