Martin Saerbeck

According to our database, Martin Saerbeck authored at least 21 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images.

Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels

IEEE Trans. Neural Networks Learn. Syst., March, 2024

2022

Adaptive Model Verification for Modularized Industry 4.0 Applications.

Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck, Teck Ping Khoo

IEEE Access, 2022

Recurrent Affine Transform Encoder for Image Representation.

Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels

IEEE Access, 2022

Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study.

Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck

Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

SuppliedTrust: A Trusted Blockchain Architecture for Supply Chains.

Lim Yong Zhi, Jianying Zhou, Martin Saerbeck

Proceedings of the Applied Cryptography and Network Security Workshops, 2022

2021

Shaping Blockchain Technology for Securing Supply Chains.

Lim Yong Zhi, Jianying Zhou, Martin Saerbeck

Proceedings of the Applied Cryptography and Network Security Workshops, 2021

2020

Dynamic Probabilistic Model Checking for Sensor Validation in Industry 4.0 Applications.

Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck

Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020

2019

Affine Disentangled GAN for Interpretable and Robust AV Perception.

Letao Liu, Martin Saerbeck, Justin Dauwels

CoRR, 2019

2017

The Relationship Between Emotion Models and Artificial Intelligence.

Christoph Bartneck, Michael J. Lyons, Martin Saerbeck

CoRR, 2017

2015

Recent methods and databases in vision-based hand gesture recognition: A review.

Pramod Kumar Pisharady, Martin Saerbeck

Comput. Vis. Image Underst., 2015

Robot watchfulness hinders learning performance.

Jonathan S. Herberg, Sebastian Feller, Ilker Yengin, Martin Saerbeck

Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

2014

A robust gesture detection and recognition algorithm for domestic robot interactions.

Pramod Kumar Pisharady, Martin Saerbeck

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systems.

Pramod Kumar Pisharady, Martin Saerbeck

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Eliciting ideal tutor trait perception in robots: pinpointing effective robot design space elements for smooth tutor interactions.

Jonathan S. Herberg, Dev C. Behera, Martin Saerbeck

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Robust gesture detection and recognition using dynamic time warping and multi-class probability estimates.

Pramod Kumar Pisharady, Martin Saerbeck

Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Multimedia, 2013

2012

Structuring automated learning discussions using dialog games and cognitive maps.

Ilker Yengin, Martin Saerbeck

Proceedings of the 2012 International Conference on Information Technology Based Higher Education and Training, 2012

2010

Perception of affect elicited by robot motion.

Martin Saerbeck, Christoph Bartneck

Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor.

Martin Saerbeck, Tom Schut, Christoph Bartneck, Maddy D. Janse

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009

Towards a design method for expressive robots.

Bernt Meerbeek, Martin Saerbeck, Christoph Bartneck

Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction, 2009

A Practical Study on the Design of a User-Interface Robot Application.

Martin Saerbeck, Benoît Bleuzé, Albert J. N. van Breemen

Proceedings of the Progress in Robotics, 2009

2007

Design guidelines and tools for creating believable motion for personal robots.

Martin Saerbeck, Albert J. N. van Breemen

Proceedings of the IEEE RO-MAN 2007, 2007