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  • Conference proceedings
  • © 2018

Computer Vision – ECCV 2018

15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part III

Editors:

  1. Vittorio Ferrari

    1. Google Research, Zurich, Switzerland

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  2. Martial Hebert

    1. Carnegie Mellon University, Pittsburgh, USA

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  3. Cristian Sminchisescu

    1. Google Research, Zurich, Switzerland

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  4. Yair Weiss

    1. Hebrew University of Jerusalem, Jerusalem, Israel

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11207)

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 (50 papers)

  1. Front Matter

    Pages I-XXXI
    PDF

  2. Computational Photography

    1. Front Matter

      Pages 1-1
      PDF

    2. Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling

      • Hiroaki Santo, Michael Waechter, Masaki Samejima, Yusuke Sugano, Yasuyuki Matsushita
      Pages 3-19

    3. Programmable Triangulation Light Curtains

      • Jian Wang, Joseph Bartels, William Whittaker, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
      Pages 20-35

    4. Learning to Separate Object Sounds by Watching Unlabeled Video

      • Ruohan Gao, Rogerio Feris, Kristen Grauman
      Pages 36-54

    5. Coded Two-Bucket Cameras for Computer Vision

      • Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov et al.
      Pages 55-73

    6. Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

      • Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker
      Pages 74-90

  3. Poster Session

    1. Front Matter

      Pages 91-91
      PDF

    3. Spatio-Temporal Transformer Network for Video Restoration

      • Tae Hyun Kim, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf
      Pages 111-127

    4. Dense Pose Transfer

      • Natalia Neverova, Rıza Alp Güler, Iasonas Kokkinos
      Pages 128-143

    5. Memory Aware Synapses: Learning What (not) to Forget

      • Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars
      Pages 144-161

    6. Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence

      • Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim
      Pages 162-178

    7. Multimodal Unsupervised Image-to-Image Translation

      • Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz
      Pages 179-196

    8. Deeply Learned Compositional Models for Human Pose Estimation

      • Wei Tang, Pei Yu, Ying Wu
      Pages 197-214

    9. Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks

      • Siyang Li, Bryan Seybold, Alexey Vorobyov, Xuejing Lei, C.-C. Jay Kuo
      Pages 215-231

    10. Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement

      • Yukang Gan, Xiangyu Xu, Wenxiu Sun, Liang Lin
      Pages 232-247

    11. ML-LocNet: Improving Object Localization with Multi-view Learning Network

      • Xiaopeng Zhang, Yang Yang, Jiashi Feng
      Pages 248-263

    12. Diagnosing Error in Temporal Action Detectors

      • Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem
      Pages 264-280

    13. Improved Structure from Motion Using Fiducial Marker Matching

      • Joseph DeGol, Timothy Bretl, Derek Hoiem
      Pages 281-296
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Other Volumes

  1. Computer Vision – ECCV 2018 Workshops

  2. Computer Vision – ECCV 2018 Workshops

  3. Computer Vision – ECCV 2018 Workshops

  4. Computer Vision – ECCV 2018 Workshops

  5. Computer Vision – ECCV 2018 Workshops

  6. Computer Vision – ECCV 2018 Workshops

  7. Computer Vision – ECCV 2018

  8. Computer Vision – ECCV 2018

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  19. Computer Vision – ECCV 2018

  20. Computer Vision – ECCV 2018

  21. Computer Vision – ECCV 2018

  22. Computer Vision – 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

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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

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Bibliographic Information

  • Book Title: Computer Vision – ECCV 2018

  • Book Subtitle: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part III

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-01219-9

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-01218-2Published: 07 October 2018

  • eBook ISBN: 978-3-030-01219-9Published: 06 October 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXI, 865

  • Number of Illustrations: 305 b/w illustrations, 338 illustrations in colour

  • Topics: Image Processing and Computer Vision, Computer Graphics, Artificial Intelligence

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Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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