Victor Fragoso

31 papers A* 5A 3B 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression.
Int. J. Comput. Vis.
Chang Liu, Gaurav Mittal, Nikolaos Karianakis, Victor Fragoso, Ye Yu, Yun Fu, Mei Chen
2023 J jnl
Optimizing Fiducial Marker Placement for Improved Visual Localization.
IEEE Robotics Autom. Lett.
Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
2022 J jnl
Optimizing Fiducial Marker Placement for Improved Visual Localization.
CoRR
Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard
2021 A* conf
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence.
CVPR
Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha
2020 — conf
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images.
ACCV (3)
Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew Turk, Mei Chen
2020 — conf
Efficient Scene Compression for Visual-based Localization.
3DV
Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso
2020 J jnl
Efficient Scene Compression for Visual-based Localization.
CoRR
Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso
2020 — conf
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints.
3DV
Victor Fragoso, Sudipta N. Sinha
2020 J jnl
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints.
CoRR
Victor Fragoso, Sudipta N. Sinha
2020 A* conf
HyperSTAR: Task-Aware Hyperparameters for Deep Networks.
CVPR
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
2020 J jnl
HyperSTAR: Task-Aware Hyperparameters for Deep Networks.
CoRR
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
2020 A* conf
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors.
CVPR
Victor Fragoso, Joseph DeGol, Gang Hua
2020 J jnl
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors.
CoRR
Victor Fragoso, Joseph DeGol, Gang Hua
2017 A conf
ANSAC: Adaptive Non-Minimal Sample and Consensus.
BMVC
Victor Fragoso, Christopher Sweeney, Pradeep Sen, Matthew Turk
2017 J jnl
ANSAC: Adaptive Non-minimal Sample and Consensus.
CoRR
Victor Fragoso, Chris Sweeney, Pradeep Sen, Matthew Turk
2017 — conf
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion.
3DV
Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen
2017 J jnl
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion.
CoRR
Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen
2016 J jnl
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data.
CoRR
Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath
2016 A conf
Eye-CU: Sleep pose classification for healthcare using multimodal multiview data.
WACV
Carlos Torres, Victor Fragoso, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath
2016 — conf
Large Scale SfM with the Distributed Camera Model.
3DV
Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk
2016 J jnl
Large Scale SfM with the Distributed Camera Model.
CoRR
Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk
2016 J jnl
One-Class Slab Support Vector Machine.
CoRR
Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew Turk
2016 B conf
One-class slab support vector machine.
ICPR
Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew Turk
2015 — ch.
Computer Vision for Mobile Augmented Reality.
Mobile Cloud Visual Media Computing
Matthew Turk, Victor Fragoso
2014 — conf
Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation.
CVPR Workshops
Victor Fragoso, Gaurav Srivastava, Abhishek Nagar, Zhu Li, Kyungmo Park, Matthew Turk
2014 — conf
gDLS: A Scalable Solution to the Generalized Pose and Scale Problem.
ECCV (4)
Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk
2013 A* conf
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory.
ICCV
Victor Fragoso, Pradeep Sen, Sergio Rodríguez, Matthew Turk
2013 A* conf
SWIGS: A Swift Guided Sampling Method.
CVPR
Victor Fragoso, Matthew Turk
2012 B conf
Locating binary features for keypoint recognition using noncooperative games.
ICIP
Victor Fragoso, Matthew Turk, João Pedro Hespanha
2011 — conf
Automatic text detection for mobile augmented reality translation.
ICCV Workshops
Marc Petter, Victor Fragoso, Matthew Turk, Charles Baur
2011 A conf
TranslatAR: A mobile augmented reality translator.
WACV
Victor Fragoso, Steffen Gauglitz, Shane Zamora, Jim Kleban, Matthew Turk