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Computer Vision – ECCV 2018

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

  • Conference proceedings
  • © 2018

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Overview

Editors:
  1. Vittorio Ferrari

    1. Google Research, Zurich, Switzerland

  2. Martial Hebert

    1. Carnegie Mellon University, Pittsburgh, USA

  3. Cristian Sminchisescu

    1. Google Research, Zurich, Switzerland

  4. Yair Weiss

    1. Hebrew University of Jerusalem, Jerusalem, Israel

Part of the book series:Lecture Notes in Computer Science (LNCS, volume 11205)

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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 (49 papers)

  1. Front Matter

    Pages I-XXX

  2. Learning for Vision

    1. Front Matter

      Pages 1-1

    2. Convolutional Networks with Adaptive Inference Graphs

      • Andreas Veit, Serge Belongie
      Pages 3-18

    3. Progressive Neural Architecture Search

      • Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li et al.
      Pages 19-35

    4. Diverse Image-to-Image Translation via Disentangled Representations

      • Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
      Pages 36-52

    5. Lifting Layers: Analysis and Applications

      • Peter Ochs, Tim Meinhardt, Laura Leal-Taixe, Michael Moeller
      Pages 53-68

    6. Learning with Biased Complementary Labels

      • Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao
      Pages 69-85

  3. Poster Session

    1. Front Matter

      Pages 87-87

    2. Semi-convolutional Operators for Instance Segmentation

      • David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi
      Pages 89-105

    3. Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning

      • Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
      Pages 106-121

    4. Fictitious GAN: Training GANs with Historical Models

      • Hao Ge, Yin Xia, Xu Chen, Randall Berry, Ying Wu
      Pages 122-137

    6. C-WSL: Count-Guided Weakly Supervised Localization

      • Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
      Pages 155-171

    8. Product Quantization Network for Fast Image Retrieval

      • Tan Yu, Junsong Yuan, Chen Fang, Hailin Jin
      Pages 191-206

    9. Cross-Modal Hamming Hashing

      • Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
      Pages 207-223

    11. Semi-dense 3D Reconstruction with a Stereo Event Camera

      • Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza
      Pages 242-258

    12. Self-Calibrating Isometric Non-Rigid Structure-from-Motion

      • Shaifali Parashar, Adrien Bartoli, Daniel Pizarro
      Pages 259-274

    13. Semi-supervised Deep Learning with Memory

      • Yanbei Chen, Xiatian Zhu, Shaogang Gong
      Pages 275-291

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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Access this book

eBook JPY 11439
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 14299
Price includes VAT (Japan)
  • 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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