activity
20202026
most citedSemantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

84 citations · 112 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

FreeLoc: Online Floorplan Localization via Diffusion-Aided Pose Refinement

Haocheng Peng, Boyang Zhou, Jiarui Hu +7

Floorplans provide compact and widely available geometric maps for indoor localization, but existing high-performing floorplan-based methods still convert them into dense scene-spe…

cs.CV2026

Compact Object-Level Representations with Open-Vocabulary Understanding for Indoor Visual Relocalization

Zhaopeng Cui, Jiarui Hu, Jingbo Liu +7

Indoor visual relocalization plays a critical role in emerging spatial and embodied AI applications. However, prior research was predominantly devoted to low-level vision schemes,…

cs.CV2025

SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion

Xiyue Guo, Jiarui Hu, Junjie Hu +2

Recently, camera-based solutions have been extensively explored for scene semantic completion (SSC). Despite their success in visible areas, existing methods struggle to capture co…

cs.RO2023

Descriptor Distillation for Efficient Multi-Robot SLAM

Xiyue Guo, Junjie Hu, Hujun Bao +1

Performing accurate localization while maintaining the low-level communication bandwidth is an essential challenge of multi-robot simultaneous localization and mapping (MR-SLAM). I…

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.CV2022★ 11 cited

DFlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance

Xingyuan Yu, Weicai Ye, Xiyue Guo +5

In this paper, we introduce a self-supervised deep SLAM method that robustly operates in dynamic scenes while accurately identifying dynamic components. Our method leverages a dual…

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★ 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…

cs.CV2020★ 2 cited

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,…

cs.RO2020★ 84 cited

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

Xiyue Guo, Junjie Hu, Junfeng Chen +2

The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL). The dif…