Jinyan Guan
Jinyan Guan
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Sampling bedrooms
L Del Pero, J Guan, E Brau, J Schlecht, K Barnard
CVPR 2011, 2009-2016, 2011
Bayesian 3D tracking from monocular video
E Brau, J Guan, K Simek, L Del Pero, CR Dawson, K Barnard
Proceedings of the IEEE International Conference on Computer Vision, 3368-3375, 2013
Multiple-gaze geometry: Inferring novel 3d locations from gazes observed in monocular video
E Brau, J Guan, T Jeffries, K Barnard
Proceedings of the European Conference on Computer Vision (ECCV), 612-630, 2018
Action recognition in the frequency domain
A Tran, J Guan, T Pilantanakitti, P Cohen
arXiv preprint arXiv:1409.0908, 2014
Computational temporal interpersonal emotion systems
EA Butler, J Guan, A Predoehl, E Brau, K Simek, K Barnard
Computational social psychology, 127-143, 2017
Moderated and drifting linear dynamical systems
J Guan, K Simek, E Brau, C Morrison, E Butler, K Barnard
International Conference on Machine Learning, 2473-2482, 2015
An independent component analysis based tool for exploring functional connections in the brain
SM Rolfe, L Finney, RF Tungaraza, J Guan, LG Shapiro, JF Brinkley, ...
Medical Imaging 2009: Image Processing 7259, 677-685, 2009
A similarity retrieval tool for functional magnetic resonance imaging statistical maps
R Tungaraza, J Guan, L Shapiro, JF Brinkley, J Ojemann, J Franklin
International Journal of Biomedical Data Mining 2, 1-12, 2013
A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps
RF Tungaraza, J Guan, S Rolfe, I Atmosukarto, A Poliakov, NM Kleinhans, ...
Medical Imaging 2009: Image Processing 7259, 142-153, 2009
Improving the accuracy of water and bottom properties derived from remote sensing reflectance via artificial neural network
M Zhang, ZP Lee, J Guan
Coastal Ocean Remote Sensing 6680, 69-76, 2007
Bayesian generative modeling for complex dynamical systems
J Guan
The University of Arizona, 2016
Feature Selection and Sample Boosting in Training Artificial Neural Networks
J Guan
Winona State University, 2008
SPM-based and ICA-based Approaches for Functional Magnetic Resonance Imaging (fMRI) Similarity Measures
J Guan
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