STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
From tactical fortresses to B Rush simulators, Counter-Strike’s sprawling pool of competitive maps can offer something for every player. There’s over a dozen maps in the game itself, with thousands ...
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Abstract: Active simultaneous localization and mapping (SLAM) is the problem of planning and controlling the motion of a robot to build the most accurate and complete model of the surrounding ...
Robotic pool cleaners promise convenience, but most still require a fair amount of attention. You still need to empty filters, recharge batteries, and occasionally pull the robot out of the water for ...
Abstract: The deep learning revolution has strongly impacted low-level image processing tasks such as style/domain transfer, enhancement/restoration, and visual ...