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In this issue, we first thank the reviewers for their hard work in handling papers during the year 2020 for the Visual Computer.
Then 5 papers from the special issue “Learning Representation for Visual Data” are presented. In addition, 2 papers from the conference Grapp 2019 as well as 2 papers from Cyberworlds 2019 have been selected. This issue is completed with 6 regular papers.
We also mention three corrections to 3 papers.
1 SI: Learning representation from visual data
We are happy to present 5 papers for the special issue “Learning representation from visual data” that has been handled by 4 guest editors who are:
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Dr. Wenming Zheng, Southeast University, China (lead Editor and Associate Editor of the Visual Computer).
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Dr. Jianjun Qian, Nanjing University of Science and Technology (guest editor).
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Dr. Wankou Yang, Southeast University, China (guest editor).
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Dr. Richard Yi Da Xu, University of Technology, Sydney (guest editor).
After a very careful review, the following papers have been selected:
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1.
Qiao Du et al., titled: “Block dictionary learning-driven convolutional neural networks for few shot face recognition”.
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2.
Li Zhang et al., titled: “Dissimilarity-based nearest neighbor classifier for single-sample face recognition”.
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3.
Cairong Zhao et al., titled: “FLAG: feature learning with additional guidance for person search”.
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4.
Qi Zhu et al., titled: “An effective recognition approach for contactless palm print”.
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5.
Azadeh Montazeri et al., titled: “MLK-SVD, the new approach in deep dictionary learning”.
2 Special selection from VISIGRAPP 2019 Conference
We are happy to present 2 selected papers from the conference VISIGRAPP 2019, chaired by Jose Braz from Portugal
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1.
Felix Gaisbauer et al., titled: “Combining heterogeneous digital human simulations: presenting a novel co-simulation approach for incorporating different character animation technologies”.
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2.
Bedrich Benes et al., titled: “Character motion in function space”.
3 Special selection from CYBERWORLDS 2019 Conference
We are happy to present 2 selected papers from the CYBERWORLDS 2019 Conference, chaired by Alexei Sourin, NTU, Singapore
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1.
Xingce Wang et al., titled: “3D skull and face similarity measurements based on a harmonic wave kernel signature”.
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2.
Xiaoyang Mao et al., titled: “Matching a composite sketch to a photographed face using fused HOG and deep feature models”.
4 Regular papers
The following 6 papers have been submitted as regular papers to the Visual Computer
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1.
Naoki Kita et al., titled: “Computational design of polyomino puzzles” (also presented at CGI2020 conference).
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2.
Mehdi Ayadi et al., titled: “A skyline-based approach for mobile augmented reality”.
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3.
Hongbo Huang et al., titled: “YOLO-face: a real-time face detector”.
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4.
Jinlong Shi et al., titled: “A self-supervised method of single-image depth estimation by feeding forward information using max-pooling layers”.
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5.
Nam Kim et al., titled: “Efficient object tracking using hierarchical convolutional features model and correlation filters”.
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6.
Selçuk Aslan et al., titled: “Modified artificial bee colony algorithms for solving multiple circle detection problem”.
5 Corrections
We mention three corrections to the following papers:
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1.
Kwnag Ko et al., Correction to: Automated recognition of 3D pipelines from point clouds.
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2.
Jianping Hu et al., Correction to: Robust and blind image watermarking via circular embedding and bidimensional empirical mode decomposition.
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3.
Yan Jin et al., Correction to: Low-dose CT lung images denoising based on multiscale parallel convolution neural network.
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Magnenat-Thalmann, N. Preface (Vol 37, Issue 4). Vis Comput 37, 661–662 (2021). https://doi.org/10.1007/s00371-021-02113-6
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DOI: https://doi.org/10.1007/s00371-021-02113-6