Titlebook: Computer-Aided Design and Computer Graphics; 18th International C Shi-Min Hu,Yiyu Cai,Paul Rosin Conference proceedings 2024 The Editor(s)

Waterproof

书目名称Computer-Aided Design and Computer Graphics影响因子(影响力)




书目名称Computer-Aided Design and Computer Graphics影响因子(影响力)学科排名




书目名称Computer-Aided Design and Computer Graphics网络公开度




书目名称Computer-Aided Design and Computer Graphics网络公开度学科排名




书目名称Computer-Aided Design and Computer Graphics被引频次




书目名称Computer-Aided Design and Computer Graphics被引频次学科排名




书目名称Computer-Aided Design and Computer Graphics年度引用




书目名称Computer-Aided Design and Computer Graphics年度引用学科排名




书目名称Computer-Aided Design and Computer Graphics读者反馈




书目名称Computer-Aided Design and Computer Graphics读者反馈学科排名

宏伟

表脸

,FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation,te the great success in various scenarios, the existing approaches fail to effectively utilize the velocity information in the flow field, resulting in the actual requirements of post-processing tasks being difficult to meet by the extracted features. To fully integrate structural information in the

开始发作

,A Lightweight Model for Feature Points Recognition of Tool Path Based on Deep Learning,r method encodes CL points as matrices and stores them as text files. We have developed a neural network with an Encoder-Decoder architecture, named EDFP-Net, which takes the encoding matrices as input, extracts deeper features using the Encoder, and recognizes feature points using the Decoder. Our

锯齿状

联想记忆

联想记忆

Influence of the Printing Direction on the Surface Appearance in Multi-material Fused Filament Fabrsurface appearance is largely a matter of trial and error unless the employed materials are very similar and very translucent, so we can think of them as blending together. When the multiple materials are fused into one filament in a diamond hotend extruder but do not blend, the resulting surface ap

树木心

StrongOC-SORT: Make Observation-Centric SORT More Robust,ositions and disturbed tracks. Despite great progress made by current trackers, their performance still needs improvement due to their inability to adapt their components to these challenges. In this work, we propose a new method, StrongOC-SORT, which exploits the observation-centric nature and four

Morbid

,Semi-direct Sparse Odometry with Robust and Accurate Pose Estimation for Dynamic Scenes, with moving objects. This paper addresses the problem by proposing a semi-direct sparse visual odometry (SDSO) method designed for dynamic scenes. With the aid of the pixel-level semantic information, the system can not only eliminate dynamic points but also construct more accurate photometric erro

Suggestions

,Parallel Dense Vision Transformer and Augmentation Network for Occluded Person Re-identification,s across different devices. Some existing methods mainly focus on developing effective data augmentation and representation learning techniques to improve the performance of person ReID systems. However, existing data augmentation strategies can not make full use of the information in the training d