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Feint in Multi-Player Games
This paper introduces the first formalization, implementation and quantitative evaluation of Feint in Multi-Player Games.
Succinct Compression: Near-Optimal and Lossless Compression of Deep Neural Networks during Inference Runtime
However, those techniques do not keep the compressed representation during inference runtime, which incurs significant overheads in terms of both performance and space consumption.
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research
Finally, we discuss related issues when building such a database and our future directions in the context of BROOK.
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