Výsledky vyhledávání - "2013 IEEE Conference on Computer Vision and Pattern Recognition"

  1. 1

    POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation Autor Berg, Thomas, Belhumeur, Peter N.

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  2. 2

    Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection Autor Lim, Joseph J., Zitnick, C. Lawrence, Dollar, Piotr

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  3. 3

    Motionlets: Mid-level 3D Parts for Human Motion Recognition Autor LiMin Wang, Yu Qiao, Xiaoou Tang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  4. 4

    Online Object Tracking: A Benchmark Autor Yi Wu, Jongwoo Lim, Ming-Hsuan Yang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  5. 5

    Saliency Detection via Graph-Based Manifold Ranking Autor Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  6. 6

    Hierarchical Saliency Detection Autor Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  7. 7

    Supervised Descent Method and Its Applications to Face Alignment Autor Xuehan Xiong, De la Torre, Fernando

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  8. 8

    Deep Convolutional Network Cascade for Facial Point Detection Autor Yi Sun, Xiaogang Wang, Xiaoou Tang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  9. 9

    Unnatural L0 Sparse Representation for Natural Image Deblurring Autor Li Xu, Shicheng Zheng, Jiaya Jia

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  10. 10

    Salient Object Detection: A Discriminative Regional Feature Integration Approach Autor Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng, Shipeng Li

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  11. 11

    Multi-source Multi-scale Counting in Extremely Dense Crowd Images Autor Idrees, Haroon, Saleemi, Imran, Seibert, Cody, Shah, Mubarak

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  12. 12

    Selective Transfer Machine for Personalized Facial Action Unit Detection Autor Chu, Wen-Sheng, De la Torre, Fernando, Cohn, Jeffery F.

    ISSN: 1063-6919, 1063-6919
    Vydáno: United States IEEE 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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  13. 13

    Unsupervised Salience Learning for Person Re-identification Autor Rui Zhao, Wanli Ouyang, Xiaogang Wang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  14. 14

    Label-Embedding for Attribute-Based Classification Autor Akata, Zeynep, Perronnin, Florent, Harchaoui, Zaid, Schmid, Cordelia

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  15. 15

    Pedestrian Detection with Unsupervised Multi-stage Feature Learning Autor Sermanet, Pierre, Kavukcuoglu, Koray, Chintala, Soumith, Lecun, Yann

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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 Autor Oreifej, Omar, Zicheng Liu

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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 Autor Dong Chen, Xudong Cao, Fang Wen, Jian Sun

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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  18. 18

    Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Autor Shotton, Jamie, Glocker, Ben, Zach, Christopher, Izadi, Shahram, Criminisi, Antonio, Fitzgibbon, Andrew

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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 Autor Dansereau, Donald G., Pizarro, Oscar, Williams, Stefan B.

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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 Autor Wei Li, Xiaogang Wang

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 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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