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 7, Issue 2 (2021)
Research Articles
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, and Shi-Min Hu
Temporal and spatial anti-aliasing for rendering reflections on water waves
Namo Podee, Nelson Max, Kei Iwasaki, and Yoshinori Dobashi
An end-to-end convolutional network for joint detecting and denoising adversarial perturbations in vehicle classification
Peng Liu, Huiyuan Fu, and Huadong Ma
Detecting human-object interaction with multi-level pairwise feature network
Hanchao Liu, Tai-Jiang Mu, and Xiaolei Huang
Joint regression and learning from pairwise rankings for personalized image aesthetic assessment
Jin Zhou, Qing Zhang, Jian-Hao Fan, Wei Sun, and Wei-Shi Zheng
SiamCPN: Visual tracking with the Siamese center-prediction network
Dong Chen, Fan Tang, Weiming Dong, Hanxing Yao, and Changsheng Xu
Efficient fastest-path computations for road maps
Renjie Chen and Craig Gotsman
Review Articles
Machine learning for digital try-on: Challenges and progress
Junbang Liang and Ming C. Lin
A survey on deep learning-based Monte Carlo denoising
Yuchi Huo and Sung-eui Yoon
