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Found 3 papers, 1 papers with code
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
To this end, we conceive a novel distillation strategy that allows a knowledge transfer from a teacher network to a student one, the latter fed with fewer observations (just two ones).
Surface Impedance Modeling of All-Dielectric Metasurfaces
We develop a simple and reliable analytical model that allows describing the electromagnetic response of all-dielectric metasurfaces consisting of a single-layer array of high-permittivity spherical particles.
Classical Physics Optics
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
Understanding human motion behaviour is a critical task for several possible applications like self-driving cars or social robots, and in general for all those settings where an autonomous agent has to navigate inside a human-centric environment.
Ranked #1 on
Trajectory Prediction
on STATS SportVu NBA [ATK]
Human motion prediction
Multi-future Trajectory Prediction
+3
