activity
20182025
most citedA Review of Safe Reinforcement Learning: Methods, Theory and Applications

102 citations · 292 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

Fan Lu, Guang Chen, Yinlong Liu +4

Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR point clouds are typically large-scale and complexly distributed, which makes the registratio…

cs.CV2021★ 44 cited

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

Sanqing Qu, Guang Chen, Zhijun Li +3

Weakly-supervised temporal action localization aims to localize action instances temporal boundary and identify the corresponding action category with only video-level labels. Trad…

cs.LG2021★ 22 cited

NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting

Kai Chen, Guang Chen, Dan Xu +3

Although Transformer has made breakthrough success in widespread domains especially in Natural Language Processing (NLP), applying it to time series forecasting is still a great ch…

cs.CV2021★ 20 cited

Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection

Hu Cao, Guang Chen, Zhijun Li +2

The method of deep learning has achieved excellent results in improving the performance of robotic grasping detection. However, the deep learning methods used in general object det…

cs.RO2021

Gaussian Process-Based Model Predictive Control for Overtaking

Wenjun Liu, Chang Liu, Guang Chen +2

This paper proposes a novel framework for addressing the challenge of autonomous overtaking and obstacle avoidance, which incorporates the overtaking path planning into Gaussian Pr…