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Author search results
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- Victor Fragoso
aka: Victor Manuel Fragoso
University of California, Santa Barbara, USA
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Publication search results
found 36 matches
- 2024
- 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
- 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) - Fernando U. Osornio García
, Gilberto A. Fragoso González
, Mayté V. Martínez Pérez
, Fernando Báez Martínez
, Mario H. Salas Barraza
, Víctor M. González
:
Emotional Analysis through EEG on In-Store Journey - Pilot Methodology for Evocation of Emotions Through Video Stimuli to Measure Performance Metrics Using EEG Emotiv EPOC+ on In-Store Experiences. HCI (29) 2023: 155-169 - 2022
- 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
- Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha:
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence. CVPR 2021: 13153-13163 - 2020
- Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. 3DV 2020: 1117-1126 - Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. 3DV 2020: 1008-1017 - Jedrzej Kozerawski, Victor Fragoso, Nikolaos Karianakis, Gaurav Mittal, Matthew A. Turk, Mei Chen:
BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images. ACCV (3) 2020: 338-355 - Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. CVPR 2020: 2207-2216 - Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CVPR 2020: 8733-8742 - Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. CoRR abs/2004.02052 (2020) - Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. CoRR abs/2005.10524 (2020) - Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. CoRR abs/2011.13817 (2020) - Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. CoRR abs/2011.13894 (2020) - 2018
- Kelvia Aragão Fragoso, Alisson da Conceição Ferreira, Dayse Gonçalves Correia Bandeira, Fábio Alencar Mendonça, Joel J. P. C. Rodrigues
, Victor Hugo C. de Albuquerque
, Glendo de Freitas Guimarães:
A novel remote optical coding for PON monitoring systems using fiber bragg grating. Telecommun. Syst. 69(1): 27-37 (2018) - 2017
- Qiaodong Cui
, Victor Fragoso, Chris Sweeney, Pradeep Sen
:
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion. 3DV 2017: 165-174 - Victor Fragoso, Christopher Sweeney, Pradeep Sen, Matthew A. Turk:
ANSAC: Adaptive Non-Minimal Sample and Consensus. BMVC 2017 - Victor Fragoso, Chris Sweeney, Pradeep Sen, Matthew A. Turk:
ANSAC: Adaptive Non-minimal Sample and Consensus. CoRR abs/1709.09559 (2017) - Qiaodong Cui, Victor Fragoso, Chris Sweeney, Pradeep Sen:
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion. CoRR abs/1710.01602 (2017) - 2016
- Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew A. Turk:
Large Scale SfM with the Distributed Camera Model. 3DV 2016: 230-238 - Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew A. Turk:
One-class slab support vector machine. ICPR 2016: 420-425 - 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 - Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew A. Turk:
One-Class Slab Support Vector Machine. CoRR abs/1608.01026 (2016) - Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew A. Turk:
Large Scale SfM with the Distributed Camera Model. CoRR abs/1607.03949 (2016) - 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) - 2015
- Eduardo Ramos-Díaz, Víctor González-Huitrón
, Volodymyr I. Ponomaryov, Araceli Hernandez-Fragoso:
2D to 3D conversion implemented in different hardware. Real-Time Image and Video Processing 2015: 940006 - Matthew A. Turk, Victor Fragoso:
Computer Vision for Mobile Augmented Reality. Mobile Cloud Visual Media Computing 2015: 3-42 - 2014
- Victor Manuel Fragoso:
Estimating Confidences for Classifier Decisions using Extreme Value Theory. University of California, Santa Barbara, USA, 2014 - Victor Fragoso, Gaurav Srivastava, Abhishek Nagar, Zhu Li, Kyungmo Park, Matthew A. Turk:
Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation. CVPR Workshops 2014: 126-131 - Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew A. Turk:
gDLS: A Scalable Solution to the Generalized Pose and Scale Problem. ECCV (4) 2014: 16-31
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