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Detection of Manipulation Action Consequences (MAC)
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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High Accuracy Optical Flow Estimation Based on a Theory for Warping
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Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
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An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
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The anthropomorphic brain: The mirror neuron system responds to human and robotic actions
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Identification of Humans Using Gait
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multiple Granularity Modeling: A Coarse-to-Fine Framework for Fine-grained Action Analysis
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Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences
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