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Brian Potetz
Brian Potetz
Professor of Electrical Engineering and Computer Science, University of Kansas
Verified email at ittc.ku.edu
Title
Cited by
Cited by
Year
Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes
B Potetz, TS Lee
JOSA A 20 (7), 1292-1303, 2003
1132003
Efficient belief propagation for vision using linear constraint nodes
B Potetz
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
1002007
Associating classifications with images
M Kulick, H Adam, T Lee, B Potetz
US Patent 9,760,803, 2017
912017
Efficient belief propagation for higher-order cliques using linear constraint nodes
B Potetz, TS Lee
Computer Vision and Image Understanding 112 (1), 39-54, 2008
892008
Cooperative and competitive interactions facilitate stereo computations in macaque primary visual cortex
JM Samonds, BR Potetz, TS Lee
Journal of Neuroscience 29 (50), 15780-15795, 2009
442009
Geo-aware networks for fine-grained recognition
G Chu, B Potetz, W Wang, A Howard, Y Song, F Brucher, T Leung, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
382019
Relative luminance and binocular disparity preferences are correlated in macaque primary visual cortex, matching natural scene statistics
JM Samonds, BR Potetz, TS Lee
Proceedings of the National Academy of Sciences 109 (16), 6313-6318, 2012
332012
Scaling laws in natural scenes and the inference of 3D shape
T Lee, B Potetz
Advances in Neural Information Processing Systems 18, 2005
302005
Recurrent connectivity can account for the dynamics of disparity processing in V1
JM Samonds, BR Potetz, CW Tyler, TS Lee
Journal of Neuroscience 33 (7), 2934-2946, 2013
292013
The role of spiking nonlinearity in contrast gain control and information transmission
Y Yu, B Potetz, TS Lee
Vision research 45 (5), 583-592, 2005
182005
Sample skewness as a statistical measurement of neuronal tuning sharpness
JM Samonds, BR Potetz, TS Lee
Neural computation 26 (5), 860-906, 2014
142014
Spatial anisotropies and temporal fluctuations in extracellular matrix network texture during early embryogenesis
R Loganathan, BR Potetz, BJ Rongish, CD Little
PloS one 7 (5), e38266, 2012
92012
Estimating the Bayes Point Using Linear Knapsack Problems
B Potetz
ICML (International Conference on Machine Learning) 1, 2011
92011
Bayesian classifiers for chemical toxicity prediction
M Mishra, B Potetz, J Huan
2011 IEEE International Conference on Bioinformatics and Biomedicine, 595-599, 2011
62011
Scene statistics and 3D surface perception
B Potetz, TS Lee
Computational Vision: From Surfaces to Objects, 1-25, 2010
52010
Neural encoding of scene statistics for surface and object inference
TS Lee, T Stepleton, B Potetz, JM Samonds
Object Categorization: Computer and Human Vision Perspectives, 451-474, 2008
42008
Disparity and luminance preferences are correlated in macaque V1, matching natural scene statistics
B Potetz, J Samonds, TS Lee
Society for Neuroscience, Atlanta, GA, 2006
32006
Deep learning for the semiautomated analysis of Pap smears
K Chakdar, B Potetz
Medical Applications of Artificial Intelligence, 193-214, 2013
22013
Whitened expectation propagation: Non-lambertian shape from shading and shadow
B Potetz, M Hajiarbabi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
22013
Implications of neuronal interactions on disparity tuning in V1
JM Samonds, BR Potetz, TS Lee
Soc Neurosci Abstr 33 (716.4), 2007
22007
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