no code implementations • 29 Apr 2024 • Mingi Jeong, Arihant Chadda, Ziang Ren, Luyang Zhao, Haowen Liu, Monika Roznere, Aiwei Zhang, Yitao Jiang, Sabriel Achong, Samuel Lensgraf, Alberto Quattrini Li
This paper introduces the first publicly accessible multi-modal perception dataset for autonomous maritime navigation, focusing on in-water obstacles within the aquatic environment to enhance situational awareness for Autonomous Surface Vehicles (ASVs).
no code implementations • 18 Apr 2024 • Ziang Ren, Samuel Lensgraf, Alberto Quattrini Li
Accurate localization is fundamental for autonomous underwater vehicles (AUVs) to carry out precise tasks, such as manipulation and construction.
no code implementations • 5 Nov 2021 • Ruiyang Qin, Haozheng Luo, Zheheng Fan, Ziang Ren
In this paper, we proposed a BERT-based embedding Seq2Seq model that encodes idiomatic expressions and considers them in both global and local context.
no code implementations • 10 Feb 2021 • Ren Liu, Ziang Ren
An important aspect in reducing the impact of the pandemic is to control its spread.