图书简介

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-autoregressive decoding 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

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