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Modular Action Concept Grounding in Semantic Video Prediction
Recent works in video prediction have mainly focused on passive forecasting and low-level action-conditional prediction, which sidesteps the learning of interaction between agents and objects.
Action Concept Grounding Network for Semantically-Consistent Video Generation
Recent works in self-supervised video prediction have mainly focused on passive forecasting and low-level action-conditional prediction, which sidesteps the problem of semantic learning.
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