| Learning what and where to attend D Linsley, D Shiebler, S Eberhardt, T Serre arXiv preprint arXiv:1805.08819, 2018 | 171 | 2018 |
| StomataCounter: a neural network for automatic stomata identification and counting KC Fetter, S Eberhardt, RS Barclay, S Wing, SR Keller New Phytologist 223 (3), 1671-1681, 2019 | 107 | 2019 |
| What are the visual features underlying human versus machine vision? D Linsley, S Eberhardt, T Sharma, P Gupta, T Serre Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 58 | 2017 |
| How deep is the feature analysis underlying rapid visual categorization? S Eberhardt, JG Cader, T Serre Advances in neural information processing systems 29, 2016 | 52 | 2016 |
| Global-and-local attention networks for visual recognition D Linsley, D Shiebler, S Eberhardt, T Serre benefits 64 (01), 2018 | 38 | 2018 |
| Peripheral pooling is tuned to the localization task S Eberhardt, C Zetzsche, K Schill Journal of Vision 16 (2), 14-14, 2016 | 8 | 2016 |
| Low-level global features for vision-based localizations. S Eberhardt, C Zetzsche KIK@ KI, 5-12, 2013 | 6 | 2013 |
| Learning what and where to attend. arXiv D Linsley, D Shiebler, S Eberhardt, T Serre arXiv preprint arXiv:1805.08819, 2018 | 5 | 2018 |
| StomataCounter: a deep learning method applied to automatic stomatal identification and counting K Fetter, S Eberhardt, RS Barclay, S Wing, SR Keller bioRxiv, 2018 | 4 | 2018 |
| Clicktionary: a web-based game for exploring the atoms of object recognition D Linsley, S Eberhardt, T Sharma, P Gupta, T Serre ArXiv, abs/1701.02704, 2017 | 4 | 2017 |
| Learning what and where to attend. arXiv 2018 D Linsley, D Shiebler, S Eberhardt, T Serre arXiv preprint arXiv:1805.08819, 0 | 4 | |
| From pattern recognition to place identification S Eberhardt, T Kluth, C Zetzsche, K Schill Spatial cognition, international workshop on place-related knowledge …, 2012 | 3 | 2012 |
| Method and system for automated behavior classification of test subjects T Serre, Y Barhomi, Z Nado, K Bath, S Eberhardt US Patent 10,181,082, 2019 | 2 | 2019 |
| Dynamics of dual prism adaptation: Relating novel experimental results to a minimalistic neural model O Arévalo, MA Bornschlegl, S Eberhardt, U Ernst, K Pawelzik, M Fahle Plos one 8 (10), e76601, 2013 | 2 | 2013 |
| Large-scale identification of the visual features used for object recognition with ClickMe. ai D Linsley, D Shiebler, S Eberhardt, A Karagounis, T Serre Journal of Vision 18 (10), 414-414, 2018 | 1 | 2018 |
| Analysis and Modeling of Visual Invariance for Object Recognition and Spatial Cognition S Eberhardt Universität Bremen, 2015 | 1 | 2015 |
| A data-driven approach to learning 3D shape S Eberhardt, D Schiebler, D Linsley, T Serre Journal of Vision 17 (10), 405-405, 2017 | | 2017 |
| A novel game for discovering visual features for object recognition. D Linsley, S Eberhardt, P Gupta, T Serre Journal of Vision 17 (10), 1249-1249, 2017 | | 2017 |
| Large-scale discovery of visual features for object recognition D Linsley, S Eberhardt, D Shiebler, T Serre | | 2017 |
| Automated Leaf Analysis with Deep Learning and its Potential for the Fossil Record T Serre, T Nguyen, S Eberhardt, P Wilf, SL Wing Geological Society of America Abstracts 48, 284813, 2016 | | 2016 |
Manfred FahleProfessor for Human Neurobiology, Bremen UniversityAdresă de e-mail confirmată pe uni-bremen.de