| Eye movements during everyday behavior predict personality traits S Hoppe, T Loetscher, SA Morey, A Bulling Frontiers in human neuroscience, 105, 2018 | 184 | 2018 |
| Menuoptimizer: Interactive optimization of menu systems G Bailly, A Oulasvirta, T Kötzing, S Hoppe Proceedings of the 26th annual ACM symposium on User interface software and …, 2013 | 102 | 2013 |
| End-to-end eye movement detection using convolutional neural networks S Hoppe, A Bulling arXiv preprint arXiv:1609.02452, 2016 | 54 | 2016 |
| Recognition of curiosity using eye movement analysis S Hoppe, T Loetscher, S Morey, A Bulling Adjunct proceedings of the 2015 acm international joint conference on …, 2015 | 39 | 2015 |
| Planning approximate exploration trajectories for model-free reinforcement learning in contact-rich manipulation S Hoppe, Z Lou, D Hennes, M Toussaint IEEE Robotics and Automation Letters 4 (4), 4042-4047, 2019 | 21 | 2019 |
| A study on the natural history of scanning behaviour in patients with visual field defects after stroke T Loetscher, C Chen, S Wignall, A Bulling, S Hoppe, O Churches, ... BMC Neurology, 2015 | 15 | 2015 |
| Eype—using eye-traces for eye-typing S Hoppe, M Löchtefeld, F Daiber Workshop on grand challenges in text entry (chi 2013), 2013 | 12 | 2013 |
| Qgraph-bounded q-learning: Stabilizing model-free off-policy deep reinforcement learning S Hoppe, M Toussaint arXiv preprint arXiv:2007.07582, 2020 | 11 | 2020 |
| Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG S Hoppe, M Giftthaler, R Krug, M Toussaint International Conference on Intelligent Robots and Systems (IROS), 9080-9087, 2020 | 10 | 2020 |
| On the interplay between spontaneous spoken instructions and human visual behaviour in an indoor guidance task. N Koleva, S Hoppe, MM Moniri, M Staudte, A Bulling CogSci, 2015 | 9 | 2015 |
| Visual compensation in cervical dystonia L Bradnam, CS Chen, R Callahan, S Hoppe, E Rosenich, T Loetscher Journal of Clinical and Experimental Neuropsychology 41 (7), 769-774, 2019 | 8 | 2019 |
| Defect transfer GAN: diverse defect synthesis for data augmentation R Wang, S Hoppe, E Monari, MF Huber arXiv preprint arXiv:2302.08366, 2023 | 7 | 2023 |
| End-to-end eye movement detection using convolutional neural networks. arXiv e-prints S Hoppe, A Bulling | 4 | 2016 |
| Deep Learning for Manipulation with Visual and Haptic Feedback S Hoppe, Z Lou, D Hennes, M Toussaint IROS Workshop on Frontiers in Contact-rich Robotic Interaction, 2017 | 3 | 2017 |
| Menuoptimizer G Bailly, A Oulasvirta, T Kötzing, S Hoppe Proceedings of the 26th annual ACM symposium on User interface software and …, 2013 | 1 | 2013 |
| The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing L Rozo, AG Kupcsik, P Schillinger, M Guo, R Krug, N van Duijkeren, ... Robotics and Computer-Integrated Manufacturing 85, 102637, 2024 | | 2024 |
| Improving the Effectiveness of Deep Generative Data R Wang, S Schmedding, MF Huber arXiv preprint arXiv:2311.03959, 2023 | | 2023 |
| Method and device for operating a robot S Hoppe, M Giftthaler, R Krug US Patent 11,738,454, 2023 | | 2023 |
| Stabilizing deep Q-learning with Q-graph-based bounds S Hoppe, M Giftthaler, R Krug, M Toussaint The International Journal of Robotics Research 42 (9), 633-654, 2023 | | 2023 |
| Device and method to improve synthetic image generation of image-to-image translation of industrial images R Wang, S Hoppe, E Monari US Patent App. 17/897,007, 2023 | | 2023 |
Andreas BullingProfessor of Computer Science, University of StuttgartVerified email at vis.uni-stuttgart.de
