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20182026
most citedSemantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

84 citations · 155 across the 28 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 6 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.CV2021★ 1 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.LG2021

Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth

Chongyang Wang, Yuan Gao, Chenyou Fan +4

The annotation of domain experts is important for some medical applications where the objective ground truth is ambiguous to define, e.g., the rehabilitation for some chronic disea…

cs.CV2021★ 9 cited

Boosting Light-Weight Depth Estimation Via Knowledge Distillation

Junjie Hu, Chenyou Fan, Hualie Jiang +4

Monocular depth estimation (MDE) methods are often either too computationally expensive or not accurate enough due to the trade-off between model complexity and inference performan…