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AI and systems capabilities along multiple dimensions, including: (a) developing a deep semantic understanding of 3D physical spaces, including the location and relationship of various objects located
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the support to accessing the content of graph. Methodologically, we imagine extending the previous steps to consider tasks such as contributing, maintaining, validating or semantically enriching a knowledge
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reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim to revolutionize the research field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
at improving how researchers interact with complex data and analysis workflows. Potential project areas include developing semantic search capabilities to help users efficiently locate relevant datasets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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+ benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions with