Search Results - Grauman, K

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  1. 1
    Geodesic flow kernel for unsupervised domain adaptation

    Geodesic flow kernel for unsupervised domain adaptation by Boqing Gong, Yuan Shi, Fei Sha, Grauman, K.

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  2. 2
    Fast Similarity Search for Learned Metrics

    Fast Similarity Search for Learned Metrics by Kulis, B., Jain, P., Grauman, K.

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  3. 3
    Discovering important people and objects for egocentric video summarization

    Discovering important people and objects for egocentric video summarization by Yong Jae Lee, Ghosh, J., Grauman, K.

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  4. 4
    Reading between the Lines: Object Localization Using Implicit Cues from Image Tags

    Reading between the Lines: Object Localization Using Implicit Cues from Image Tags by Sung Ju Hwang, Grauman, K.

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  5. 5
    Object-Graphs for Context-Aware Visual Category Discovery

    Object-Graphs for Context-Aware Visual Category Discovery by Yong Jae Lee, Grauman, K.

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  6. 6
    The pyramid match kernel: discriminative classification with sets of image features

    The pyramid match kernel: discriminative classification with sets of image features by Grauman, K., Darrell, T.

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  7. 7
    Kernelized Locality-Sensitive Hashing

    Kernelized Locality-Sensitive Hashing by Kulis, B., Grauman, K.

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  8. 8
    Relative attributes

    Relative attributes by Parikh, D., Grauman, K.

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  9. 9
    Unsupervised Learning of Categories from Sets of Partially Matching Image Features

    Unsupervised Learning of Categories from Sets of Partially Matching Image Features by Grauman, K., Darrell, T.

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  10. 10
    Communication via eye blinks and eyebrow raises: video-based human-computer interfaces

    Communication via eye blinks and eyebrow raises: video-based human-computer interfaces by Grauman, K., Betke, M., Lombardi, J., Gips, J., Bradski, G.R.

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  11. 11
    Key-segments for video object segmentation

    Key-segments for video object segmentation by Yong Jae Lee, Jaechul Kim, Grauman, K.

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  12. 12
    Learning the easy things first: Self-paced visual category discovery

    Learning the easy things first: Self-paced visual category discovery by Yong Jae Lee, Grauman, K.

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  13. 13
    Discovering localized attributes for fine-grained recognition

    Discovering localized attributes for fine-grained recognition by Kun Duan, Parikh, D., Crandall, D., Grauman, K.

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  14. 14
    WhittleSearch: Image search with relative attribute feedback

    WhittleSearch: Image search with relative attribute feedback by Kovashka, A., Parikh, D., Grauman, K.

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  15. 15
    Reconstructing a fragmented face from a cryptographic identification protocol

    Reconstructing a fragmented face from a cryptographic identification protocol by Luong, A., Gerbush, M., Waters, B., Grauman, K.

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  16. 16
    Large-scale live active learning: Training object detectors with crawled data and crowds

    Large-scale live active learning: Training object detectors with crawled data and crowds by Vijayanarasimhan, S., Grauman, K.

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  17. 17
    Fast image search for learned metrics

    Fast image search for learned metrics by Jain, P., Kulis, B., Grauman, K.

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  18. 18
    Sharing features between objects and their attributes

    Sharing features between objects and their attributes by Sung Ju Hwang, Fei Sha, Grauman, K.

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  19. 19
    Object-graphs for context-aware category discovery

    Object-graphs for context-aware category discovery by Lee, Y J, Grauman, K

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  20. 20
    Efficient region search for object detection

    Efficient region search for object detection by Vijayanarasimhan, S., Grauman, K.

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