activity
20182025
most citedDF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features

33 citations · 54 across the 13 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2025

SG-Reg: Generalizable and Efficient Scene Graph Registration

Chuhao Liu, Zhijian Qiao, Jieqi Shi +3

This paper addresses the challenges of registering two rigid semantic scene graphs, an essential capability when an autonomous agent needs to register its map against a remote agen…

cs.RO2023★ 1 cited

Efficient Implicit Neural Reconstruction Using LiDAR

Dongyu Yan, Xiaoyang Lyu, Jieqi Shi +1

Modeling scene geometry using implicit neural representation has revealed its advantages in accuracy, flexibility, and low memory usage. Previous approaches have demonstrated impre…

cs.RO2021

Graph-Guided Deformation for Point Cloud Completion

Jieqi Shi, Lingyun Xu, Liang Heng +1

For a long time, the point cloud completion task has been regarded as a pure generation task. After obtaining the global shape code through the encoder, a complete point cloud is g…

cs.RO2019★ 3 cited

Coarse-To-Fine Visual Localization Using Semantic Compact Map

Ziwei Liao, Jieqi Shi, Xianyu Qi +5

Robust visual localization for urban vehicles remains challenging and unsolved. The limitation of computation efficiency and memory size has made it harder for large-scale applicat…

cs.RO2018★ 5 cited

An Efficient Volumetric Mesh Representation for Real-time Scene Reconstruction using Spatial Hashing

Wei Dong, Jieqi Shi, Weijie Tang +2

Mesh plays an indispensable role in dense real-time reconstruction essential in robotics. Efforts have been made to maintain flexible data structures for 3D data fusion, yet an eff…