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Found 6 papers, 1 papers with code
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Current deep learning based autonomous driving approaches yield impressive results also leading to in-production deployment in certain controlled scenarios.
Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices
In this paper, a model is presented to extract statistical summaries to characterize the repetition of a cyclic body action, for instance a gym exercise, for the purpose of checking the compliance of the observed action to a template one and highlighting the parts of the action that are not correctly executed (if any).
Neuromorphic Event-based Facial Expression Recognition
Recently, event cameras have shown large applicability in several computer vision fields especially concerning tasks that require high temporal resolution.
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving
We feed the state of the vehicle along with the representation of the environment as a special token of the transformer and propagate it throughout the network.
Neuromorphic Valence and Arousal Estimation
Recognizing faces and their underlying emotions is an important aspect of biometrics.
Neuromorphic Face Analysis: a Survey
Neuromorphic sensors, also known as event cameras, are a class of imaging devices mimicking the function of biological visual systems.
