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Jonathan Ventura
Jonathan Ventura
Department of Computer Science and Software Engineering, Cal Poly
Verified email at calpoly.edu - Homepage
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
20732018
Global localization from monocular slam on a mobile phone
J Ventura, C Arth, G Reitmayr, D Schmalstieg
IEEE transactions on visualization and computer graphics 20 (4), 531-539, 2014
1942014
A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery
GA Fricker, JD Ventura, JA Wolf, MP North, FW Davis, J Franklin
Remote Sensing 11 (19), 2326, 2019
1852019
The overlooked elephant of object detection: Open set
A Dhamija, M Gunther, J Ventura, T Boult
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
1802020
Instant outdoor localization and slam initialization from 2.5 d maps
C Arth, C Pirchheim, J Ventura, D Schmalstieg, V Lepetit
IEEE Transactions on Visualization & Computer Graphics 21 (11), 1309-1318, 2015
1552015
An aggregated multicolumn dilated convolution network for perspective-free counting
D Deb, J Ventura
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1062018
Wide-area scene mapping for mobile visual tracking
J Ventura, T Höllerer
2012 IEEE international symposium on mixed and augmented reality (ISMAR), 3-12, 2012
932012
Zero-baseline 3d map initialization
C Pirchheim, J Ventura, D Schmalstieg, C Arth, V Lepetit
US Patent App. 14/743,990, 2015
722015
Live tracking and mapping from both general and rotation-only camera motion
S Gauglitz, C Sweeney, J Ventura, M Turk, T Höllerer
2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 13-22, 2012
692012
Dilated convolutions for brain tumor segmentation in MRI scans
M Moreno Lopez, J Ventura
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
662018
A minimal solution to the generalized pose-and-scale problem
J Ventura, C Arth, G Reitmayr, D Schmalstieg
Proceedings of the IEEE conference on computer vision and pattern …, 2014
662014
The City of Sights: Design, construction, and measurement of an Augmented Reality stage set
L Gruber, S Gauglitz, J Ventura, S Zollmann, M Huber, M Schlegel, ...
Mixed and Augmented Reality (ISMAR), 2010 9th IEEE International Symposium …, 2010
582010
An efficient minimal solution for multi-camera motion
J Ventura, C Arth, V Lepetit
Proceedings of the IEEE international conference on computer vision, 747-755, 2015
562015
Fast annotation and modeling with a single-point laser range finder
J Wither, C Coffin, J Ventura, T Hollerer
Mixed and Augmented Reality, 2008. ISMAR 2008. 7th IEEE/ACM International …, 2008
462008
Evaluation of MRI denoising methods using unsupervised learning
M Moreno López, JM Frederick, J Ventura
Frontiers in Artificial Intelligence 4, 642731, 2021
442021
Augmented reality lighting with dynamic geometry
L Gruber, D Schmalstieg, JD Ventura
US Patent App. 14/593,949, 2015
442015
Environment mapping with automatic motion model selection
S Gauglitz, CM Sweeney, JD Ventura, MA Turk, T Höllerer
US Patent 9,495,761, 2016
422016
Image-space illumination for augmented reality in dynamic environments
L Gruber, J Ventura, D Schmalstieg
2015 IEEE Virtual Reality (VR), 127-134, 2015
392015
Self-supervised poisson-gaussian denoising
W Khademi, S Rao, C Minnerath, G Hagen, J Ventura
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
362021
Generating a depth map based on a single image
SJ DiVerdi, JD Ventura
US Patent 8,665,258, 2014
362014
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