Computational Visual Media is a Single-Blinded peer-reviewed open access journal published quarterly by Tsinghua University Press and Springer under the SpringerOpen brand. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media.
Current Issue: Volume 6, Issue 4 (2020)
Research Articles
A survey of recent interactive image segmentation methods
Hiba Ramadan, Chaymae Lachqar, and Hamid Tairi
Kernel-blending connection approximated by a neural network for image classification
Xinxin Liu, Yunfeng Zhang, Fangxun Bao, Kai Shao, Ziyi Sun, and Caiming Zhang
A new dataset of dog breed images and a benchmark for fine-grained classification
Ding-Nan Zou, Song-Hai Zhang, Tai-Jiang Mu, and Min Zhang
Weight asynchronous update: Improving the diversity of filters in a deep convolutional network
Dejun Zhang, Linchao He, Mengting Luo, Zhanya Xu, and Fazhi He
Computing knots by quadratic and cubic polynomial curves
Fan Zhang, Jinjiang Li, Peiqiang Liu, and Hui Fan
Fluid-inspired field representation for risk assessment in road scenes
Xuanpeng Li, Lifeng Zhu, Qifan Xue, Dong Wang, and Yongjie Jessica Zhang
Simple primitive recognition via hierarchical face clustering
Xiaolong Yang and Xiaohong Jia
Temporal scatterplots
Or Patashnik, Min Lu, Amit H. Bermano, and Daniel Cohen-Or
Estimating camera parameters from starry night photographs
Naoto Ishikawa and Yoshinori Dobashi
