activity
20202023
most citedDiscriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2023

Poses as Queries: Image-to-LiDAR Map Localization with Transformers

Jinyu Miao, Kun Jiang, Yunlong Wang +6

High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks. Localization with a monocular camera in LiDAR map is a ne…

cs.CV2022

Real-time Local Feature with Global Visual Information Enhancement

Jinyu Miao, Haosong Yue, Zhong Liu +3

Local feature provides compact and invariant image representation for various visual tasks. Current deep learning-based local feature algorithms always utilize convolution neural n…

math.CO2021

Solvable conjugacy class graph of groups

Parthajit Bhowal, Peter J. Cameron, Rajat Kanti Nath +1

In this paper we introduce the graph associated with a group , called the solvable conjugacy class graph (abbreviated as SCC-graph), whose vertices are the nontrivia…

cs.CV2021

Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection

Haosong Yue, Jinyu Miao, Weihai Chen +3

Localizing pre-visited places during long-term simultaneous localization and mapping, i.e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistenci…

cs.CV2021★ 1 cited

Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments

Yuxin Tian, Jinyu MIao, Xingming Wu +3

Features play an important role in various visual tasks, especially in visual place recognition applied in perceptual changing environments. In this paper, we address the challenge…

cs.CV2020

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization

Dongjiang Li, Jinyu Miao, Xuesong Shi +9

Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…