Skip to main content
SpringerLink
Log in
Book cover

Computer Vision -- ECCV 2014

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. David Fleet

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Tomas Pajdla

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Bernt Schiele

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Tinne Tuytelaars

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8693)

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.

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 PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (54 papers)

  1. Poster Session 5 (continued)

    1. Towards Unified Object Detection and Semantic Segmentation

      • Jian Dong, Qiang Chen, Shuicheng Yan, Alan Yuille
      Pages 299-314

    2. Foreground Consistent Human Pose Estimation Using Branch and Bound

      • Jens Puwein, Luca Ballan, Remo Ziegler, Marc Pollefeys
      Pages 315-330

    3. Human Pose Estimation with Fields of Parts

      • Martin Kiefel, Peter Vincent Gehler
      Pages 331-346

    4. Unsupervised Video Adaptation for Parsing Human Motion

      • Haoquan Shen, Shoou-I Yu, Yi Yang, Deyu Meng, Alexander Hauptmann
      Pages 347-360

    5. Training Object Class Detectors from Eye Tracking Data

      • Dim P. Papadopoulos, Alasdair D. F. Clarke, Frank Keller, Vittorio Ferrari
      Pages 361-376

    6. Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects

      • Ehud Barnea, Ohad Ben-Shahar
      Pages 377-390

    7. Edge Boxes: Locating Object Proposals from Edges

      • C. Lawrence Zitnick, Piotr Dollár
      Pages 391-405

    8. Training Deformable Object Models for Human Detection Based on Alignment and Clustering

      • Benjamin Drayer, Thomas Brox
      Pages 406-420

    9. Predicting Actions from Static Scenes

      • Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic
      Pages 421-436

    10. Exploiting Privileged Information from Web Data for Image Categorization

      • Wen Li, Li Niu, Dong Xu
      Pages 437-452

    11. Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling

      • Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham
      Pages 453-467

    12. Discriminatively Trained Dense Surface Normal Estimation

      • L’ubor Ladický, Bernhard Zeisl, Marc Pollefeys
      Pages 468-484

    13. Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects

      • Qian Xie, Ian Jermyn, Sebastian Kurtek, Anuj Srivastava
      Pages 485-499

    14. Non-associative Higher-Order Markov Networks for Point Cloud Classification

      • Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
      Pages 500-515

    15. Learning Where to Classify in Multi-view Semantic Segmentation

      • Hayko Riemenschneider, András Bódis-Szomorú, Julien Weissenberg, Luc Van Gool
      Pages 516-532

    16. Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding

      • Timo Scharwächter, Markus Enzweiler, Uwe Franke, Stefan Roth
      Pages 533-548

    17. Sparse Dictionaries for Semantic Segmentation

      • Lingling Tao, Fatih Porikli, René Vidal
      Pages 549-564

    18. Video Action Detection with Relational Dynamic-Poselets

      • Limin Wang, Yu Qiao, Xiaoou Tang
      Pages 565-580

    19. Action Recognition with Stacked Fisher Vectors

      • Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng
      Pages 581-595

    20. A Discriminative Model with Multiple Temporal Scales for Action Prediction

      • Yu Kong, Dmitry Kit, Yun Fu
      Pages 596-611
Back to top

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

Keywords

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.

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

Publish with us

Policies and ethics

Back to top

Search

Navigation