Trevor Darrell

Trevor Jackson Darrell is an American computer scientist and professor at the University of California, Berkeley. He is known for his research on computer vision and machine learning and is one of the leading experts on topics such as deep learning and explainable AI.

Darrell's group at UC Berkeley developed the Caffe deep-learning library. Provided by Wikipedia
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    Pose estimation using cascade trees by Sundberg, Patrik P. (Patrik Per), 1980-

    Published 2005
    Other Authors: “…Trevor Darrell.…”
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    Thesis
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    IDeixis : image-based deixis for recognizing locations by Yeh, Pei-Hsiu, 1978-

    Published 2005
    Other Authors: “…Trevor Darrell.…”
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    Thesis
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    Tracking with constraints in a web of sensors by Dunagan, Brian Kerry, 1980-

    Published 2005
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    Matching and compressing sequences of visual hulls by Goela, Naveen, 1981-

    Published 2005
    Other Authors: “…Trevor Darrell.…”
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    Light field appearance manifolds by Christoudias, Chris Mario, 1980-

    Published 2005
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    Untethered human motion recognition for a multimodal interface by Ko, Teresa H., 1980-

    Published 2006
    Other Authors: “…Trevor Darrell.…”
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    Thesis
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    Context-based Visual Feedback Recognition by Morency, Louis-Philippe

    Published 2006
    Other Authors: “…Trevor Darrell…”
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    Fast pedestrian detection from a moving vehicle by You, Shuang

    Published 2007
    Other Authors: “…Trevor Darrell.…”
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    Thesis
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