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Computer Vision – ECCV 2018 Workshops

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

  • Conference proceedings
  • © 2019
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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 11130)

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 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.

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Table of contents (54 papers)

  1. Front Matter

    Pages I-XXV
    Download chapter PDF

  2. W07 – 2nd International Workshop on Computer Vision for UAVs

    1. Front Matter

      Pages 1-2
      Download chapter PDF

    2. Real-Time Embedded Computer Vision on UAVs

      • Kristof Van Beeck, Tinne Tuytelaars, Davide Scarramuza, Toon Goedemé
      Pages 3-10

    3. Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation

      • Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
      Pages 11-29

    4. Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning

      • Saurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, Feroz Ali
      Pages 30-42

    5. SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data

      • Alina Marcu, Dragoş Costea, Vlad Licăreţ, Mihai Pîrvu, Emil Sluşanschi, Marius Leordeanu
      Pages 43-58

    6. Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs

      • Stefan Milz, Tobias Rüdiger, Sebastian Süss
      Pages 59-72

    7. Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight

      • Alexander Hardt-Stremayr, Matthias Schörghuber, Stephan Weiss, Martin Humenberger
      Pages 73-87

    8. ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery

      • Seyed Majid Azimi
      Pages 88-99

    9. Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones

      • Hazal Lezki, I. Ahu Ozturk, M. Akif Akpinar, M. Kerim Yucel, K. Berker Logoglu, Aykut Erdem et al.
      Pages 100-116

    10. UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition

      • Asanka G. Perera, Yee Wei Law, Javaan Chahl
      Pages 117-128

    11. ChangeNet: A Deep Learning Architecture for Visual Change Detection

      • Ashley Varghese, Jayavardhana Gubbi, Akshaya Ramaswamy, P. Balamuralidhar
      Pages 129-145

  3. W08 – 5th Transferring and Adapting Source Knowledge in Computer Vision and 2nd VisDA Challenge

    1. Front Matter

      Pages 147-149
      Download chapter PDF

    2. DeeSIL: Deep-Shallow Incremental Learning

      • Eden Belouadah, Adrian Popescu
      Pages 151-157

    3. Dynamic Adaptation on Non-stationary Visual Domains

      • Sindi Shkodrani, Michael Hofmann, Efstratios Gavves
      Pages 158-171

    4. Domain Adaptive Semantic Segmentation Through Structure Enhancement

      • Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan
      Pages 172-179

    5. Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks

      • Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò
      Pages 180-189

    6. Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations

      • Maxime Devanne, Sao Mai Nguyen
      Pages 190-197

    7. Model Selection for Generalized Zero-Shot Learning

      • Hongguang Zhang, Piotr Koniusz
      Pages 198-204

  4. W09 – PoseTrack Challenge: Articulated People Tracking in the Wild

    1. Front Matter

      Pages 205-207
      Download chapter PDF
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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

  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

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