MingFang Chang

2 accepted papers

2023

Neural Radiance Field with LiDAR maps

MingFang Chang, Akash Sharma, Michael Kaess, Simon Lucey

ICCV 2023poster

We address outdoor Neural Radiance Fields (NeRF) with LiDAR maps. Existing NeRF methods usually require specially collected hypersampled source views and do not perform well with the open source camera-LiDAR datasets - significantly limiting the approach's practical utility. In this paper, we demons…

Cited by 10 PDF ↗Scholar ↗

2018

Deep Component Analysis via Alternating Direction Neural Networks

Calvin Murdock, MingFang Chang, Simon Lucey

ECCV 2018poster

Despite a lack of theoretical understanding, deep neural networks have achieved unparalleled performance in a wide range of applications. On the other hand, shallow representation learning with component analysis is associated with rich intuition and theory, but smaller capacity often limits its use…

Cited by 24 Source ↗PDF ↗Scholar ↗