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Found 4 papers, 1 papers with code
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
Instead, we shift the paradigm to have the planner query occupancy at relevant spatio-temporal points, restricting the computation to those regions of interest.
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting
We present HIPNet, a neural implicit pose network trained on multiple subjects across many poses.
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
Our model exploits spatio-temporal relationships across multiple LiDAR sweeps to reduce the bitrate of both geometry and intensity values.
CoinPress: Practical Private Mean and Covariance Estimation
We present simple differentially private estimators for the mean and covariance of multivariate sub-Gaussian data that are accurate at small sample sizes.
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