Search Results for author: Jim Piavis

Found 2 papers, 1 papers with code

Synthetic Examples Improve Generalization for Rare Classes

no code implementations11 Apr 2019 Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona

The ability to detect and classify rare occurrences in images has important applications - for example, counting rare and endangered species when studying biodiversity, or detecting infrequent traffic scenarios that pose a danger to self-driving cars.

Few-Shot Learning Self-Driving Cars

Autonomous Thermalling as a Partially Observable Markov Decision Process (Extended Version)

1 code implementation24 May 2018 Iain Guilliard, Richard Rogahn, Jim Piavis, Andrey Kolobov

Small uninhabited aerial vehicles (sUAVs) commonly rely on active propulsion to stay airborne, which limits flight time and range.

Robotics Systems and Control

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