Výsledky vyhledávání - "2013 IEEE Conference on Computer Vision and Pattern Recognition"
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POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…From a set of images in a particular domain, labeled with part locations and class, we present a method to automatically learn a large and diverse set of…”
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Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We propose a novel approach to both learning and detecting local contour-based representations for mid-level features. Our features, called sketch tokens, are…”
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Motionlets: Mid-level 3D Parts for Human Motion Recognition
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…This paper proposes motionlet, a mid-level and spatiotemporal part, for human motion recognition. Motion let can be seen as a tight cluster in motion and…”
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Online Object Tracking: A Benchmark
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Object tracking is one of the most important components in numerous applications of computer vision. While much progress has been made in recent years with…”
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Saliency Detection via Graph-Based Manifold Ranking
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Most existing bottom-up methods measure the foreground saliency of a pixel or region based on its contrast within a local context or the entire image, whereas…”
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Hierarchical Saliency Detection
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…When dealing with objects with complex structures, saliency detection confronts a critical problem - namely that detection accuracy could be adversely affected…”
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Supervised Descent Method and Its Applications to Face Alignment
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Many computer vision problems (e.g., camera calibration, image alignment, structure from motion) are solved through a nonlinear optimization method. It is…”
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Deep Convolutional Network Cascade for Facial Point Detection
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We propose a new approach for estimation of the positions of facial key points with three-level carefully designed convolutional networks. At each level, the…”
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Unnatural L0 Sparse Representation for Natural Image Deblurring
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We show in this paper that the success of previous maximum a posterior (MAP) based blur removal methods partly stems from their respective intermediate steps,…”
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Salient Object Detection: A Discriminative Regional Feature Integration Approach
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Salient object detection has been attracting a lot of interest, and recently various heuristic computational models have been designed. In this paper, we…”
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Multi-source Multi-scale Counting in Extremely Dense Crowd Images
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We propose to leverage multiple sources of information to compute an estimate of the number of individuals present in an extremely dense crowd visible in a…”
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Selective Transfer Machine for Personalized Facial Action Unit Detection
ISSN: 1063-6919, 1063-6919Vydáno: United States IEEE 01.01.2013Vydáno v Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (01.01.2013)“…Automatic facial action unit (AFA) detection from video is a long-standing problem in facial expression analysis. Most approaches emphasize choices of features…”
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Unsupervised Salience Learning for Person Re-identification
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Human eyes can recognize person identities based on some small salient regions. However, such valuable salient information is often hidden when computing…”
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Label-Embedding for Attribute-Based Classification
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Attributes are an intermediate representation, which enables parameter sharing between classes, a must when training data is scarce. We propose to view…”
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Pedestrian Detection with Unsupervised Multi-stage Feature Learning
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Pedestrian detection is a problem of considerable practical interest. Adding to the list of successful applications of deep learning methods to vision, we…”
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HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We present a new descriptor for activity recognition from videos acquired by a depth sensor. Previous descriptors mostly compute shape and motion features…”
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Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Making a high-dimensional (e.g., 100K-dim) feature for face recognition seems not a good idea because it will bring difficulties on consequent training,…”
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Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…We address the problem of inferring the pose of an RGB-D camera relative to a known 3D scene, given only a single acquired image. Our approach employs a…”
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Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…Plenoptic cameras are gaining attention for their unique light gathering and post-capture processing capabilities. We describe a decoding, calibration and…”
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Locally Aligned Feature Transforms across Views
ISSN: 1063-6919, 1063-6919Vydáno: IEEE 01.06.2013Vydáno v 2013 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2013)“…In this paper, we propose a new approach for matching images observed in different camera views with complex cross-view transforms and apply it to person…”
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