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Computational Visual Media

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 8, Issue 3 (2022)

Research Articles

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ARM3D: Attention-based relation module for indoor 3D object detection
Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, and Kai Xu

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PVT v2: Improved baselines with Pyramid Vision Transformer
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao

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Rendering discrete participating media using geometrical optics approximation
Jie Guo, Bingyang Hu, Yanjun Chen, Yuanqi Li, Yanwen Guo, and Ling-Qi Yan

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NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits
Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, and Holger Winnemöller

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Robust and efficient edge-based visual odometry
Feihu Yan, Zhaoxin Li, and Zhong Zhou

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Progressive edge-sensing dynamic scene deblurring
Tianlin Zhang, Jinjiang Li, and Hui Fan

Editiorial

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Message from the Best Paper Award Committee
Ming C. Lin, Xin Tong, and Wenping Wang

Review Articles

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Attention mechanisms in computer vision: A survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, and Shi-Min Hu

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High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
Jianwei Li, Wei Gao, Yihong Wu, Yangdong Liu, and Yanfei Shen

Computational Visual Media cover