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AssigneeDeepMind Technologies Limited
InventorsNicholas Watters, Razvan Pascanu, Peter William Battaglia, Daniel Zorn, Theophane Guillaume Weber
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A system implemented by one or more computers comprises a visual encoder component configured to receive as input data representing a sequence of image frames, in particular representing objects in a scene of the sequence, and to output a sequence of corresponding state codes, each state code comprising vectors, one for each of the objects. Each vector represents a respective position and velocity of its corresponding object. The system also comprises a dynamic predictor component configured to take as input a sequence of state codes, for example from the visual encoder, and predict a state code for a next unobserved frame. The system further comprises a state decoder component configured to convert the predicted state code, to a state, the state comprising a respective position and velocity vector for each object in the scene. This state may represent a predicted position and velocity vector for each of the objects.
A system implemented by one or more computers, the system comprising:
A method comprising:
A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:
A method for training a visual interaction network system, comprising:
Dependencies are inferred from the claim text.