BP06
* *Beyond Patches
* Combining Regions and Patches for Object Class Localization
* Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition
* Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions
* Example Based 3D Reconstruction from Single 2D Images
* Integrating Co-Occurrence and Spatial Contexts on Patch Based Scene Segmentation
* Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction
* Learning an Interest Operator from Human Eye Movements
* Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
* Models for Patch-Based Image Restoration
* Morse Functions for Activity Classification Using Spatiotemporal Volumes
* Reinforcement Matching Using Region Context
* Semantic-Shift for Unsupervised Object Detection
* Strangeness Based Feature Selection for Part Based Recognition
* Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion
* Wavelet-Based Approach to Image Feature Stability Assessment, A
16 for BP06
BP07
* *Beyond Patches
* Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
* Complex Salient Regions for Computer Vision Problems
* effective resolution of correlation filters applied to natural scenes, The
* Extraction of 3D Transform and Scale Invariant Patches from Range Scans
* Invariant Features of Local Textures: A rotation invariant local texture descriptor
* Modelling Objects using Distribution and Topology of Multiscale Region Pairs
* Patch-based Image Correlation with Rapid Filtering
* Scene Classification Using Bag-of-Regions Representations
* Toward A Discriminative Codebook: Codeword Selection across Multi-resolution
* Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
* Using Multiple Patches for 3D Object Recognition
12 for BP07