Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.

Abstract: A collaborative content management system receives, from a client device having access to an account associated with the collaborative content management system, a request for versions of a collaborative document managed by the collaborative content management system. The collaborative content management system accesses a set of versions of the collaborative document. The set of versions includes at least one offline version. The at least one offline version was created on a client device having access to the collaborative document while the client device was disconnected from the collaborative content management system and synchronized to the collaborative content management system when the client device is connected to the collaborative content management system. The collaborative content management system generates a user interface providing the set of versions.

Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.

Abstract: A collaborative content management system receives, from a client device having access to an account associated with the collaborative content management system, a request for versions of a collaborative document managed by the collaborative content management system. The collaborative content management system accesses a set of versions of the collaborative document. The set of versions includes at least one offline version. The at least one offline version was created on a client device having access to the collaborative document while the client device was disconnected from the collaborative content management system and synchronized to the collaborative content management system when the client device is connected to the collaborative content management system. The collaborative content management system generates a user interface providing the set of versions.