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Sven Eberhardt
Sven Eberhardt
Verified email at brown.edu - Homepage
Title
Cited by
Cited by
Year
Learning what and where to attend
D Linsley, D Shiebler, S Eberhardt, T Serre
arXiv preprint arXiv:1805.08819, 2018
1312018
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
862019
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
492017
How deep is the feature analysis underlying rapid visual categorization?
S Eberhardt, JG Cader, T Serre
Advances in neural information processing systems 29, 2016
472016
Global-and-local attention networks for visual recognition
D Linsley, D Shiebler, S Eberhardt, T Serre
Benefits 64 (1), 2018
382018
Peripheral pooling is tuned to the localization task
S Eberhardt, C Zetzsche, K Schill
Journal of Vision 16 (2), 14-14, 2016
82016
Low-level global features for vision-based localizations.
S Eberhardt, C Zetzsche
KIK@ KI, 5-12, 2013
62013
Learning what and where to attend. arXiv
D Linsley, D Shiebler, S Eberhardt, T Serre
arXiv preprint arXiv:1805.08819, 2018
52018
StomataCounter: a deep learning method applied to automatic stomatal identification and counting
K Fetter, S Eberhardt, RS Barclay, S Wing, SR Keller
bioRxiv, 2018
42018
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
42017
From pattern recognition to place identification
S Eberhardt, T Kluth, C Zetzsche, K Schill
Spatial cognition, international workshop on place-related knowledge …, 2012
32012
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
22013
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
12019
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
12018
Analysis and Modeling of Visual Invariance for Object Recognition and Spatial Cognition
S Eberhardt
Universität Bremen, 2015
12015
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
Indoor place categorization based on adaptive partitioning of texture histograms
S Eberhardt
ScienceOpen Research, 2014
2014
Self-localization on texture statistics
S Eberhardt, C Zetzsche
2014 IEEE International Conference on Image Processing (ICIP), 976-980, 2014
2014
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