Search Results for author: Younghwa Jung

Found 2 papers, 1 papers with code

LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry

1 code implementation21 Mar 2023 Donghwi Jung, Jae-Kyung Cho, Younghwa Jung, Soohyun Shin, Seong-Woo Kim

We propose a deep learning-based LiDAR odometry estimation method called LoRCoN-LO that utilizes the long-term recurrent convolutional network (LRCN) structure.

Learning Neural Processes on the Fly

no code implementations29 Sep 2021 Younghwa Jung, Zhenyuan Yuan, Seung-Woo Seo, Minghui Zhu, Seong-Woo Kim

In this paper, we propose a new algorithm called anytime neural processes that combines DNNs and SNNs and can work in both low-data and high-data regimes.


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