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Computer Vision – ECCV 2018

15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII

  • Conference proceedings
  • © 2018

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11217)

Included in the following conference series:

Conference proceedings info: ECCV 2018.

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About this book

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.
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.

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Keywords

Table of contents (49 papers)

  1. Learning for Vision

  2. Poster Session

Editors and Affiliations

  • Google Research, Zurich, Switzerland

    Vittorio Ferrari, Cristian Sminchisescu

  • Carnegie Mellon University, Pittsburgh, USA

    Martial Hebert

  • 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 XIII

  • Editors: Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-01261-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-01260-1Published: 09 October 2018

  • eBook ISBN: 978-3-030-01261-8Published: 08 October 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXI, 851

  • Number of Illustrations: 1031 b/w illustrations, 301 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence

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