Victor Fragoso

31 papers A* 5A 3B 2Journal 12Unranked 8

Year	Rank	Type	Title / 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