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This issue contains three types of papers:
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1.
6 best papers from the conference Cyberworlds 2022
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2.
5 best papers from the second part of the special issue of Deep Learning for 3D segmentation. The first part of this special issue has been published in June 2023, Volume 39, Issue 6.
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3.
34 regular papers
List of 6 selected papers from the conference Cyberworlds 2022 held in Kanazawa, Japan. The program chairs are Yuriko Takeshima, Haoran Xie, Alexei Sourin.
Article_first author | Article_title |
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Guangmang Cui | Procedural modeling of artificially cultivated shrub roses |
Xiangning Wang | Context-aware personality estimation and emotion recognition in social interaction |
Guan Yang | Immersive haptic simulation for training nurses in emergency medical procedures |
Minglong Lei | A video compression-cum-classification network for classification from compressed video streams |
Qing Xie | SLOD2 + WIN: semantics-aware addition and LoD of 3D window details for LoD2 CityGML models with textures |
Liang Yang | Military education in extended reality (XR): learning troublesome knowledge through immersive experiential application |
List of 5 papers following a call for papers on “Deep Learning for 3D Segmentation.” This special section has been led by Dr Mingqiang Wei, from Nanjing University in China.
A first part of this issue on Deep Learning for 3D Segmentation has been published previously in June 2023, Vol 39, Issue 6.
Dennis Balreira | GeoSegNet: point cloud semantic segmentation via geometric encoder–decoder modeling | Original article |
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Jin Huang | Structure-preserving image smoothing via contrastive learning | Original article |
Haiwei Sang | MFFNet: multimodal feature fusion network for point cloud semantic segmentation | Original article |
Chun Zhang | Unsupervised contrastive learning with simple transformation for 3D point cloud data | Original article |
Wenjun Hu | RT-less: a multi-scene RGB dataset for 6D pose estimation of reflective texture-less objects | Original article |
List of 34 regular papers that have been online since a while and now assigned to this June issue.
Abeer Banerjee | ParaColorizer-Realistic image colorization using parallel generative networks |
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Andreas Aristidou | Dancing in virtual reality as an inclusive platform for social and physical fitness activities: a survey |
Samiappan Dhanalakshmi | An optimal adaptive reweighted sampling-based adaptive block compressed sensing for underwater image compression |
Bo Ren | Rendering real-world unbounded scenes with cars by learning positional bias |
Shuang Liang | Patch excitation network for boxless action recognition in still images |
Yongqing Huo | Ghost-free multi-exposure high dynamic range imaging based on feedback network |
Qichuan Ding | BDNet: a method based on forward and backward convolutional networks for action recognition in videos |
Shiqiang Hu | Multi-granularity attention in attention for person re-identification in aerial images |
Shi Bao | IDA: an improved dual attention module for pollen classification |
Hua Bao | Multi-modality information refinement fusion network for RGB-D salient object detection |
Chao-Ching Ho | Reinforcement learning-based approach for plastic texture surface defects inspection |
Badri Subudhi | Bayesian’s probabilistic strategy for feature fusion from visible and infrared images |
Tingting Jiang | Dehaze on small-scale datasets via self-supervised learning |
Ajmal Mohammed | SecMISS: Secured Medical Image Secret Sharing mechanism for smart health applications |
Xinbo Gao | An efficient and universal polygon prediction method based on derivable analytic geometry for arbitrary-shaped text detection |
Qianqian Hu | A family of hybrid iterative approximation methods for fitting blending curves |
Jiajun Zhang | Guiding image inpainting via structure and texture features with dual encoder |
Wanping Liu | RA-UNet: an improved network model for image denoising |
Yu Pang | Cross-modal collaborative propagation for RGB–T saliency detection |
Yanmin Zhu | High-density foreground object detection in optical remote sensing images via semantic fusion and box alignment |
Ivan Karpukhin | Probabilistic embeddings revisited |
Zhengping Hu | A fused convolutional spatio-temporal progressive approach for 3D human pose estimation |
Newlin Russel | Ownership of abandoned object detection by integrating carried object recognition and context sensing |
Chongyang Deng | Constrained least square progressive and iterative approximation (CLSPIA) for B-spline curve and surface fitting |
Liju Yin | EC-FBNet: embeddable converged front- and back-end network for 3D reconstruction in low-light-level environment |
Brajesh Kumar | Paddy yield prediction based on 2D images of rice panicles using regression techniques |
Wenyuan Yang | DC-PSENet: a novel scene text detection method integrating double ResNet-based and changed channels recursive feature pyramid |
Qing Tian | A plug-and-play noise-label correction framework for unsupervised domain adaptation person re-identification |
Yong Feng | DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images |
Yizhou Chen | Multi-category domain-dependent feature-based medical image translation |
Yongjun He | 3D shape classification based on global and local features extraction with collaborative learning |
Hua Yan | Lightweight multi-scale network with attention for accurate and efficient crowd counting |
Nadia Magnenat Thalmann.
Editor-in-Chief, the Visual Computer.
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Magnenat-Thalmann, N. Editorial June 2024 ( Vol 40, Issue 6). Vis Comput 40, 3847–3848 (2024). https://doi.org/10.1007/s00371-024-03457-5
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DOI: https://doi.org/10.1007/s00371-024-03457-5