Qiangqiang Huang

19 papers A* 1A 3Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bow Direction Detection Based on Angular Coding With Heading Intersection Over Union Loss.
IEEE Trans. Geosci. Remote. Sens.
Yaxiong Chen, Jiang Liu, Qiangqiang Huang, Hao Sun, Shengwu Xiong, Xiaoqiang Lu
2024 J jnl
CTOD: Cross-Attentive Task-Alignment for One-Stage Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Ruilin Yao, Yi Rong, Qiangqiang Huang, Shengwu Xiong
2024 — conf
Design of automated testing system for electronic safety and disarming devices based on Labview.
CSAE
Rong Yan, Qiangqiang Huang, Yunlong Wu, Xuan Yan, Yanan Zhu, Ziqiang Zhang
2024 J jnl
Oriented Object Detector With Gaussian Distribution Cost Label Assignment and Task-Decoupled Head.
IEEE Trans. Geosci. Remote. Sens.
Qiangqiang Huang, Ruilin Yao, Xiaoqiang Lu, Jishuai Zhu, Shengwu Xiong, Yaxiong Chen
2023 J jnl
Field detection of small pests through stochastic gradient descent with genetic algorithm.
Comput. Electron. Agric.
Yin Ye, Qiangqiang Huang, Yi Rong, Xiaohan Yu, Weiji Liang, Yaxiong Chen, Shengwu Xiong
2023 A conf
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM.
IROS
Qiangqiang Huang, John J. Leonard
2023 J jnl
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM.
CoRR
Qiangqiang Huang, John J. Leonard
2023 J jnl
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.
IEEE Trans. Robotics
Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2023 J jnl
Optimizing Fiducial Marker Placement for Improved Visual Localization.
IEEE Robotics Autom. Lett.
Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
2022 J jnl
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs.
IEEE Robotics Autom. Lett.
Qiangqiang Huang, Alan Papalia, John J. Leonard
2022 J jnl
Optimizing Fiducial Marker Placement for Improved Visual Localization.
CoRR
Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
2021 A conf
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM.
IROS
Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard
2021 J jnl
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM.
CoRR
Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard
2021 A conf
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM.
IROS
Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard
2021 J jnl
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM.
CoRR
Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard
2021 A* conf
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows.
ICRA
Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021 J jnl
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows.
CoRR
Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021 J jnl
On Reference Solutions to Non-Gaussian SLAM Factor Graphs.
CoRR
Qiangqiang Huang, Alan Papalia, John J. Leonard
2021 J jnl
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.
CoRR
Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard