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ORCIDVictor Fragoso
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- affiliation (PhD 2014): University of California, Santa Barbara, USA
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2020 – today
- 2024
[j2]Chang Liu
, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen:
HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression. Int. J. Comput. Vis. 132(6): 1913-1927 (2024)- 2023
- [j1]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. IEEE Robotics Autom. Lett. 8(5): 2756-2763 (2023) - 2022
- [i10]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. CoRR abs/2211.01513 (2022) - 2021
- [c18]Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha:
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence. CVPR 2021: 13153-13163 - 2020
- [c17]Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. 3DV 2020: 1008-1017 - [c16]Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. 3DV 2020: 1117-1126 - [c15]Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew Turk, Mei Chen:
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. ACCV (3) 2020: 338-355 - [c14]Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. CVPR 2020: 2207-2216 - [c13]Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CVPR 2020: 8733-8742 - [i9]Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. CoRR abs/2004.02052 (2020) - [i8]Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CoRR abs/2005.10524 (2020) - [i7]Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. CoRR abs/2011.13817 (2020) - [i6]Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. CoRR abs/2011.13894 (2020)
2010 – 2019
- 2017
- [c12]Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen:
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion. 3DV 2017: 165-174 - [c11]Victor Fragoso, Christopher Sweeney, Pradeep Sen, Matthew Turk:
ANSAC: Adaptive Non-Minimal Sample and Consensus. BMVC 2017 - [i5]Victor Fragoso, Chris Sweeney, Pradeep Sen, Matthew Turk:
ANSAC: Adaptive Non-minimal Sample and Consensus. CoRR abs/1709.09559 (2017) - [i4]Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen:
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion. CoRR abs/1710.01602 (2017) - 2016
- [c10]Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk:
Large Scale SfM with the Distributed Camera Model. 3DV 2016: 230-238 - [c9]Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew Turk:
One-class slab support vector machine. ICPR 2016: 420-425 - [c8]Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath:
Eye-CU: Sleep pose classification for healthcare using multimodal multiview data. WACV 2016: 1-9 - [i3]Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath:
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data. CoRR abs/1602.02343 (2016) - [i2]Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk:
Large Scale SfM with the Distributed Camera Model. CoRR abs/1607.03949 (2016) - [i1]Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew Turk:
One-Class Slab Support Vector Machine. CoRR abs/1608.01026 (2016) - 2015
- [p1]Matthew Turk, Victor Fragoso:
Computer Vision for Mobile Augmented Reality. Mobile Cloud Visual Media Computing 2015: 3-42 - 2014
- [b1]Victor Manuel Fragoso:
Estimating Confidences for Classifier Decisions using Extreme Value Theory. University of California, Santa Barbara, USA, 2014 - [c7]Victor Fragoso, Gaurav Srivastava, Abhishek Nagar, Zhu Li, Kyungmo Park, Matthew Turk:
Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation. CVPR Workshops 2014: 126-131 - [c6]Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk:
gDLS: A Scalable Solution to the Generalized Pose and Scale Problem. ECCV (4) 2014: 16-31 - 2013
- [c5]Victor Fragoso, Matthew Turk:
SWIGS: A Swift Guided Sampling Method. CVPR 2013: 2770-2777 - [c4]Victor Fragoso, Pradeep Sen, Sergio Rodríguez, Matthew Turk:
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory. ICCV 2013: 2472-2479 - 2012
- [c3]Victor Fragoso, Matthew Turk, João Pedro Hespanha:
Locating binary features for keypoint recognition using noncooperative games. ICIP 2012: 2389-2392 - 2011
- [c2]Marc Petter, Victor Fragoso, Matthew Turk, Charles Baur:
Automatic text detection for mobile augmented reality translation. ICCV Workshops 2011: 48-55 - [c1]Victor Fragoso, Steffen Gauglitz, Shane Zamora, Jim Kleban, Matthew Turk:
TranslatAR: A mobile augmented reality translator. WACV 2011: 497-502
Coauthor Index
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