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20152026
most citedMulti-Sensor Control for Multi-Object Bayes Filters

47 citations · 117 across the 26 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

Maximum Consensus by Weighted Influences of Monotone Boolean Functions

Erchuan Zhang, David Suter, Ruwan Tennakoon +4

Robust model fitting is a fundamental problem in computer vision: used to pre-process raw data in the presence of outliers. Maximisation of Consensus (MaxCon) is one of the most po…

cs.CV2021

Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework

Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar +1

In this paper, we propose an efficient approach for industrial defect detection that is modeled based on anomaly detection using point pattern data. Most recent works use \textit{g…

cs.RO2021

Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies

Muhammad Shoaib, Ehsan Asadi, Joono Cheong +1

Significant attention has been paid to robotic rehabilitation using various types of actuator and power transmission. Amongst those, cable-driven rehabilitation robots (CDRRs) are…

cs.CV2021

Robust Pooling through the Data Mode

Ayman Mukhaimar, Ruwan Tennakoon, Chow Yin Lai +2

The task of learning from point cloud data is always challenging due to the often occurrence of noise and outliers in the data. Such data inaccuracies can significantly influence t…

cs.CV2021

Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning

WeiQin Chuah, Ruwan Tennakoon, Alireza Bab-Hadiashar +1

Learning-based stereo matching and depth estimation networks currently excel on public benchmarks with impressive results. However, state-of-the-art networks often fail to generali…

cs.CV2021

Consensus Maximisation Using Influences of Monotone Boolean Functions

Ruwan Tennakoon, David Suter, Erchuan Zhang +2

Consensus maximisation (MaxCon), which is widely used for robust fitting in computer vision, aims to find the largest subset of data that fits the model within some tolerance level…

cs.CV2021★ 9 cited

Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework

Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar +1

Defect detection in the manufacturing industry is of utmost importance for product quality inspection. Recently, optical defect detection has been investigated as an anomaly detect…