標(biāo)題: Titlebook: Computer-Aided Design and Computer Graphics; 18th International C Shi-Min Hu,Yiyu Cai,Paul Rosin Conference proceedings 2024 The Editor(s) [打印本頁(yè)] 作者: Waterproof 時(shí)間: 2025-3-21 18:35
書目名稱Computer-Aided Design and Computer Graphics影響因子(影響力)
書目名稱Computer-Aided Design and Computer Graphics影響因子(影響力)學(xué)科排名
書目名稱Computer-Aided Design and Computer Graphics網(wǎng)絡(luò)公開度
書目名稱Computer-Aided Design and Computer Graphics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer-Aided Design and Computer Graphics被引頻次
書目名稱Computer-Aided Design and Computer Graphics被引頻次學(xué)科排名
書目名稱Computer-Aided Design and Computer Graphics年度引用
書目名稱Computer-Aided Design and Computer Graphics年度引用學(xué)科排名
書目名稱Computer-Aided Design and Computer Graphics讀者反饋
書目名稱Computer-Aided Design and Computer Graphics讀者反饋學(xué)科排名
作者: 宏偉 時(shí)間: 2025-3-21 21:17 作者: 表臉 時(shí)間: 2025-3-22 00:54
,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作者: 開始發(fā)作 時(shí)間: 2025-3-22 04:50
,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 作者: 鋸齒狀 時(shí)間: 2025-3-22 11:17 作者: 聯(lián)想記憶 時(shí)間: 2025-3-22 16:06 作者: 聯(lián)想記憶 時(shí)間: 2025-3-22 17:54
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作者: 樹木心 時(shí)間: 2025-3-23 00:16
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作者: Morbid 時(shí)間: 2025-3-23 03:56
,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作者: Suggestions 時(shí)間: 2025-3-23 06:19
,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作者: 心胸開闊 時(shí)間: 2025-3-23 10:43
,Spatial-Temporal Consistency Constraints for?Chinese Sign Language Synthesis,, directly splicing or combining video clips may result in video jumping problems. To this end, this paper proposes a novel spatial-temporal consistency constraints (STCC) approach for sign synthesis, which enhances the authenticity and acceptability of the synthesized video by generating intermedia作者: Benign 時(shí)間: 2025-3-23 17:46
,An Easy-to-Build Modular Robot Implementation of?Chain-Based Physical Transformation for?STEM Educalications in a variety of industries. In this paper, we presented EasySRRobot, a low-cost, easy-to-build self-reconfigurable modular robot, to realize the automatic transformation across different configurations, and overcomes the limitation of existing transformation methods requiring manual involv作者: 轎車 時(shí)間: 2025-3-23 20:55 作者: 千篇一律 時(shí)間: 2025-3-24 01:40
,Color-Correlated Texture Synthesis for?Hybrid Indoor Scenes,e predicts theme color for each room using a GAN-based method, before generating texture maps using combinatorial optimization. We consider constraints on material selection, color correlation, and color palette matching. Our experiments show the pipeline’s ability to produce pleasing and harmonious作者: Deference 時(shí)間: 2025-3-24 06:03 作者: tendinitis 時(shí)間: 2025-3-24 07:48
NeRF Synthesis with Shading Guidance,h only sparse views given. However, utilizing NeRF to reconstruct real-world scenes requires images from different viewpoints, which limits its practical application. This problem can be even more pronounced for large scenes. In this paper, we introduce a new task called NeRF synthesis that utilizes作者: meritorious 時(shí)間: 2025-3-24 12:29
,Multi-scale Hybrid Transformer Network with?Grouped Convolutional Embedding for?Automatic Cephalomee challenge of developing automatic cephalometric detection methods that are both precise and cost-effective for detecting as many landmarks as possible. Although current deep learning-based approaches have attained high accuracy, they have limitations in detecting landmarks that lack distinct textu作者: 手勢(shì) 時(shí)間: 2025-3-24 16:47
,ZDL: Zero-Shot Degradation Factor Learning for?Robust and?Efficient Image Enhancement,abeled training data and are limited by the data distribution and application scenarios. To address these limitations, inspired by Hadamard theory, we propose a Zero-shot Degradation Factor Learning (ZDL) for robust and efficient image enhancement, which also could be extended to various harsh scena作者: 性滿足 時(shí)間: 2025-3-24 22:50
,Self-supervised Contrastive Feature Refinement for?Few-Shot Class-Incremental Learning,ard to capture the underlying patterns and traits of the few-shot classes. To meet the challenges, we propose a Self-supervised Contrastive Feature Refinement (SCFR) framework which tackles the FSCIL issue from three aspects. Firstly, we employ a self-supervised learning framework to make the networ作者: 愛管閑事 時(shí)間: 2025-3-25 01:33
https://doi.org/10.1007/978-981-99-9666-73D vision; Bio-CAD and Nano-CAD; computer animation; deep learning for graphics; geometric modeling; geom作者: 陶瓷 時(shí)間: 2025-3-25 05:42
978-981-99-9665-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-25 11:11 作者: 泄露 時(shí)間: 2025-3-25 15:31 作者: artless 時(shí)間: 2025-3-25 19:38 作者: GRUEL 時(shí)間: 2025-3-25 23:22
,Avant-Garde and Continuity 1887–1986,sed on HigherHRNet, which integrates Residual Feature Augmentation (RFA) and Double Refinement Feature Pyramid Network (DRFPN). Firstly, the introduction of RFA further enriches the semantic information of the multi-scale feature maps. Secondly, with the help of spatial attention mechanism and defor作者: Cardioplegia 時(shí)間: 2025-3-26 00:21
Traditional Forms of Credit in Rural China,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作者: 偏狂癥 時(shí)間: 2025-3-26 07:59
Current Conditions of Rural Credit in China,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 作者: 駕駛 時(shí)間: 2025-3-26 08:42 作者: cumulative 時(shí)間: 2025-3-26 14:25 作者: 樣式 時(shí)間: 2025-3-26 17:08 作者: 六邊形 時(shí)間: 2025-3-26 21:11 作者: Mutter 時(shí)間: 2025-3-27 03:32
The Evolution of American Women’s Studies 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作者: Visual-Field 時(shí)間: 2025-3-27 05:40 作者: HEDGE 時(shí)間: 2025-3-27 10:38 作者: 猛擊 時(shí)間: 2025-3-27 15:09 作者: Hypomania 時(shí)間: 2025-3-27 18:22 作者: IOTA 時(shí)間: 2025-3-27 22:45 作者: Dealing 時(shí)間: 2025-3-28 03:39
https://doi.org/10.1007/1-4020-5149-2l that couples metaballs which are distributed adaptively and a triangular surface mesh. We use the centers of metaballs as physical particles and apply Projective Dynamics for deformation simulation. To produce more realistic simulation, we propose a new Projective Dynamics constraint for metaballs作者: 不能約 時(shí)間: 2025-3-28 06:54 作者: Archipelago 時(shí)間: 2025-3-28 10:50
A Reflection on Media and Migration,e challenge of developing automatic cephalometric detection methods that are both precise and cost-effective for detecting as many landmarks as possible. Although current deep learning-based approaches have attained high accuracy, they have limitations in detecting landmarks that lack distinct textu作者: debunk 時(shí)間: 2025-3-28 14:39 作者: Hamper 時(shí)間: 2025-3-28 22:32
https://doi.org/10.1007/978-3-319-91620-0ard to capture the underlying patterns and traits of the few-shot classes. To meet the challenges, we propose a Self-supervised Contrastive Feature Refinement (SCFR) framework which tackles the FSCIL issue from three aspects. Firstly, we employ a self-supervised learning framework to make the networ作者: 無(wú)目標(biāo) 時(shí)間: 2025-3-28 23:19
Conference proceedings 2024h took place in?Shanghai, China, during August 19–21, 2023..The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as?computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer作者: BADGE 時(shí)間: 2025-3-29 04:03
,Avant-Garde and Continuity 1887–1986,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.作者: Crayon 時(shí)間: 2025-3-29 09:28
MsF-HigherHRNet: Multi-scale Feature Fusion for Human Pose Estimation in Crowded Scenes,effectively solved. The experimental results on the CrowdPose dataset under the same experimental environment and image resolution show that the average accuracy of MsF-HigherHRNet is 69.7%, which is 1.7% higher than the average accuracy of HigherHRNet under the same configuration and has better robustness.作者: BIBLE 時(shí)間: 2025-3-29 13:42 作者: 染色體 時(shí)間: 2025-3-29 17:50 作者: 鎮(zhèn)壓 時(shí)間: 2025-3-29 21:57
Current Conditions of Rural Credit in China,DFP-Net, which takes the encoding matrices as input, extracts deeper features using the Encoder, and recognizes feature points using the Decoder. Our experiments on industrial parts demonstrate the superior efficiency of our method.作者: 鍍金 時(shí)間: 2025-3-30 01:33 作者: groggy 時(shí)間: 2025-3-30 06:29 作者: 眼界 時(shí)間: 2025-3-30 10:23 作者: 是剝皮 時(shí)間: 2025-3-30 15:32 作者: 水土 時(shí)間: 2025-3-30 18:40
https://doi.org/10.1057/9780230616677 method has demonstrated the ability to effectively handle diverse and complex outdoor building layouts, as evidenced by its superior performance on the Huizhou traditional village dataset. Both qualitative and quantitative evaluations demonstrate that our method outperforms current GNN-based layout methods in terms of realism and diversity.作者: Blood-Vessels 時(shí)間: 2025-3-30 21:00 作者: Acetaminophen 時(shí)間: 2025-3-31 02:02 作者: DEBT 時(shí)間: 2025-3-31 06:06 作者: 最后一個(gè) 時(shí)間: 2025-3-31 11:52 作者: nascent 時(shí)間: 2025-3-31 17:22 作者: 瘋狂 時(shí)間: 2025-3-31 21:19 作者: 流逝 時(shí)間: 2025-3-31 22:18 作者: 騙子 時(shí)間: 2025-4-1 04:19
,The Vicissitudes of the Organic 1910–1998,parts account for most articulated shape variations and benefit pose generalization. Moreover, geometry details can be easily fitted once the part poses are estimated. At the coarse-fitting stage, we propose a part approximation network, to transform a template to fit inputs by a set of pose paramet作者: instulate 時(shí)間: 2025-4-1 08:56 作者: 不能平靜 時(shí)間: 2025-4-1 11:51 作者: 酷熱 時(shí)間: 2025-4-1 16:19 作者: TOM 時(shí)間: 2025-4-1 20:43
Women’s Studies: A View from the Marginstive State module to provide discriminative tracks for association in DanceTrack. Our proposed method achieves state-of-the-art performance on DanceTrack and MOT20 with 63.4 HOTA and 64.1 HOTA, while providing competitive performance on MOT17 with the best IDF1 and AssA. The experimental results dem
