Andrew Tzer-Yeu Chen

Orcid: 0000-0002-6239-8443

According to our database1, Andrew Tzer-Yeu Chen authored at least 18 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
How fragmentation can undermine the public health response to Covid-19.
Interactions, 2021

Exploring the Drivers and Barriers to Uptake for Digital Contact Tracing.
CoRR, 2021

2020
Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking.
J. Imaging, 2020

Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation.
CoRR, 2020

2019
Designing Dynamic and Collaborative Automation and Robotics Software Systems.
IEEE Trans. Ind. Informatics, 2019

SuperBE: computationally light background estimation with superpixels.
J. Real Time Image Process., 2019

Robust Computer Vision Chess Analysis and Interaction with a Humanoid Robot.
Comput., 2019

Investigating fast re-identification for multi-camera indoor person tracking.
Comput. Electr. Eng., 2019

2018
A Single RF Emitter-Based Indoor Navigation Method for Autonomous Service Robots.
Sensors, 2018

Accelerating SuperBE with Hardware/Software Co-Design.
J. Imaging, 2018

Convolutional neural network acceleration with hardware/software co-design.
Appl. Intell., 2018

Mind the Gap: Insights into Student Perceptions During Peer Assessment of Writing.
Proceedings of the IEEE International Conference on Teaching, 2018

Fast One-Shot Learning for Identity Classification in Person Re-identification and Tracking.
Proceedings of the 15th International Conference on Control, 2018

Context is King: Privacy Perceptions of Camera-based Surveillance.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017
A computationally efficient pipeline for camera-based indoor person tracking.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

A framework for designing dynamic and interoperable automation and robotics systems.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Trusting the Computer in Computer Vision: A Privacy-Affirming Framework.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Hardware/Software Co-design for a Gender Recognition Embedded System.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016


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