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    Towards natural human-AI interactions in vision and language 

    Chandrasekaran, Arjun (Georgia Institute of Technology, 2019-11-07)
    Inter-human interaction is a rich form of communication. Human interactions typically leverage a good theory of mind, involve pragmatics, story-telling, humor, sarcasm, empathy, sympathy, etc. Recently, we have seen a ...
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    Encoding 3D contextual information for dynamic scene understanding 

    Hickson, Steven D. (Georgia Institute of Technology, 2020-04-27)
    This thesis aims to demonstrate how using 3D cues improves semantic labeling and object classification. Specifically, we will consider depth, surface normals, object classification, and pixel-wise semantic labeling in this ...
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    Computational methods for creative inspiration in thematic typography and dance 

    Tendulkar, Purva Milind (Georgia Institute of Technology, 2020-08-04)
    As progress in technology continues, there is a need to adapt and upscale tools used in artistic and creative processes. This can either take the form of generative tools which can provide inspiration to artists, human-AI ...

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    AuthorChandrasekaran, Arjun (1)Hickson, Steven D. (1)Tendulkar, Purva Milind (1)Subject
    AI (3)
    Computer vision (2)Neural networks (2)3D (1)Context (1)Creativity (1)Dance (1)Deep learning (1)Depth estimation (1)Explainable AI (1)... View MoreDate Issued2020 (2)2019 (1)Has File(s)Yes (3)
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