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 DELINE8K: A Synthetic Pipeline for the Semantic Segmentation of Historical Documents.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 .