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Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 2224, 2023, Proceedings, Part II 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 436 pages, kõrgus x laius: 235x155 mm, kaal: 688 g, 155 Illustrations, color; 10 Illustrations, black and white; XV, 436 p. 165 illus., 155 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14356
  • Ilmumisaeg: 30-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031463072
  • ISBN-13: 9783031463075
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Image and Graphics: 12th International Conference, ICIG 2023, Nanjing, China, September 2224, 2023, Proceedings, Part II 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 436 pages, kõrgus x laius: 235x155 mm, kaal: 688 g, 155 Illustrations, color; 10 Illustrations, black and white; XV, 436 p. 165 illus., 155 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14356
  • Ilmumisaeg: 30-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031463072
  • ISBN-13: 9783031463075
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031463075.html
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-class plenary speakers, exhibits, and high quality peer reviewed oral and poster presentations.



Computer Vision and Pattern Recognition: Temporal Global Re-Detection
Based on Interaction-Fusion Attention in Long-Term Visual Tracking.- VLNet: A
Multi-task Network for Joint Vehicle and Lane Detection.- Adaptive Cost
Aggregation in Iterative Depth Estimation for Efficient Multi-View Stereo.- A
Novel Semantic Segmentation Method for High-Resolution Remote Sensing Images
Based on Visual Attention Network.- Efficient Few-shot Image Generation via
Lightweight Octave Generative Adversarial Networks.- Incorporating Global
Correlation and Local Aggregation for Efficient Visual Localization.- Deep
Interactive Image Semantic and Instance Segmentation.- Learning
High-Performance Spiking Neural Networks With Multi-Compartment Spiking
Neurons.- Attribute Space Analysis for Image Editing.-SAGAN: Self-Attention
Generative Adversarial Net-work for RGB-D Saliency Prediction.- Behavioural
State Detection Algorithm for Infants and Toddlers Incorporating Multi-scale
Contextual Features.- Motion-Scenario Decoupling for Rat-Aware Video Position
Prediction: Strategy and Benchmark.- Dual Fusion Network for Hyperspectral
Semantic Segmentation.- Strip-FFT Transformer for single image deblurring.-
Vision-Language Adaptive Mutual Decoder for OOV-STR.- DensityLayout:
Density-conditioned Layout GAN for Visual-textual Presentation Designs.-
GLTCM: Global-Local Temporal and Cross-Modal  Network for Audio-Visual Event
Localization.- Recent Advances in Class-Incremental Learning.- TTA-GCN:
Temporal Topology Aggregation for Skeleton-Based Action Recognition.- A
Stable Long-Term Tracking Method For Group-Housed Pigs.- Dynamic Attention
for Isolated Sign Language Recognition with Reinforcement Learning.- A
Segmentation Method based on SE Attention and U-Net for Apple Image.- Human
Action Recognition Method based on spatio-temporal relationship.- Facial
expression recognition from occluded images using deep convolution neural
network with Vision Transformer.- Learning Discriminative Proposal
Representation for Multi-Object Tracking.- Virtual-Violence: A Brand-New
Dataset for Video Violence Recognition.- A novel Attention-DeblurGAN-Based
Defogging Algorithm.- Multi-Modal Context-Aware Network for Scene Graph
Generation.- VQA-CLPR: Turning a Visual Question Answering Model into a
Chinese License Plate Recognizer.- Unsupervised Vehicle Re-Identification via
Raw UAV Videos.- Distance-Aware Vector-Field and Vector Screening Strategy
for 6D Object Pose Estimation.- SSTA-Net: Self-supervised Spatio-Temporal
Attention Network for Action Recognition.- Gesture recognition method based
on Sim-ConvNeXt model.- Research on Airborne Infrared Target Recognition
Method based on Target-Environment Coupling.- Semantic and Gradient Guided
Scene Text Image Super-Resolution.