Table of contents

  1. Front Matter
    Pages I-XXIII
  2. W04 – Brave New Ideas For Motion Representations (Continued)

    1. Front Matter
      Pages 1-2
    2. Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis
      Pages 3-10
    3. Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka
      Pages 11-17
    4. Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh
      Pages 18-24
    5. Giovanni Cuffaro, Federico Becattini, Claudio Baecchi, Lorenzo Seidenari, Alberto Del Bimbo
      Pages 25-31
    6. Agne Grinciunaite, Amogh Gudi, Emrah Tasli, Marten den Uyl
      Pages 32-39
    7. Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager
      Pages 47-54
    8. S. L. Pintea, J. C. van Gemert
      Pages 55-64
  3. W06 – Geometry Meets Deep Learning

    1. Front Matter
      Pages 65-66
    2. Ankur Handa, Michael Bloesch, Viorica Pătrăucean, Simon Stent, John McCormac, Andrew Davison
      Pages 67-82
    3. Tommaso Cavallari, Luigi Di Stefano
      Pages 83-99
    4. Karel Lenc, Andrea Vedaldi
      Pages 100-117
    5. Ludovico Minto, Giampaolo Pagnutti, Pietro Zanuttigh
      Pages 118-132
    6. Achkan Salehi, Vincent Gay-Bellile, Steve Bourgeois, Frédéric Chausse
      Pages 133-142
    7. Aaron S. Jackson, Michel Valstar, Georgios Tzimiropoulos
      Pages 143-155
    8. Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli
      Pages 170-185
    9. Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, Yichen Wei
      Pages 186-201

Other volumes

  1. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I
  2. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II
  3. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III
  4. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV
  5. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V
  6. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI
  7. 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII
  8. 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII
  9. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I
  10. Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II
  11. Computer Vision – ECCV 2016 Workshops
    Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III

About these proceedings

Introduction

The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.

The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.

27 workshops from 44 workshops proposals were selected for inclusion in the proceedings. These address the following themes: Datasets and Performance Analysis in Early Vision; Visual Analysis of Sketches; Biological and Artificial Vision; Brave New Ideas for Motion Representations; Joint ImageNet and MS COCO Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene Understanding and Autonomous Driving; Challenge on Automatic Personality Analysis; BioImage Computing; Benchmarking Multi-Target Tracking: MOTChallenge; Assistive Computer Vision and Robotics; Transferring and Adapting Source Knowledge in Computer Vision; Recovering 6D Object Pose; Robust Reading; 3D Face Alignment in the Wild and Challenge; Egocentric Perception, Interaction and Computing; Local Features: State of the Art, Open Problems and Performance Evaluation; Crowd Understanding; Video Segmentation; The Visual Object Tracking Challenge Workshop; Web-scale Vision and Social Media; Computer Vision for Audio-visual Media; Computer VISion for ART Analysis; Virtual/Augmented Reality for Visual Artificial Intelligence; Joint Workshop on Storytelling with Images and Videos and Large Scale Movie Description and Understanding Challenge.

Keywords

computer vision digital heritage image database semantic embedding topic modeling active safety systems adaptive learning context-based analysis deep learning dimensionality reduction face recognition GPU mobile applications multimodal embedding neural networks scene understanding semi-supervised learning text detection video segmentation wearable devices

Editors and affiliations

  • Gang Hua
    • 1
  • Hervé Jégou
    • 2
  1. 1.Microsoft Research AsiaBeijingChina
  2. 2.Facebook AI Research (FAIR)Menlo ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49409-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-49408-1
  • Online ISBN 978-3-319-49409-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book