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Tony Martinez

Tony Martinez

Emeritus Professor
Emeritus Faculty

Research Interests

Machine Learning, Neural Networks, Pattern Recognition, Non von-Neumann Computing, Massively Parallel Processing

Education

  • PHD, COMPUTER SCIENCE , UCLA (1986)
  • MS, COMPUTER SCIENCE , UCLA (1983)
  • BS, COMPUTER SCIENCE , Brigham Young University (1982)

Honors and Awards

  • BYU Alumni Professorship, BYU Alumni Association (2013 - 2016)
  • BYU Adjunct Professor of Religious Education, BYU Religion Department (1991 - 2000)
  • BYU Karl G. Maeser Research and Creative Arts Award (1997 - 1997)
  • CPMS Excellence in Teaching Award (1997 - 1997)
  • University Devotional Speaker (1996 - 1996)

Administrative Assignments

  • Computer Science: Department Chair (1999 - 2008)

Memberships

  • INNS (International Neural Network Society) (2011 - Present)
  • IEEE (1987 - 2013)

Professional Citizenship

  • Editorial Review Board Member, Journal of Artificial Intelligence and Deep learning (2016 - Present)
  • Editorial Review Board Member, International Journal of Computational Intelligence (2006 - Present)
  • Reviewer, Ad Hoc Reviewer, Journal/Conference Review - Multiple (2005 - Present)

Courses Taught

2025

C S 312

2024

C S 270 C S 312

2023

C S 201R C S 312

2022

C S 312 C S 472

2021

C S 312 C S 472

2020

C S 472

2019

C S 312 C S 478 C S 678

2018

C S 142 C S 478 C S 678

2017

C S 142 C S 478 C S 678

2016

C S 142 C S 478 C S 778R

2015

C S 312 C S 478 C S 678

2014

C S 312 C S 478 C S 678

2013

C S 312 C S 478 C S 678

2012

C S 312 C S 478 REL C 325

2011

C S 312 C S 478 C S 678 REL C 325

2010

C S 312 C S 478 C S 678 REL C 325

2009

C S 312 C S 678 C S 778R

2007

C S 478

2006

C S 478

2005

C S 478

2004

C S 678

Publications

Conference Proceedings

Archibald T, Martinez TR. 2024. DELINE8K: A Synthetic Pipeline for the Semantic Segmentation of Historical Documents.
Lin A, Martinez TR. 2024. Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation.
Archibald T, Martinez TR. 2024. Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification.
Lin A, Martinez TR. Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation.
Martinez TR, Lin F, Price B. 2022. Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks.
Martinez TR, Archibald T, Chan A, Mason. 2021. TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text. [place unknown]: Springer. [Website]
Lin A, Wilhelm C, Martinez TR. 2021. Two-Hand Global 3D Pose Estimation Using Monocular RGB.
Brodie M, Rasmussen B, Tensmeyer C, Martinez TR. 2020. CoachGAN. Tensmeyer C, Morariu V, Price B, Cohen S, Martinez TR. 2019. Deep Splitting and Merging for Table Structure Decomposition.
Tensmeyer C, Brodie M, Saunders D, Martinez TR. 2019. Generating Realistic Binarization Data with Generative Adversarial Networks.
Tensmeyer C, Martinez TR. 2019. Robust Keypoint Regression. Smith M, Martinez TR. 2014. Reducing the Effects of Detrimental Instances.
Monteith K, Brown BL, Ventura DA, Martinez TR. 2013. Automatic Music Generation for Inducing Physiological Responses.
Monteith K, Martinez TR, Ventura DA. 2010. Automatic Generation of Music for Inducing Emotive Response.
Monteith K, Martinez TR, Ventura DA. 2010. Computational Modeling of Emotional Content in Music.

Journal Article, Academic Journal

Martinez TR, Tensmeyer C. 2021. Historical Document Image Binarization – A Review. Springer Nature.
Lin F, Martinez TR, Chao Y. 2020. Flow Adaptive Video Object Segmentation. Image and Vision Computation. 12.
Smith MR, Martinez TR. 2016. The Robustness of Majority Voting Compared to Filtering Misclassified Instances in Supervised Classification Tasks. Artificial Intelligence Review. 1-26.
Rudolpoh G, Martinez TR. 2015. Finding the Real Differences Between Learning Algorithms. International Journal on Artificial Intelligence Tools. 23:20.
Smith M, Martinez TR. 2014. A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems. Computational Intelligence.
Smith M, Martinez TR, Giraud-Carrier CG. 2014. An Instance Level Analysis of Data Complexity. Machine Learning Journal. 95(2):225-256.
Gashler M, Smith M, Morris R, Martinez TR. 2014. Missing Value Imputation With Unsupervised Backpropagation. Computational Intelligence. 21.
Peterson A, Martinez TR. 2010. Using Learning Algorithm Behavior to Chart Task Space: The DICES Distance. Intelligent Data Analysis. 14(3):355-367.

Presentations

Martinez TR. “Deep Learning” and “Active Learning” with Applications. Adobe Machine Learning Summit. Alpine, Utah. 2014 .
Martinez TR. Improving Classification Accuracy by Identifying and Removing Instances that Should be Misclassified. IJCNN. San Jose, CA. 2011 .