Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II: Lecture Notes in Computer Science, cartea 13020
Editat de Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhaoen Limba Engleză Paperback – 8 oct 2021
The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
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Specificații
ISBN-13: 9783030880064
ISBN-10: 3030880060
Pagini: 677
Ilustrații: XX, 677 p. 262 illus., 245 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.96 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030880060
Pagini: 677
Ilustrații: XX, 677 p. 262 illus., 245 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.96 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
Computer Vision, Theories and Applications.- Dynamic Fusion Network For Light Field Depth Estimation.- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data.- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization.- Video-Based Reconstruction of Smooth 3D Human Body Motion.- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition.- 3D Correspondence Grouping with Compatibility Features.- Contour-Aware Panoptic Segmentation Network.- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder.- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network.- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection.- FMixAugment for Semi-Supervised Learning with Consistency Regularization.- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery.- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images.- AnchorConv: Anchor Convolution for Point Clouds Analysis.- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition.- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement.- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments.- Dual-Layer Barcodes.- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization.- Unsupervised learning framework for 3D reconstruction from face sketch.- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction.- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction.- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds.- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method.- Enhancing Latent Features for Unsupervised Video Anomaly Detection.- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning.- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism.- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models.- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection.- Scene-Aware Ensemble Learning For Robust Crowd Counting.- Complementary Temporal Classification Activation Maps in Temporal Action Localization.- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space.- A Simple Network with Progressive Structure for Salient Object Detection.- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection.- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network.- A non-autoregressivedecoding model based on joint classification for 3D human pose regression.- Multimedia Processing and Analysis.- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification.- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification.- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map.- Attribute-level Interest Matching Network for Personalized Recommendation.- Variational Deep Representation Learning for Cross-Modal Retrieval.- Vein Centerline Extraction of Visible images Based on Tracking Method.- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval.- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation.- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis.- HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design.- A Fast Method for Extracting parameters of Circular Objects.- GGRNet: Global Graph Reasoning Network for Salient Object Detection in Optical Remote Sensing Images.- A Combination Classifier of Polarimetric SAR image Based on D-S Evidence Theory.- Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention.- An End-to-End Mutual Enhancement Network toward Image Compression and Semantic Segmentation.- Deep Double Center Hashing for Face Image Retrieval.- A Novel Method of Cropped Images Forensics in Social Networks.- MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination.