Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11205)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ECCV: European Conference on Computer Vision
Conference proceedings info: ECCV 2018.
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Table of contents (49 papers)
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Poster Session
Other Volumes
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Computer Vision – ECCV 2018
About this book
The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
Keywords
- computer vision
- machine learning
- deep neural networks
- reinforcement learning
- object recognition
- image classification
- image processing
- object detection
- semantic segmentation
- human pose estimation
- 3d reconstruction
- stereo vision
- computational photography
- neural networks
- image coding
- image reconstruction
- object recognition
- motion estimation
Editors and Affiliations
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Google Research, Zurich, Switzerland
Vittorio Ferrari, Cristian Sminchisescu
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Carnegie Mellon University, Pittsburgh, USA
Martial Hebert
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Hebrew University of Jerusalem, Jerusalem, Israel
Yair Weiss
Bibliographic Information
Book Title: Computer Vision – ECCV 2018
Book Subtitle: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I
Editors: Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-01246-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-01245-8Published: 06 October 2018
eBook ISBN: 978-3-030-01246-5Published: 05 October 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXX, 849
Number of Illustrations: 304 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics, Biometrics
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