1 code implementation • 27 Feb 2023 • Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang
In this paper, we propose a novel Eikonal formulation that conditions the implicit representation on localized shape priors which function as dense boundary value constraints, and demonstrate it works on SemanticKITTI and SemanticPOSS.
no code implementations • 14 Nov 2022 • Zirui Wu, Yuantao Chen, Runyi Yang, Zhenxin Zhu, Chao Hou, Yongliang Shi, Hao Zhao, Guyue Zhou
Large-scale radiance fields are promising mapping tools for smart transportation applications like autonomous driving or drone delivery.
1 code implementation • 19 Oct 2022 • Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
As such, we study the challenging problem of task oriented detection, which aims to find objects that best afford an action indicated by verbs like sit comfortably on.
no code implementations • 28 Sep 2022 • Yongliang Shi, Runyi Yang, Pengfei Li, Zirui Wu, Hao Zhao, Guyue Zhou
Neural implicit representations are drawing a lot of attention from the robotics community recently, as they are expressive, continuous and compact.
1 code implementation • 18 Sep 2022 • Zhenxin Zhu, Yuantao Chen, Zirui Wu, Chao Hou, Yongliang Shi, Chuxuan Li, Pengfei Li, Hao Zhao, Guyue Zhou
In this paper, we present LATITUDE: Global Localization with Truncated Dynamic Low-pass Filter, which introduces a two-stage localization mechanism in city-scale NeRF.
1 code implementation • 29 Nov 2021 • Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations.