Search Results for author: YiLun Wu

Found 3 papers, 3 papers with code

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

1 code implementation24 Nov 2022 YiLun Wu, Federico Paredes-Vallés, Guido C. H. E. de Croon

Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, rendering them unsuitable for robotic applications with limited compute and energy budget.

Deblurring Event-based Optical Flow +1

ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms

1 code implementation15 Oct 2020 YiLun Wu

Meta-learning or few-shot learning, has been successfully applied in a wide range of domains from computer vision to reinforcement learning.

Few-Shot Learning Reinforcement Learning (RL)

The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education

1 code implementation7 Oct 2018 YiLun Wu, Xintong Du, Rikky Duivenvoorden, Jonathan Kelly

In particular, the details in this paper and the available open-source materials should enable learners to gain an understanding of aerodynamics, flight control, state estimation, software design, and simulation, while experimenting with a unique aerial robot.


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