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Computer Vision -- ECCV 2014

13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. David Fleet

    1. Department of Computer Science, University of Toronto, Toronto, Canada

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  2. Tomas Pajdla

    1. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

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  3. Bernt Schiele

    1. Max-Planck-Institut für Informatik, Saarbrücken, Germany

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  4. Tinne Tuytelaars

    1. ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8694)

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 2014.

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About this book

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

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Keywords

Table of contents (52 papers)

  1. Front Matter

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  2. Poster Session 6 (continued)

    1. All-In-Focus Synthetic Aperture Imaging

      • Tao Yang, Yanning Zhang, Jingyi Yu, Jing Li, Wenguang Ma, Xiaomin Tong et al.
      Pages 1-15

    2. Photo Uncrop

      • Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, Steven M. Seitz
      Pages 16-31

    3. Solving Square Jigsaw Puzzles with Loop Constraints

      • Kilho Son, James Hays, David B. Cooper
      Pages 32-46

    4. Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features

      • Yunsu Bok, Hae-Gon Jeon, In So Kweon
      Pages 47-61

    5. Spatio-temporal Matching for Human Detection in Video

      • Feng Zhou, Fernando De la Torre
      Pages 62-77

    6. Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets

      • Brandon M. Smith, Li Zhang
      Pages 78-93

    7. Facial Landmark Detection by Deep Multi-task Learning

      • Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang
      Pages 94-108

    8. Joint Cascade Face Detection and Alignment

      • Dong Chen, Shaoqing Ren, Yichen Wei, Xudong Cao, Jian Sun
      Pages 109-122

    9. Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos

      • Shijie Xiao, Mingkui Tan, Dong Xu
      Pages 123-138

    10. Crowd Tracking with Dynamic Evolution of Group Structures

      • Feng Zhu, Xiaogang Wang, Nenghai Yu
      Pages 139-154

    11. Tracking Using Multilevel Quantizations

      • Zhibin Hong, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao
      Pages 155-171

    12. Occlusion and Motion Reasoning for Long-Term Tracking

      • Yang Hua, Karteek Alahari, Cordelia Schmid
      Pages 172-187

    13. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

      • Jianming Zhang, Shugao Ma, Stan Sclaroff
      Pages 188-203

    14. Robust Motion Segmentation with Unknown Correspondences

      • Pan Ji, Hongdong Li, Mathieu Salzmann, Yuchao Dai
      Pages 204-219

    15. Monocular Multiview Object Tracking with 3D Aspect Parts

      • Yu Xiang, Changkyu Song, Roozbeh Mottaghi, Silvio Savarese
      Pages 220-235

    16. Modeling Blurred Video with Layers

      • Jonas Wulff, Michael Julian Black
      Pages 236-252

    17. Efficient Image and Video Co-localization with Frank-Wolfe Algorithm

      • Armand Joulin, Kevin Tang, Li Fei-Fei
      Pages 253-268

    18. Non-parametric Higher-Order Random Fields for Image Segmentation

      • Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela
      Pages 269-284

    19. Co-Sparse Textural Similarity for Interactive Segmentation

      • Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers
      Pages 285-301
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Other volumes

  1. Computer Vision – ECCV 2014

  2. Computer Vision – ECCV 2014

  3. Computer Vision – ECCV 2014

  4. Computer Vision – ECCV 2014

  5. Computer Vision – ECCV 2014

  6. Computer Vision – ECCV 2014

  7. Computer Vision – ECCV 2014

  8. Computer Vision - ECCV 2014 Workshops

  9. Computer Vision - ECCV 2014 Workshops

  10. Computer Vision - ECCV 2014 Workshops

  11. Computer Vision - ECCV 2014 Workshops

Editors and Affiliations

  • Department of Computer Science, University of Toronto, Toronto, Canada

    David Fleet

  • Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

    Tomas Pajdla

  • Max-Planck-Institut für Informatik, Saarbrücken, Germany

    Bernt Schiele

  • ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium

    Tinne Tuytelaars

Bibliographic Information

  • Book Title: Computer Vision -- ECCV 2014

  • Book Subtitle: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI

  • Editors: David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-10599-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-10598-7Published: 22 September 2014

  • eBook ISBN: 978-3-319-10599-4Published: 14 August 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 832

  • Number of Illustrations: 351 b/w illustrations

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics

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