activity
20202022
most citedFeature Pyramid Attention based Residual Neural Network for Environmental Sound Classification

6 citations · 25 across the 13 of their papers we have counts for

collaborators

16 papers

cs.RO20222 cited

TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning

Junjie Lu, Bi Zeng, Jingtao Tang +1

Coverage path planning is a major application for mobile robots, which requires robots to move along a planned path to cover the entire map. For large-scale tasks, coverage path pl…

cs.RO2022

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Junfeng Chen, Fuqin Deng, Yuan Gao +4

It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To…

cs.SD20226 cited

Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification

Liguang Zhou, Yuhongze Zhou, Xiaonan Qi +3

Environmental sound classification (ESC) is a challenging problem due to the unstructured spatial-temporal relations that exist in the sound signals. Recently, many studies have fo…

cs.CV20211 cited

Abnormal Occupancy Grid Map Recognition using Attention Network

Fuqin Deng, Hua Feng, Mingjian Liang +6

The occupancy grid map is a critical component of autonomous positioning and navigation in the mobile robotic system, as many other systems' performance depends heavily on it. To g…

cs.CV20216 cited

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

Fuqin Deng, Hua Feng, Mingjian Liang +7

The RGB-Thermal (RGB-T) information for semantic segmentation has been extensively explored in recent years. However, most existing RGB-T semantic segmentation usually compromises…

cs.RO20211 cited

AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment

Huifeng Guan, Yuan Gao, Min Zhao +3

Multi-agent path finding in dynamic crowded environments is of great academic and practical value for multi-robot systems in the real world. To improve the effectiveness and effici…