Search Results for author: YiLun Wu

Found 3 papers, 2 papers with code

Rethinking Event-based Optical Flow: Iterative Deblurring as an Alternative to Correlation Volumes

no code implementations24 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, at the same time prohibiting them from estimating high-resolution flow.

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

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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