Artificial intelligence Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, revised selected papers Part 1
Cross-Camera Deep Colorization.- Attentive Cascaded Pyramid Network for Online Video Stabilization.- Amodal Layout Completion in Complex Outdoor Scenes.- Exploring Hierarchical Prototypes for Few-Shot Segmentation.- BSAM: Bidirectional Scene-Aware Mixup for Unsupervised Domain Adaptation in Semantic...
Gespeichert in:
Tag hinzufügen 
| Zusammenfassung: | Cross-Camera Deep Colorization.- Attentive Cascaded Pyramid Network for Online Video Stabilization.- Amodal Layout Completion in Complex Outdoor Scenes.- Exploring Hierarchical Prototypes for Few-Shot Segmentation.- BSAM: Bidirectional Scene-Aware Mixup for Unsupervised Domain Adaptation in Semantic Segmentation.- Triple GNN: A Pedestrian-Scene-Object Joint Model for Pedestrian Trajectory Prediction.- Cross-Domain Trajectory Prediction With CTP-Net.- Spatial-Aware GAN for Instance-Guided Cross-Spectral Face Hallucination.- Lightweight Image Compression Based on Deep Learning.- DGMLP: Deformable Gating MLP Sharing for Multi-Task Learning.- Monocular 3D Face Reconstruction with Joint 2D and 3D Constraints.- Scene Text Recognition with Single-Point Decoding Network.- Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency.- Research on Multi-Temporal Cloud Removal using D-S Evidence Theory and Cloud Segmentation Model.- SASD: A Shape-Aware Saliency Object Detection Approach for RGB-D Images.- Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.- CDNeRF: A Multi-Modal Feature Guided Neural Radiance Fields.- MHPro: Multi-Hypothesis Probabilistic Modeling for Human Mesh Recovery.- Image Sampling for Machine Vision.- SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning.- H-ViT: Hybrid Vision Transformer for Multi-Modal Vehicle Re-Identification.- A Coarse-to-Fine Convolutional Neural Network for Light Field Angular Super-Resolution.- VSA: Adaptive Visual and Semantic Guided Attention on Few-Shot Learning.- Evolutionary Multitasking for Coarse-to-Fine Point Cloud Registration with Chaotic Opposition Search Strategy.-Matching and Localizing: A Simple Yet Effective Framework for Human-Centric Spatio-Temporal Video Grounding.- Part-Wise Topology Graph Convolutional Network for Skeleton-Based Action Recognition.- A Lightweight Detection Method of Smartphone Assembly Parts.- Illumination-Guided Transformer-Based Network for Multispectral Pedestrian Detection.- 3D Face Cartoonizer: Generating Personalized 3D Cartoon Faces from 2D Real Photos with a Hybrid Dataset.- Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature.- Compound Label Learning for Affective Image Content Analysis.- Weakly Supervised Learning of Instance Segmentation with Confidence Feedback.-Robust Face-Swap Detection Based on 3D Facial Shape Information.-Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation.- Tile Defect Detection Based on the Improved S2C-YOLOv5.- Human-Object Interaction Detection: A Survey of Deep Learning-based Methods.- Change Detection of Flood Hazard Areas in Multi-Source Heterogeneous Earth Observation Image Time Series Based on Spatiotemporal Enhancement Strategy.- Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction.- AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection.- Spatial-Temporal Contextual Feature Fusion Network for Movie Description.- A Transformer-Based Network for Deformable Medical Image Registration.-Context Alignment Network for Video Moment Retrieval.- Underwater Object Detection Using Restructured SSD.- A Multi-Branch Cascade Transformer Network (MBCT-Net) for Hand Gesture Segmentation in Cluttered Background.- Relative Position Relationship Learning Network for Scene Graph Generation.- Person Re-Identification Based on CNN with Multi-Scale Con |
|---|---|
| Beschreibung: | Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06) |
| Beschreibung: | xxxii, 677 Seiten Illustrationen |
| ISBN: | 9783031204968 978-3-031-20496-8 |