activity
20202023
most citedSemantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

84 citations · 188 across the 29 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

cs.CV2021★ 1 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.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.RO2021★ 1 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…

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…

eess.IV2021★ 2 cited

View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution

Yuhongze Zhou, Liguang Zhou, Tin Lun Lam +1

In recent years, self-supervised denoising methods have shown impressive performance, which circumvent painstaking collection procedure of noisy-clean image pairs in supervised den…

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.RO2021

AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

Tianwei Zhang, Huayan Zhang, Xiaofei Li +3

Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic e…

cs.CV2021

PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time

Huayan Zhang, Tianwei Zhang, Tin Lun Lam +1

Dynamic environments that include unstructured moving objects pose a hard problem for Simultaneous Localization and Mapping (SLAM) performance. The motion of rigid objects can be t…

cs.CV2021★ 4 cited

Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition

Bo Miao, Liguang Zhou, Ajmal Mian +2

Accurate perception of the surrounding scene is helpful for robots to make reasonable judgments and behaviours. Therefore, developing effective scene representation and recognition…

cs.CV2021★ 1 cited

BORM: Bayesian Object Relation Model for Indoor Scene Recognition

Liguang Zhou, Jun Cen, Xingchao Wang +3

Scene recognition is a fundamental task in robotic perception. For human beings, scene recognition is reasonable because they have abundant object knowledge of the real world. The…

cs.CV2021★ 1 cited

Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention

Yuhongze Zhou, Liguang Zhou, Tin Lun Lam +1

Natural image matting aims to precisely separate foreground objects from background using alpha matte. Fully automatic natural image matting without external annotation is challeng…