close
Skip to main content
Springer Nature Link
Log in
BERJAYA

Computer Vision – ECCV 2018 Workshops

Munich, Germany, September 8-14, 2018, Proceedings, Part V

  • Conference proceedings
  • © 2019
Save conference proceedings
View saved research

Overview

Editors:
  1. Laura Leal-Taixé

    1. Technical University of Munich, Garching, Germany

  2. Stefan Roth

    1. Technische Universität Darmstadt, Darmstadt, Germany

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11133)

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.

  • 201k Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - view details

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, books and news in related subjects.

Table of contents (46 papers)

  1. Front Matter

    Pages I-XXVI
    Download chapter PDF

  2. W25 – Perceptual Image Restoration and Manipulation Workshop and Challenge

    1. Front Matter

      Pages 1-2
      Download chapter PDF

    2. Multi–scale Recursive and Perception–Distortion Controllable Image Super–Resolution

      • Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu
      Pages 3-19

    3. Bi-GANs-ST for Perceptual Image Super-Resolution

      • Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Cuihua Li
      Pages 20-34

    4. Multi-modal Spectral Image Super-Resolution

      • Fayez Lahoud, Ruofan Zhou, Sabine Süsstrunk
      Pages 35-50

    5. Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses

      • Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
      Pages 51-62

    6. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

      • Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong et al.
      Pages 63-79

    7. The Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution

      • Muhammad Waleed Gondal, Bernhard Schölkopf, Michael Hirsch
      Pages 80-97

    8. Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks

      • Thang Vu, Tung M. Luu, Chang D. Yoo
      Pages 98-113

    9. Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual Super-Resolution Network

      • Subeesh Vasu, Nimisha Thekke Madam, A. N. Rajagopalan
      Pages 114-131

    10. Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution

      • Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan
      Pages 132-149

    11. Deep Networks for Image-to-Image Translation with Mux and Demux Layers

      • Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu
      Pages 150-165

    12. CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution

      • Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool
      Pages 166-181

    13. Multiple Connected Residual Network for Image Enhancement on Smartphones

      • Jie Liu, Cheolkon Jung
      Pages 182-196

    14. Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones

      • Zheng Hui, Xiumei Wang, Lirui Deng, Xinbo Gao
      Pages 197-213

    15. Deep Residual Attention Network for Spectral Image Super-Resolution

      • Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu
      Pages 214-229

    16. Range Scaling Global U-Net for Perceptual Image Enhancement on Mobile Devices

      • Jie Huang, Pengfei Zhu, Mingrui Geng, Jiewen Ran, Xingguang Zhou, Chen Xing et al.
      Pages 230-242

    17. Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

      • Thang Vu, Cao V. Nguyen, Trung X. Pham, Tung M. Luu, Chang D. Yoo
      Pages 243-259

    18. Fast Perceptual Image Enhancement

      • Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool
      Pages 260-275

    19. PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

      • Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte
      Pages 276-287
Back to top

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

  9. Computer Vision – ECCV 2018

  10. Computer Vision – ECCV 2018

  11. Computer Vision – ECCV 2018

  12. Computer Vision – ECCV 2018

  13. Computer Vision – ECCV 2018

  14. Computer Vision – ECCV 2018

  15. Computer Vision – ECCV 2018

  16. Computer Vision – ECCV 2018

  17. Computer Vision – ECCV 2018

  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

  • Technical University of Munich, Garching, Germany

    Laura Leal-Taixé

  • Technische Universität Darmstadt, Darmstadt, Germany

    Stefan Roth

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

Bibliographic Information

Keywords

Publish with us

Policies and ethics

Back to top