ARETT: augmented reality eye tracking toolkit for head mounted displays S Kapp, M Barz, S Mukhametov, D Sonntag, J Kuhn Sensors 21 (6), 2234, 2021 | 79 | 2021 |
Error-aware gaze-based interfaces for robust mobile gaze interaction M Barz, F Daiber, D Sonntag, A Bulling Proceedings of the 2018 ACM Symposium on Eye Tracking Research …, 2018 | 36 | 2018 |
A survey on deep learning toolkits and libraries for intelligent user interfaces J Zacharias, M Barz, D Sonntag arXiv preprint arXiv:1803.04818, 2018 | 29 | 2018 |
Towards explanatory interactive image captioning using top-down and bottom-up features, beam search and re-ranking R Biswas, M Barz, D Sonntag KI-Künstliche Intelligenz 34 (4), 571-584, 2020 | 28 | 2020 |
Gaze-guided object classification using deep neural networks for attention-based computing M Barz, D Sonntag Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 27 | 2016 |
Prediction of gaze estimation error for error-aware gaze-based interfaces M Barz, F Daiber, A Bulling Proceedings of the ninth biennial acm symposium on eye tracking research …, 2016 | 27 | 2016 |
Watercoaster: A device to encourage people in a playful fashion to reach their daily water intake level P Lessel, M Altmeyer, F Kerber, M Barz, C Leidinger, A Krüger Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016 | 24 | 2016 |
Automatic recognition and augmentation of attended objects in real-time using eye tracking and a head-mounted display M Barz, S Kapp, J Kuhn, D Sonntag ACM Symposium on Eye Tracking Research and Applications, 1-4, 2021 | 21 | 2021 |
Automatic visual attention detection for mobile eye tracking using pre-trained computer vision models and human gaze M Barz, D Sonntag Sensors 21 (12), 4143, 2021 | 20 | 2021 |
Investigating the usability of a head-mounted display augmented reality device in elementary school children L Lauer, K Altmeyer, S Malone, M Barz, R Brünken, D Sonntag, M Peschel Sensors 21 (19), 6623, 2021 | 18 | 2021 |
Visual search target inference in natural interaction settings with machine learning M Barz, S Stauden, D Sonntag ACM Symposium on Eye Tracking Research and Applications, 1-8, 2020 | 17 | 2020 |
Medical 3d images in multimodal virtual reality A Prange, M Barz, D Sonntag Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 17 | 2018 |
Computational modelling and prediction of gaze estimation error for head-mounted eye trackers M Barz, A Bulling, F Daiber DFKI ResearchReports 1 (1), 1-10, 2015 | 17 | 2015 |
Digital pen features predict task difficulty and user performance of cognitive tests M Barz, K Altmeyer, S Malone, L Lauer, D Sonntag Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 16 | 2020 |
Multimodal multisensor activity annotation tool M Barz, MM Moniri, M Weber, D Sonntag Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 15 | 2016 |
Fine-tuning deep CNN models on specific MS COCO categories D Sonntag, M Barz, J Zacharias, S Stauden, V Rahmani, Á Fóthi, ... arXiv preprint arXiv:1709.01476, 2017 | 11 | 2017 |
Human-in-the-loop control processes in gas turbine maintenance M Barz, P Poller, M Schneider, S Zillner, D Sonntag Industrial Applications of Holonic and Multi-Agent Systems: 8th …, 2017 | 11 | 2017 |
Visual search target inference using bag of deep visual words S Stauden, M Barz, D Sonntag KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018 | 9 | 2018 |
Evaluating remote and head-worn eye trackers in multi-modal speech-based HRI M Barz, P Poller, D Sonntag Proceedings of the Companion of the 2017 ACM/IEEE International Conference …, 2017 | 9 | 2017 |
Implicit Estimation of Paragraph Relevance from Eye Movements M Barz, OS Bhatti, D Sonntag Frontiers in Computer Science 3, 13, 2022 | 8 | 2022 |