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  1. Chapter and Conference Paper

    A 4D Light-Field Dataset and CNN Architectures for Material Recognition

    We introduce a new light-field dataset of materials, and take advantage of the recent success of deep learning to perform material recognition on the 4D light-field. Our dataset contains 12 material categories...

    Ting-Chun Wang, Jun-Yan Zhu, Ebi Hiroaki in Computer Vision – ECCV 2016 (2016)

  2. Chapter and Conference Paper

    On Shape and Material Recovery from Motion

    We present a framework for the joint recovery of the shape and reflectance of an object with dichromatic BRDF, using motion cues. We show that four (small or differential) motions of the object, or three motio...

    Manmohan Chandraker in Computer Vision – ECCV 2014 (2014)

  3. Chapter and Conference Paper

    A Dual Theory of Inverse and Forward Light Transport

    Inverse light transport seeks to undo global illumination effects, such as interreflections, that pervade images of most scenes. This paper presents the theoretical and computational foundations for inverse li...

    Jiamin Bai, Manmohan Chandraker, Tian-Tsong Ng in Computer Vision – ECCV 2010 (2010)

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