Sabrina Hoppe
Sabrina Hoppe
Bosch Corporate Research
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Cited by
Cited by
Eye movements during everyday behavior predict personality traits
S Hoppe, T Loetscher, SA Morey, A Bulling
Frontiers in human neuroscience, 105, 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
End-to-end eye movement detection using convolutional neural networks
S Hoppe, A Bulling
arXiv preprint arXiv:1609.02452, 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
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
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
Eype—using eye-traces for eye-typing
S Hoppe, M Löchtefeld, F Daiber
Workshop on grand challenges in text entry (chi 2013), 2013
Qgraph-bounded q-learning: Stabilizing model-free off-policy deep reinforcement learning
S Hoppe, M Toussaint
arXiv preprint arXiv:2007.07582, 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
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
Defect transfer GAN: diverse defect synthesis for data augmentation
R Wang, S Hoppe, E Monari, MF Huber
arXiv preprint arXiv:2302.08366, 2023
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
End-to-end eye movement detection using convolutional neural networks. arXiv e-prints
S Hoppe, A Bulling
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
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, ...
arXiv preprint arXiv:2304.10595, 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
Method and device for operating a robot
S Hoppe, M Giftthaler, R Krug
US Patent App. 17/325,181, 2021
Improving sample-efficiency for model-free off-policy deep reinforcement learning in contact-rich manipulation
S Hoppe
3.6 Detecting Mental Processes and States from Visual Behaviour
S Hoppe
Eyewear Computing–Augmenting the Human with Head-Mounted Wearable Assistants …, 2016
Walking Reduces Spatial Neglect
T Loetscher, C Chen, S Hoppe, A Bulling, S Wignall, C Owen, N Thomas, ...
5th INS/ASSBI Pacific Rim Conference, 121-122, 2015
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