An ASP-based hybrid method enumerates geometrically admissible motion behaviors as stable models for environment-constrained trajectory computation in dynamic domains such as autonomous driving.
ASP-driven visual commonsense: a general framework for reasoning about embodied interaction in the wild
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A framework mines spatial, functional, and qualitative commonsense constraints from SGG training data and uses them to correct ranked predictions at inference, yielding consistent gains on three benchmarks.
citing papers explorer
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Reasonable Motion: A General ASP Foundation for Environment Constrained Movement Trajectory Computation
An ASP-based hybrid method enumerates geometrically admissible motion behaviors as stable models for environment-constrained trajectory computation in dynamic domains such as autonomous driving.
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Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
A framework mines spatial, functional, and qualitative commonsense constraints from SGG training data and uses them to correct ranked predictions at inference, yielding consistent gains on three benchmarks.