Pattern Recognition and Computer Vision
Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I
Editors: Peng, Y., Liu, Q., Lu, H., Sun, Z., Liu, C., Chen, X., Zha, H., jian, Y. (Eds.)
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- About this book
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The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020.
The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.
- Table of contents (62 chapters)
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Medical CT Image Super-Resolution via Cyclic Feature Concentration Network
Pages 3-13
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Generative Landmark Guided Face Inpainting
Pages 14-26
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Multi-granularity Multimodal Feature Interaction for Referring Image Segmentation
Pages 27-39
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Hyperspectral Image Denoising Based on Graph-Structured Low Rank and Non-local Constraint
Pages 40-52
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Automatic Tooth Segmentation and 3D Reconstruction from Panoramic and Lateral Radiographs
Pages 53-64
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Table of contents (62 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Pattern Recognition and Computer Vision
- Book Subtitle
- Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I
- Editors
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- Yuxin Peng
- Qingshan Liu
- Huchuan Lu
- Zhenan Sun
- Chenglin Liu
- Xilin Chen
- Hongbin Zha
- Yang jian
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 12305
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-60633-6
- DOI
- 10.1007/978-3-030-60633-6
- Softcover ISBN
- 978-3-030-60632-9
- Edition Number
- 1
- Number of Pages
- XXVI, 765
- Number of Illustrations
- 361 b/w illustrations, 319 illustrations in colour
- Topics