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Oral Session 1 Object Detection and Learning |
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Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer |
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1 | (15) |
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Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes |
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16 | (15) |
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Human Reidentification with Transferred Metric Learning |
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31 | (14) |
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Poster Session 1 Object Detection, Learning and Matching |
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Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data |
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45 | (12) |
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Local Context Priors for Object Proposal Generation |
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57 | (14) |
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Arbitrary-Shape Object Localization Using Adaptive Image Grids |
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71 | (14) |
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Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences |
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85 | (12) |
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Class-Specific Weighted Dominant Orientation Templates for Object Detection |
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97 | (14) |
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Salient Object Detection via Color Contrast and Color Distribution |
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111 | (12) |
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Data Decomposition and Spatial Mixture Modeling for Part Based Model |
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123 | (15) |
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Appearance Sharing for Collective Human Pose Estimation |
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138 | (14) |
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Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching |
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152 | (12) |
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Pradeep Krishna Yarlagadda |
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Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection |
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164 | (12) |
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The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image |
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176 | (14) |
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Local Hypersphere Coding Based on Edges between Visual Words |
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190 | (14) |
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Spatially Local Coding for Object Recognition |
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204 | (14) |
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Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach |
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218 | (14) |
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Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets |
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232 | (14) |
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One-Class. Multiple Instance Learning via Robust PCA for Common Object Discovery |
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246 | (13) |
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Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation |
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259 | (15) |
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Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction |
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274 | (15) |
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Oral Session 2 Object Recognition I |
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Grouping Active Contour Fragments for Object Recognition |
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289 | (13) |
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Detecting Partially Occluded Objects with an Implicit Shape Model Random Field |
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302 | (14) |
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Relative Forest for Attribute Prediction |
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316 | (12) |
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Discriminative Dictionary Learning with Pairwise Constraints |
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328 | (15) |
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Poster Session 2 Feature, Representation, and Recognition |
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Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition |
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343 | (15) |
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Iris Recognition Using Consistent Corner Optical Flow |
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358 | (12) |
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Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis |
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370 | (12) |
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Learning Hierarchical Bag of Words Using Naive Bayes Clustering |
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382 | (14) |
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Efficient Human Parsing Based on Sketch Representation |
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396 | (12) |
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Exclusive Visual Descriptor Quantization |
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408 | (14) |
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Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree |
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422 | (12) |
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Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds |
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434 | (12) |
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Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection |
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446 | (14) |
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Efficient and Scalable 4th-Order Match Propagation |
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460 | (14) |
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Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning |
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474 | (12) |
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Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding |
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486 | (14) |
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Linear Discriminant Analysis with Maximum Correntropy Criterion |
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500 | (12) |
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AfNet: The Affordance Network |
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512 | (12) |
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Karthik Mahesh Varadarajan |
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A Directed Graphical Model for Linear Barcode Scanning from Blurred Images |
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524 | (12) |
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A Probabilistic 3D Model Retrieval System Using Sphere Image |
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536 | (12) |
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Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes |
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548 | (15) |
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Boosting with Side Information |
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563 | (15) |
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Generalized Mutual Subspace Based Methods for Image Set Classification |
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578 | (15) |
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Oral Session 3 Segmentation and Grouping |
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Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction |
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593 | (14) |
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Joint Kernel Learning for Supervised Image Segmentation |
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607 | (15) |
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Application of Heterogenous Motion Models towards Structure Recovery from Motion |
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622 | (14) |
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Poster Session 3 Segmentation, Grouping, and Classification |
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Locality-Constrained Active Appearance Model |
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636 | (12) |
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Modeling Hidden Topics with Dual Local Consistency for Image Analysis |
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648 | (12) |
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Design of Non-Linear Discriminative Dictionaries for Image Classification |
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660 | (15) |
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Efficient Background Subtraction under Abrupt Illumination Variations |
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675 | (14) |
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Naive Bayes Image Classification: Beyond Nearest Neighbors |
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689 | (15) |
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Contextual Pooling in Image Classification |
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704 | (12) |
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Spatial Graph for Image Classification |
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716 | (14) |
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Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation |
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730 | (15) |
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Efficient Pixel-Grouping Based on Dempster's Theory of Evidence for Image Segmentation |
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745 | (15) |
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Video Segmentation with Superpixels |
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760 | (15) |
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A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation |
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775 | (15) |
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Active Learning for Interactive Segmentation with Expected Confidence Change |
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790 | (13) |
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Cross Anisotropic Cost Volume Filtering for Segmentation |
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803 | (12) |
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| Author Index |
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815 | |
