| Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes B Potetz, TS Lee JOSA A 20 (7), 1292-1303, 2003 | 122 | 2003 |
| Associating classifications with images M Kulick, H Adam, T Lee, B Potetz US Patent 9,760,803, 2017 | 121 | 2017 |
| Efficient belief propagation for vision using linear constraint nodes B Potetz 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 102 | 2007 |
| 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 | 90 | 2008 |
| 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 | 64 | 2019 |
| 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 | 43 | 2009 |
| 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 | 37 | 2012 |
| 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 | 30 | 2013 |
| Scaling laws in natural scenes and the inference of 3D shape T Lee, B Potetz Advances in Neural Information Processing Systems 18, 2005 | 30 | 2005 |
| 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 | 19 | 2005 |
| Sample skewness as a statistical measurement of neuronal tuning sharpness JM Samonds, BR Potetz, TS Lee Neural computation 26 (5), 860-906, 2014 | 14 | 2014 |
| 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 | 13 | 2012 |
| Estimating the Bayes Point Using Linear Knapsack Problems B Potetz ICML (International Conference on Machine Learning) 1, 2011 | 9 | 2011 |
| Bayesian classifiers for chemical toxicity prediction M Mishra, B Potetz, J Huan 2011 IEEE International Conference on Bioinformatics and Biomedicine, 595-599, 2011 | 8 | 2011 |
| Scene statistics and 3D surface perception B Potetz, TS Lee Computational Vision: From Surfaces to Objects, 1-25, 2010 | 5 | 2010 |
| 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 | 4 | 2008 |
| Deep learning for the semiautomated analysis of Pap smears K Chakdar, B Potetz Medical Applications of Artificial Intelligence, 193-214, 2013 | 3 | 2013 |
| Disparity and luminance preference are correlated in macaque V1, matching natural scene statistics BR Potetz, JM Samonds, TS Lee Soc Neurosci abstract, 2006 | 3 | 2006 |
| Neurophysiological evidence of cooperative mechanisms for stereo computation J Samonds, B Potetz, T Lee Advances in Neural Information Processing Systems 19, 2006 | 3 | 2006 |
| 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 | 2 | 2013 |
