Computer Vision – ECCV 2016 Workshops

Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I

  • Gang Hua
  • Hervé Jégou
Conference proceedings ECCV 2016

DOI: 10.1007/978-3-319-46604-0

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9913)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. W02 – Visual Analysis of Sketches

    1. Front Matter
      Pages 1-1
    2. Chunlei Peng, Nannan Wang, Xinbo Gao, Jie Li
      Pages 3-18
    3. Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang et al.
      Pages 19-34
    4. Ashutosh Mishra, Shyam Nandan Rai, Anand Mishra, C. V. Jawahar
      Pages 35-47
    5. Xin Lu, Neela Sawant, Michelle G. Newman, Reginald B. Adams Jr., James Z. Wang, Jia Li
      Pages 48-63
    6. Yuqian Zhang, Nannan Wang, Shengchuan Zhang, Jie Li, Xinbo Gao
      Pages 64-77
  3. W08 – Computer Vision for Road Scene Understanding and Autonomous Driving

    1. Front Matter
      Pages 79-79
    2. Emilio J. Almazan, Yiming Qian, James H. Elder
      Pages 96-108
    3. Xuejian Rong, Chucai Yi, Yingli Tian
      Pages 109-121
    4. Kristof Van Beeck, Toon Goedemé
      Pages 122-135
    5. Shao-Pin Chang, Jui-Ting Chien, Fu-En Wang, Shang-Da Yang, Hwann-Tzong Chen, Min Sun
      Pages 136-148
    6. Sounak Bhattacharya, Lixin Fan, Pouria Babahajiani, Moncef Gabbouj
      Pages 192-204
  4. W10 – BioImage Computing

    1. Front Matter
      Pages 215-215

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. Computer Vision – ECCV 2016 Workshops
    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. 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.

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

  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46603-3
  • Online ISBN 978-3-319-46604-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349