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Found 6 papers, 1 papers with code
NVAutoNet: Fast and Accurate 360$^{\circ}$ 3D Visual Perception For Self Driving
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles.
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
The volume of data to handle, and still elusive need to have the registration occur fully reliably and fully automatically, mean there is a need to innovate further.
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
In particular, we study endowing the Boolean cube with the Bernoulli measure and performing biased (as opposed to uniform) sampling.
Indoor Semantic Scene Understanding using Multi-modality Fusion
In this work, we present a semantic scene understanding pipeline that fuses 2D and 3D detection branches to generate a semantic map of the environment.
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
In this paper, we introduce a novel unsupervised learning framework that learns to directly solve robust model fitting.
Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
In this paper, we introduce a novel unsupervised learning framework that learns to directly solve robust model fitting.
