activity
20182022
most citedAnalysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

12 citations · 34 across the 7 of their papers we have counts for

collaborators

10 papers

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.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.CV20211 cited

PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation

Hualie Jiang, Laiyan Ding, Junjie Hu +1

Unsupervised learning of depth from indoor monocular videos is challenging as the artificial environment contains many textureless regions. Fortunately, the indoor scenes are full…

cs.RO2021

Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems

Junfeng Chen, Yuan Gao, Junjie Hu +2

We study a novel problem that tackles learning based sensor scanning in 3D and uncertain environments with heterogeneous multi-robot systems. Our motivation is two-fold: first, 3D…

cs.CV2020

A Two-stage Unsupervised Approach for Low light Image Enhancement

Junjie Hu, Xiyue Guo, Junfeng Chen +3

As vision based perception methods are usually built on the normal light assumption, there will be a serious safety issue when deploying them into low light environments. Recently,…