| Capturing and aligning panoramic image and depth data K Simek, D Gausebeck, MT Bell US Patent 10,848,731, 2020 | 202 | 2020 |
| Dissecting the camera matrix, part 3: The intrinsic matrix K Simek URL http://ksimek. github. io/2013/08/13/intrinsic, 2013 | 28 | 2013 |
| 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 | 26 | 2013 |
| Gaussian process shape models for bayesian segmentation of plant leaves K Simek, K Barnard Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP …, 2015 | 14 | 2015 |
| Computational temporal interpersonal emotion systems EA Butler, J Guan, A Predoehl, E Brau, K Simek, K Barnard Computational social psychology, 127-143, 2017 | 10 | 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 | 8 | 2015 |
| Dissecting the Camera Matrix, Part 2: The Extrinsic Matrix K Simek On sightations, 2012 | 7 | 2012 |
| Multi-resolution voxel meshing M Meilland, A Predoehl, KL Simek, M Chuang, PAP Rodriguez US Patent 11,328,481, 2022 | 6 | 2022 |
| Branching gaussian processes with applications to spatiotemporal reconstruction of 3d trees K Simek, R Palanivelu, K Barnard Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 6 | 2016 |
| Multi-resolution voxel meshing M Meilland, A Predoehl, KL Simek, M Chuang, PAP Rodriguez US Patent 11,928,779, 2024 | 1 | 2024 |
| Capturing and aligning panoramic image and depth data K Simek, DA Gausebeck, MT Bell US Patent App. 18/308,639, 2023 | 1 | 2023 |
| Capturing and aligning panoramic image and depth data K Simek, D Gausebeck, MT Bell US Patent 11,677,920, 2023 | 1 | 2023 |
| Applying Spatial Restrictions to Data in an Electronic Device DT Ramakrishnan, BJ Van Ryswyk, R Klapfer, AP Saarinen, KL Simek, ... US Patent App. 18/339,104, 2024 | | 2024 |
| Toggling Operating Modes For Generating 3D Representations JV Hedberg, C Cheron, M Sati, KL Simek US Patent App. 18/093,364, 2023 | | 2023 |
| Branching Gaussian Process Models for Computer Vision K Simek The University of Arizona., 2016 | | 2016 |
| Supplementary Material: Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees K Simek, R Palanivelu, K Barnard | | |
Kobus BarnardProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu