activity
20152026
most citedMonocular Depth Estimation Based On Deep Learning: An Overview

315 citations · 445 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Event-triggered Control and Online Learning for Networked Systems under Computational Delays

Xiaobing Dai, Armin Lederer, Zewen Yang +4

Online learning-based control is a promising approach to control uncertain systems, where unknown components are identified during operation to improve control performance. However…

eess.SY2021★ 1 cited

Optimal Stationary State Estimation Over Multiple Markovian Packet Drop Channels

Jiapeng Xu, Guoxiang Gu, Vijay Gupta +1

In this paper, we investigate the state estimation problem over multiple Markovian packet drop channels. In this problem setup, a remote estimator receives measurement data transmi…

cs.CV2020★ 315 cited

Monocular Depth Estimation Based On Deep Learning: An Overview

Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang +2

Depth information is important for autonomous systems to perceive environments and estimate their own state. Traditional depth estimation methods, like structure from motion and st…

eess.SY2020★ 69 cited

Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems

Mengqi Xue, Yang Tang, Wei Ren +1

A multi-dimensional switched system or multi-mode multi-dimensional () system extends the classic switched system by allowing different subsystem dimensions. The stability pr…

cs.CV2019★ 54 cited

Deep Direct Visual Odometry

Chaoqiang Zhao, Yang Tang, Qiyu Sun +1

Traditional monocular direct visual odometry (DVO) is one of the most famous methods to estimate the ego-motion of robots and map environments from images simultaneously. However,…

cs.AI2017★ 4 cited

Robust Order Scheduling in the Fashion Industry: A Multi-Objective Optimization Approach

Wei Du, Yang Tang, Sunney Yung Sun Leung +3

In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines. In reality, before a new order can be put into production,…