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Computer Vision – ECCV 2016

14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V

  • Bastian Leibe
  • Jiri Matas
  • Nicu Sebe
  • Max Welling

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9909)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9909)

Table of contents

  1. Poster Session 6

    1. Christos Kampouris, Stefanos Zafeiriou, Abhijeet Ghosh, Sotiris Malassiotis
      Pages 778-792
    2. Chen-Hsuan Lin, Rui Zhu, Simon Lucey
      Pages 793-808
    3. Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand
      Pages 809-824
    4. Oncel Tuzel, Tim K. Marks, Salil Tambe
      Pages 825-841
    5. Pritish Mohapatra, Puneet Kumar Dokania, C. V. Jawahar, M. Pawan Kumar
      Pages 842-857
    6. Yan Zhang, Rongrong Ji, Xiaopeng Fan, Yan Wang, Feng Guo, Yue Gao et al.
      Pages 858-874
  2. Back Matter
    Pages 891-893

Other volumes

  1. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I
  2. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II
  3. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III
  4. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV
  5. Computer Vision – ECCV 2016
    14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V
  6. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI
  7. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII
  8. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII
  9. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I
  10. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II
  11. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III

About these proceedings

Introduction

The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. 
The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision;  computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action, activity and tracking; 3D; and 9 poster sessions.

Keywords

computational photography image classification particle swarm optimization pattern mining semantic clustering 3D action detection autonomous driving background subtraction compression artifacts reduction computer aided diagnosis deep neural networks face recognition hierarchical modeling natural language neural networks social media statistical modeling stereo vision video processing

Editors and affiliations

  • Bastian Leibe
    • 1
  • Jiri Matas
    • 2
  • Nicu Sebe
    • 3
  • Max Welling
    • 4
  1. 1.RWTH Aachen AachenGermany
  2. 2.Czech Technical University Prague 2Czech Republic
  3. 3.University of Trento Povo - TrentoItaly
  4. 4.University of Amsterdam AmsterdamThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46454-1
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46453-4
  • Online ISBN 978-3-319-46454-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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