This issue contains three types of papers:

  1. 1.

    6 best papers from the conference Cyberworlds 2022

  2. 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.

  3. 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

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

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

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.