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Journal Articles
- 2024
[j4]Letao Liu
, Xudong Jiang, Martin Saerbeck, Justin Dauwels:
EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3652-3662 (2024)- 2022
- [j3]Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels:
Recurrent Affine Transform Encoder for Image Representation. IEEE Access 10: 18653-18666 (2022) - [j2]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck, Teck Ping Khoo:
Adaptive Model Verification for Modularized Industry 4.0 Applications. IEEE Access 10: 125353-125364 (2022) - 2015
- [j1]Pramod Kumar Pisharady, Martin Saerbeck:
Recent methods and databases in vision-based hand gesture recognition: A review. Comput. Vis. Image Underst. 141: 152-165 (2015)
Conference and Workshop Papers
- 2022
- [c15]Lim Yong Zhi, Jianying Zhou, Martin Saerbeck:
SuppliedTrust: A Trusted Blockchain Architecture for Supply Chains. ACNS Workshops 2022: 36-52 - [c14]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck:
Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study. WF-IoT 2022: 1-7 - 2021
- [c13]Lim Yong Zhi, Jianying Zhou, Martin Saerbeck:
Shaping Blockchain Technology for Securing Supply Chains. ACNS Workshops 2021: 3-18 - 2020
- [c12]Xin Xin, Sye Loong Keoh, Michele Sevegnani, Martin Saerbeck:
Dynamic Probabilistic Model Checking for Sensor Validation in Industry 4.0 Applications. SmartIoT 2020: 43-50 - 2015
- [c11]Jonathan S. Herberg, Sebastian Feller, Ilker Yengin, Martin Saerbeck:
Robot watchfulness hinders learning performance. RO-MAN 2015: 153-160 - 2014
- [c10]Pramod Kumar Pisharady, Martin Saerbeck:
Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systems. ACCV Workshops (1) 2014: 157-173 - [c9]Pramod Kumar Pisharady, Martin Saerbeck:
A robust gesture detection and recognition algorithm for domestic robot interactions. ICARCV 2014: 775-780 - 2013
- [c8]Pramod Kumar Pisharady, Martin Saerbeck:
Robust gesture detection and recognition using dynamic time warping and multi-class probability estimates. CIMSIVP 2013: 30-36 - [c7]Jonathan S. Herberg, Dev C. Behera, Martin Saerbeck:
Eliciting ideal tutor trait perception in robots: pinpointing effective robot design space elements for smooth tutor interactions. HRI 2013: 137-138 - 2012
- [c6]Ilker Yengin, Martin Saerbeck:
Structuring automated learning discussions using dialog games and cognitive maps. ITHET 2012: 1-8 - 2010
- [c5]Martin Saerbeck, Tom Schut, Christoph Bartneck, Maddy D. Janse:
Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor. CHI 2010: 1613-1622 - [c4]Martin Saerbeck, Christoph Bartneck:
Perception of affect elicited by robot motion. HRI 2010: 53-60 - 2009
- [c3]Martin Saerbeck, Benoît Bleuzé, Albert J. N. van Breemen:
A Practical Study on the Design of a User-Interface Robot Application. FIRA 2009: 74-85 - [c2]Bernt Meerbeek, Martin Saerbeck, Christoph Bartneck:
Towards a design method for expressive robots. HRI 2009: 277-278 - 2007
- [c1]Martin Saerbeck, Albert J. N. van Breemen:
Design guidelines and tools for creating believable motion for personal robots. RO-MAN 2007: 386-391
Informal and Other Publications
- 2019
- [i2]Letao Liu, Martin Saerbeck, Justin Dauwels:
Affine Disentangled GAN for Interpretable and Robust AV Perception. CoRR abs/1907.05274 (2019) - 2017
- [i1]Christoph Bartneck, Michael J. Lyons, Martin Saerbeck:
The Relationship Between Emotion Models and Artificial Intelligence. CoRR abs/1706.09554 (2017)
Coauthor Index
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last updated on 2024-06-10 21:25 CEST by the dblp team
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