1 code implementation • 21 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.
no code implementations • 29 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.