Computer Vision – ACCV 2012

11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I

Editors:

ISBN: 978-3-642-37330-5 (Print) 978-3-642-37331-2 (Online)

Table of contents (60 chapters)

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  1. Front Matter

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  2. Oral Session 1: Object Detection and Learning

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      Pages 1-15

      Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer

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      Pages 16-30

      Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes

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      Pages 31-44

      Human Reidentification with Transferred Metric Learning

  3. Poster Session 1: Object Detection, Learning and Matching

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      Pages 45-56

      Tell Me What You Like and I’ll Tell You What You Are: Discriminating Visual Preferences on Flickr Data

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      Pages 57-70

      Local Context Priors for Object Proposal Generation

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      Pages 71-84

      Arbitrary-Shape Object Localization Using Adaptive Image Grids

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      Pages 85-96

      Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences

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      Pages 97-110

      Class-Specific Weighted Dominant Orientation Templates for Object Detection

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      Pages 111-122

      Salient Object Detection via Color Contrast and Color Distribution

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      Pages 123-137

      Data Decomposition and Spatial Mixture Modeling for Part Based Model

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      Pages 138-151

      Appearance Sharing for Collective Human Pose Estimation

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      Pages 152-163

      Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching

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      Pages 164-175

      Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection

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      Pages 176-189

      The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

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      Pages 190-203

      Local Hypersphere Coding Based on Edges between Visual Words

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      Pages 204-217

      Spatially Local Coding for Object Recognition

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      Pages 218-231

      Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach

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      Pages 232-245

      Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets

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      Pages 246-258

      One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery

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      Pages 259-273

      Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation

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