Li Fei

Results: 124



#Item
31Outline of object recognition / Image segmentation / Mental image / Cognitive science / Cognition / One-shot learning

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization Li Fei-Fei and Li-Jia Li Abstract We live in a richly visual world. More than one third of the

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Source URL: vision.stanford.edu

Language: English
32

Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture

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Source URL: cs231n.stanford.edu

Language: English - Date: 2016-03-10 14:12:13
    33

    Lecture 5: Training Neural Networks, Part I Fei-Fei Li & Andrej Karpathy & Justin Johnson

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    Source URL: cs231n.stanford.edu

    Language: English - Date: 2016-01-21 00:06:28
      34

      Lecture 4: Backpropagation and Neural Networks part 1 Fei-Fei Li & Andrej Karpathy & Justin Johnson

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      Source URL: cs231n.stanford.edu

      Language: English - Date: 2016-01-13 17:29:28
        35

        Lecture 11: CNNs in Practice Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture

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        Source URL: cs231n.stanford.edu

        Language: English - Date: 2016-02-18 01:01:34
          36Computer vision / Artificial intelligence / Vision / ImageNet / Outline of object recognition / LabelMe / One-shot learning / Cognitive neuroscience of visual object recognition

          Objects as Attributes for Scene Classification Li-Jia Li*, Hao Su*, Yongwhan Lim, Li Fei-Fei Computer Science Department, Stanford University Abstract. Robust low-level image features have proven to be effective represen

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          Source URL: vision.stanford.edu

          Language: English - Date: 2010-07-14 19:17:56
          37

          Lecture 7: Convolutional Neural Networks Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 1

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          Source URL: cs231n.stanford.edu

          Language: English - Date: 2016-01-27 23:43:46
            38Machine learning / Image segmentation / ImageNet / Conference on Computer Vision and Pattern Recognition / Automatic image annotation / Minimum bounding box / Pattern recognition / Object detection / Computer vision

            Best of both worlds: human-machine collaboration for object annotation Olga Russakovsky1 Li-Jia Li2 Li Fei-Fei1 1 Stanford University 2 Snapchat∗ Abstract

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            Source URL: ai.stanford.edu

            Language: English - Date: 2015-04-12 19:52:49
            39Science and technology / Mathematics / Conference on Computer Vision and Pattern Recognition / Academia / Sparse approximation / Attribute / Machine learning / Outline of object recognition / Compressed sensing

            Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao1 , Xiaoye Jiang2 , Aditya Khosla1 , Andy Lai Lin3 , Leonidas Guibas1 , and Li Fei-Fei1 1 2

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            Source URL: geometry.stanford.edu

            Language: English - Date: 2011-09-28 17:56:07
            40Color space / Navigation / Radio / RGB color model / Humancomputer interaction / Indoor positioning system / RGB

            RGB-W: When Vision Meets Wireless Alexandre Alahi Albert Haque Li Fei-Fei Computer Science Department, Stanford University {alahi,ahaque,feifeili}@cs.stanford.edu

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            Source URL: vision.stanford.edu

            Language: English - Date: 2015-10-04 22:49:44
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