I am an Assistant Professor at the Lane department of Computer Science and Electrical Engineering at West Virginia University. I received my PhD from the University of California Santa Barbara in Dec. 2014 under the supervision of Prof. Matthew Turk.

Research Overview

I am interested in statistical modeling and scalable computational techniques for computer vision and machine learning. My aim is to create theoretically sound, robust, and scalable computer vision and machine learning algorithms. I am interested in designing self assessment mechanisms that can reason about the correctness of a decision outcome given a noisy input, e.g., predicting the correctness of a nearest-neighbor classification outcome when matching features, computing non-uniform sampling strategies for speeding up sample-and-consensus model estimations, among others. I have created algorithms that use the statistical theory of extreme values to improve decision making processes in several computer vision and machine learning applications.

To Prospective Students

I am currently looking for a highly motivated and passionate student with an interest in computer vision and machine learning. If you would like to join my group, please send me an email.


News

September 2017 One paper accepted at 3DV 2017 as oral!
July 2017 Awarded an NASA-EPSCoR grant.
July 2017 One paper accepted to BMVC 2017
April 2017 New website for the visual computing lab at WVU
February 2017 Awarded an NSF CRII CISE grant
September 2016 One paper accepted at 3DV 2016
August 2016 I will serve as an Area Chair for WACV 2017.
July 2016. One paper accepted at ICPR 2016.
January 2016. One paper accepted at IEEE WACV 2016.
Summer 2015. Joined the Lane Department of CSEE at WVU
Summer 2015. Our book chapter "Computer Vision for Mobile Augmented Reality" will be appearing in the new edition of Mobile and Cloud Visual Media Computing. Springer.
Spring 2015. Taught CS/ECE 281B Advanced Topics in Computer Vision at UCSB.
December 2014. Successfully defended my PhD Dissertation!
June 2014. Summer internship at Google.
June 2014. Selected for the IEEE CVPR 2014 doctoral consortium and awarded a travel grant.

Students

Graduate Advisees

Demian Gaxiola-Valles (PhD) -- M.S. National Autonomous University of Mexico (UNAM), Mexico
Marcela Mera Trujillo (PhD) -- M.S. WVU, USA
Xiang Gao (MS) -- M.S. Tianjin University, China

Undergraduate Researchers

Benjamin Smith

Alumni

Eiad Kazkaz -- MS - Spring 2017. Now at LG.

Past Visiting Students

Vishwajeet Narwal
Richard Kralik

Publications

GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion

Q. Cui, V. Fragoso, C. Sweeney, P. Sen

In Proc. of the IEEE International Conference on 3D Vision (3DV), Quingdao, China, 2017

PDF Bibtex
ANSAC: Adaptive Non-minimal Sample And Consensus

V. Fragoso, C. Sweeney, P. Sen, M. Turk

In Proc. of the British Machine Vision Conference (BMVC), Imperial College London, London, England, 2017.

PDF Bibtex
Large Scale SfM with the Distributed Camera Model

C. Sweeney, V. Fragoso, T. Hollerer, M. Turk

In Proc. of the IEEE International Conference on 3D Vision (3DV), Stanford Univ., CA, USA, 2016.

PDF (ArXiV) Bibtex
One-class Slab Support Vector Machine

V. Fragoso, W. Scheirer, J. Hespanha, M. Turk

In Proc. of the IAPR International Conference on Pattern Recognition (ICPR), Cancun, QRO, Mexico, 2016.

PDF (ArXiV) Bibtex
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data

C. Torres, V. Fragoso, S. Hammond, J. Fried, B.S. Manjunath

In Proc. of IEEE Winter Applications in Computer Vision (WACV), Lake Placid, NY, USA, 2016.

PDF (IEEE Xplore) PDF (ArXiV) Bibtex
Computer Vision for Mobile Augmented Reality

M. Turk, V. Fragoso

In Mobile Cloud Visual Media Computing: From Interaction to Service, Springer International Publishing, 2015

PDF Bibtex
gDLS: A Scalable Solution to the Generalized Pose and Scale Problem

C. Sweeney, V. Fragoso, T. Höllerer, and M. Turk

In Proc. of European Conference in Computer Vision (ECCV), Zürich, Switzerland, 2014.

PDF Bibtex Code
Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation

V. Fragoso, G. Srivastava, A. Nagar, Z. Li, K. Park, M. Turk

In Proc. IEEE Conf. on Computer Vision and Pattern Recognitioin Workshops (CVPRW), Columbus, OH, USA, 2014.

PDF Bibtex
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory

Victor Fragoso, Pradeep Sen, Sergio Rodriguez, and Matthew Turk.

In Proc. of IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.

PDF Bibtex Theia's implementation
SWIGS: A Swift Guided Sampling Method

Victor Fragoso and Matthew Turk

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, 2013.

PDF Bibtex Theia's implementation
Locating Binary Features for Keypoint Recognition using Noncooperative Games

Victor Fragoso, Matthew Turk, and Joao Hespanha

In Proc. IEEE International Conference on Image Processing (ICIP). Orlando, Florida, USA, 2012.

Student Paper Award Finalist

PDF Bibtex Code
Automatic text detection for mobile augmented reality translation

Marc Petter, Victor Fragoso, Matthew Turk, and Charles Baur

In Proc. IEEE International Conference on Computer Vision (ICCV Workshops). Barcelona, Spain, 2011.

PDF Bibtex Video
TranslatAR: A Mobile Augmented Reality Translator

Victor Fragoso, Steffen Gauglitz, Shane Zamora, Jim Kleban, and Matthew Turk

In Proc. IEEE Workshop on Applications in Computer Vision (WACV). Kona, Hawaii, USA, 2011.

PDF Bibtex Video

Teaching

West Virginia University

Fall 2016 :: CS 350 - Computer Systems Concepts
Website
Fall 2016 :: CS 470 - Introduction to Computer Graphics
Website
Spring 2016, Fall 2017 :: CS 591B - 3D Computer Vision
Website

University of California, Santa Barbara

Spring 2015 :: CS/ECE 281B - Advanced Topics in Computer Vision

Software

Mean Shift Clustering

A threaded C++11 implementation using Eigen.

Code
Optimo: A C++ header library implementing several optimization algorithms.

A C++11 implementation of several optimization algorithms.

Code Documentation
Statx: A C++ library implementing several MLE estimators with focus on Extreme Value Distributions.

A C++11 implementation of several MLE estimators for several Extreme Value Distributions.

Code

Copyright © 2016 - Victor Fragoso