activity
20162021
most citedVisual Saliency Based on Scale-Space Analysis in the Frequency Domain

580 citations · 872 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 27 cited

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

Xinglong Zhang, Yaoqian Peng, Biao Luo +3

Recently, safe reinforcement learning (RL) with the actor-critic structure for continuous control tasks has received increasing attention. It is still challenging to learn a near-o…

eess.SY2021★ 187 cited

Robust Tube-based Model Predictive Control with Koopman Operators--Extended Version

Xinglong Zhang, Wei Pan, Riccardo Scattolini +2

Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman…

cs.CV2020★ 1 cited

Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds

Li Wang, Dawei Zhao, Tao Wu +5

3D moving object detection is one of the most critical tasks in dynamic scene analysis. In this paper, we propose a novel Drosophila-inspired 3D moving object detection method usin…

eess.SY2019★ 77 cited

Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints

Xinglong Zhang, Jiahang Liu, Xin Xu +2

Robust model predictive control (MPC) is a well-known control technique for model-based control with constraints and uncertainties. In classic robust tube-based MPC approaches, an…

cs.CV2016★ 580 cited

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

Jian Li, Martin Levine, Xiangjing An +2

We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing…