Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon, C Farrar, D Mascareņas Mechanical Systems and Signal Processing 85, 567-590, 2017 | 307 | 2017 |
Blind identification of full-field vibration modes of output-only structures from uniformly-sampled, possibly temporally-aliased (sub-Nyquist), video measurements Y Yang, C Dorn, T Mancini, Z Talken, S Nagarajaiah, G Kenyon, C Farrar, ... Journal of Sound and Vibration 390, 232-256, 2017 | 107 | 2017 |
Interpreting individual classifications of hierarchical networks W Landecker, MD Thomure, LMA Bettencourt, M Mitchell, GT Kenyon, ... 2013 IEEE symposium on computational intelligence and data mining (CIDM), 32-38, 2013 | 76 | 2013 |
Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures Y Yang, C Dorn, T Mancini, Z Talken, J Theiler, G Kenyon, C Farrar, ... Structural Health Monitoring 17 (3), 514-531, 2018 | 71 | 2018 |
A mathematical model of the cerebellar-olivary system I: self-regulating equilibrium of climbing fiber activity GT Kenyon, JF Medina, MD Mauk Journal of computational neuroscience 5, 17-33, 1998 | 68 | 1998 |
A model of high-frequency oscillatory potentials in retinal ganglion cells GT Kenyon, B Moore, J Jeffs, KS Denning, GJ Stephens, BJ Travis, ... Visual neuroscience 20 (5), 465-480, 2003 | 49 | 2003 |
Gap junctions with amacrine cells provide a feedback pathway for ganglion cells within the retina GT Kenyon, DW Marshak Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1998 | 37 | 1998 |
A reconfigurable computing framework for multi-scale cellular image processing R Porter, J Frigo, A Conti, N Harvey, G Kenyon, M Gokhale Microprocessors and Microsystems 31 (8), 546-563, 2007 | 36 | 2007 |
A model of long-term memory storage in the cerebellar cortex: a possible role for plasticity at parallel fiber synapses onto stellate/basket interneurons GT Kenyon Proceedings of the National Academy of Sciences 94 (25), 14200-14205, 1997 | 35 | 1997 |
Replicating kernels with a short stride allows sparse reconstructions with fewer independent kernels PF Schultz, DM Paiton, W Lu, GT Kenyon arXiv preprint arXiv:1406.4205, 2014 | 33 | 2014 |
Correlated firing improves stimulus discrimination in a retinal model GT Kenyon, J Theiler, JS George, BJ Travis, DW Marshak Neural Computation 16 (11), 2261-2291, 2004 | 33 | 2004 |
Deep sparse coding for invariant multimodal halle berry neurons E Kim, D Hannan, G Kenyon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 27 | 2018 |
Time-to-collision estimation from motion based on primate visual processing JM Galbraith, GT Kenyon, RW Ziolkowski IEEE transactions on pattern analysis and machine intelligence 27 (8), 1279-1291, 2005 | 27 | 2005 |
A mathematical model of the cerebellar-olivary system II: motor adaptation through systematic disruption of climbing fiber equilibrium GT Kenyon, JF Medina, MD Mauk Journal of computational neuroscience 5, 71-90, 1998 | 27 | 1998 |
Large-scale functional models of visual cortex for remote sensing SP Brumby, G Kenyon, W Landecker, C Rasmussen, S Swaminarayan, ... 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009), 1-6, 2009 | 24 | 2009 |
Image classification using quantum inference on the d-wave 2x NTT Nguyen, GT Kenyon 2018 IEEE International Conference on Rebooting Computing (ICRC), 1-7, 2018 | 22 | 2018 |
See globally, spike locally: oscillations in a retinal model encode large visual features GJ Stephens, S Neuenschwander, JS George, W Singer, GT Kenyon Biological cybernetics 95, 327-348, 2006 | 22 | 2006 |
A little robustness goes a long way: Leveraging robust features for targeted transfer attacks J Springer, M Mitchell, G Kenyon Advances in Neural Information Processing Systems 34, 9759-9773, 2021 | 21 | 2021 |
Modeling biological immunity to adversarial examples E Kim, J Rego, Y Watkins, GT Kenyon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
Object detection approach using generative sparse, hierarchical networks with top-down and lateral connections for combining texture/color detection and shape/contour detection DM Paiton, GT Kenyon, SP Brumby, PF Schultz, JS George US Patent 9,092,692, 2015 | 21 | 2015 |