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Computer Vision – ECCV 2018

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

  • Conference proceedings
  • © 2018

Overview

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 11208)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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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Table of contents (48 papers)

  1. Front Matter

    Pages I-XXXI
    Download chapter PDF

  2. Poster Session

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

      • Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, Ming Yang
      Pages 3-21

    3. Progressive Structure from Motion

      • Alex Locher, Michal Havlena, Luc Van Gool
      Pages 22-38

    4. Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement

      • Minhyeok Heo, Jaehan Lee, Kyung-Rae Kim, Han-Ul Kim, Chang-Su Kim
      Pages 39-55

    5. Local Spectral Graph Convolution for Point Set Feature Learning

      • Chu Wang, Babak Samari, Kaleem Siddiqi
      Pages 56-71

    6. Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

      • Arun Mallya, Dillon Davis, Svetlana Lazebnik
      Pages 72-88

    7. Real-Time MDNet

      • Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han
      Pages 89-104

    8. Real-Time Hair Rendering Using Sequential Adversarial Networks

      • Lingyu Wei, Liwen Hu, Vladimir Kim, Ersin Yumer, Hao Li
      Pages 105-122

    9. Model-free Consensus Maximization for Non-Rigid Shapes

      • Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool
      Pages 123-140

    10. Relaxation-Free Deep Hashing via Policy Gradient

      • Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou
      Pages 141-157

    11. Question Type Guided Attention in Visual Question Answering

      • Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar
      Pages 158-175

    12. Estimating Depth from RGB and Sparse Sensing

      • Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
      Pages 176-192

    13. Specular-to-Diffuse Translation for Multi-view Reconstruction

      • Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel et al.
      Pages 193-211

    14. Stacked Cross Attention for Image-Text Matching

      • Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He
      Pages 212-228

    15. Deep Texture and Structure Aware Filtering Network for Image Smoothing

      • Kaiyue Lu, Shaodi You, Nick Barnes
      Pages 229-245

    16. VSO: Visual Semantic Odometry

      • Konstantinos-Nektarios Lianos, Johannes L. Schönberger, Marc Pollefeys, Torsten Sattler
      Pages 246-263

    17. MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models

      • Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
      Pages 264-281

    18. Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

      • Jie Guo, Zuojian Zhou, Limin Wang
      Pages 282-298

    19. Spatio-temporal Channel Correlation Networks for Action Classification

      • Ali Diba, Mohsen Fayyaz, Vivek Sharma, M. Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall et al.
      Pages 299-315
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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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  18. Computer Vision – ECCV 2018

  19. Computer Vision – ECCV 2018

  20. Computer Vision – ECCV 2018

  21. Computer Vision – ECCV 2018

  22. Computer Vision – ECCV 2018

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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