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Found 5 papers, 0 papers with code
Perceptual Context in Cognitive Hierarchies
Cognition does not only depend on bottom-up sensor feature abstraction, but also relies on contextual information being passed top-down.
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition
Then the knowledge distillation method is applied to transfer the learned representation from the teacher model to a simpler DMFT student model, which consists of a lite version of the multi-modal spatial-temporal transformer module, to produce the results.
Online Learning and Planning in Cognitive Hierarchies
Complex robot behaviour typically requires the integration of multiple robotic and Artificial Intelligence (AI) techniques and components.
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
We propose Attention-aware Social Graph Transformer Networks for multi-modal trajectory prediction.
Human-Centric Goal Reasoning with Ripple-Down Rules
ActorSim is a goal reasoning framework developed at the Naval Research Laboratory.
