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  • Conference proceedings
  • © 2018

Computer Vision – ECCV 2018

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11209)

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 (48 papers)

  1. Front Matter

    Pages I-XXX
  2. Poster Session

    1. Front Matter

      Pages 1-1
    2. Snap Angle Prediction for 360\(^{\circ }\) Panoramas

      • Bo Xiong, Kristen Grauman
      Pages 3-20
    3. Unsupervised Holistic Image Generation from Key Local Patches

      • Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh
      Pages 21-37
    4. Neural Stereoscopic Image Style Transfer

      • Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang
      Pages 56-71
    5. Transductive Centroid Projection for Semi-supervised Large-Scale Recognition

      • Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang
      Pages 72-89
    6. Recycle-GAN: Unsupervised Video Retargeting

      • Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh
      Pages 122-138
    7. Fine-Grained Video Categorization with Redundancy Reduction Attention

      • Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding et al.
      Pages 139-155
    8. Open Set Domain Adaptation by Backpropagation

      • Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada
      Pages 156-171
    9. Deep Feature Pyramid Reconfiguration for Object Detection

      • Tao Kong, Fuchun Sun, Wenbing Huang, Huaping Liu
      Pages 172-188
    10. Goal-Oriented Visual Question Generation via Intermediate Rewards

      • Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel
      Pages 189-204
    11. DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model

      • Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
      Pages 205-221
    12. Estimating the Success of Unsupervised Image to Image Translation

      • Sagie Benaim, Tomer Galanti, Lior Wolf
      Pages 222-238
    13. Parallel Feature Pyramid Network for Object Detection

      • Seung-Wook Kim, Hyong-Keun Kook, Jee-Young Sun, Mun-Cheon Kang, Sung-Jea Ko
      Pages 239-256
    14. Joint Map and Symmetry Synchronization

      • Yifan Sun, Zhenxiao Liang, Xiangru Huang, Qixing Huang
      Pages 257-275
    15. MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

      • Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap et al.
      Pages 276-293
    16. Rethinking the Form of Latent States in Image Captioning

      • Bo Dai, Deming Ye, Dahua Lin
      Pages 294-310

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.

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

Buy it now

Buying options

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