I am deeply interested in all areas of Computer Science; my main research interests, however, lie within the fields of Robotics and Computer Vision. I have also an interest in the fields of Parallel Algorithms and High Performance Computing, Deep Learning, Combinatorial Optimization, and Differential Geometry.
Awards
Faculty Excellence in Scholarship Award, Mayfield College of Engineering, Tarleton State University, The Texas A&M University System, 2022-23
Outstanding Junior Faculty Award, College of Science and Technology, Tarleton State University, The Texas A&M University System, 2021-22
Grants
NASA University Nanosatellite Program, 2024 (PI)
NASA University Nanosatellite Program, 2023 (Co-PI)
Selected Publications
J. Meier, E. Welborn and S. Diamantas. Pothole segmentation and area estimation with thermal imaging using deep neural networks and unmanned aerial vehicles. Machine Vision and Applications 36, 17 (2025). Springer Nature. https://doi.org/10.1007/s00138-024-01637-w
S. Diamantas, E. Reaves and B. Wyatt. A Parallel Algorithm for Background Subtraction: Modeling Lognormal Pixel Intensity Distributions on GPUs (submitted), Video [Parallel Algorithm]
E. Welborn and S. Diamantas. Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2023. Lecture Notes in Computer Science, vol 14362, pp. 370-384, 2023. Springer, Cham (invited for submission to the journal of Machine Vision and Applications). https://doi.org/10.1007/978-3-031-47966-3_29. Video: [Potholes]
K. Blankenship and S. Diamantas. Detection, Tracking, and Speed Estimation of Vehicles: A Homography-based Approach. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering (IMPROVE 2022), pp. 211-218, April 22-24, 2022, Paper: [PDF], Video: [Speed Estimation]
S. Diamantas and P. Dasgupta. Optical Flow-Based Place Recognition: Bridging the Gap Between Simulation and Real-World Experiments. In Proceedings of the 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (IEEE CCWC 2022), pp. 619-624, Las Vegas, NV, USA, 2022
Z. Mueller and S. Diamantas. Modeling a priori Unknown Environments: Place Recognition with Optical Flow Fingerprints. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP, ISBN 978-989-758-488-6, pp. 793-800, 2021, DOI: 10.5220/0010271007930800, Paper: [PDF]
S. Diamantas and K. Alexis. Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving. In Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science, vol 12510, pp. 398-409, Springer 2020, Video: [Optical Flow Vectors]
S. Diamantas. Towards Resolving the Kidnapped Robot Problem: Topological Localization from Crowdsourcing and Georeferenced Images. In Arai K., Kapoor S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 943, pp. 551-563, Springer 2020
S. Diamantas and K. Alexis. Modeling Pixel Intensities with Log-Normal Distributions for Background Subtraction. In IEEE International Conference on Imaging Systems and Techniques, pp. 1-6, Beijing, China, October 18-20, 2017
G. Bardas, S. Astaras, S. Diamantas and A. Pnevmatikakis. 3D Tracking and Classification System Using a Monocular Camera. Wireless Personal Communications, vol. 92, no. 1, pp. 63-85, Springer, Berlin, Heidelberg 2017
S. Diamantas, S. Astaras and A. Pnevmatikakis. Depth Estimation in Still Images and Videos Using a Motionless Monocular Camera. In IEEE International Conference on Imaging Systems and Techniques, pp. 129-134, Chania, Crete, Greece, October 4-6, 2016, Video: [depth estimation]
S. Diamantas and P. Dasgupta. Active Vision Speed Estimation from Optical Flow. In Towards Autonomous Robotic Systems, A. Natraj et al. (Eds.): TAROS 2013, Revised Selected Papers, Lecture Notes in Artificial Intelligence, Vol. 8069, pp. 173-184, Springer Berlin Heidelberg 2014 (invited for submission to the journal of Robotics and Autonomous Systems), Videos: [principal point estimation] [velocity estimation]
S. Diamantas and P. Dasgupta. An Active Vision Approach to Height Estimation with Optical Flow. In Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, Part I, Vol. 8033, pp. 160-170, Springer, Berlin, Heidelberg 2013
M. Momeni-K., S. Diamantas, F. Ruggiero and B. Siciliano. Height Estimation from a Single Camera View. In International Conference on Computer Vision Theory and Applications, pp. 358-364, Rome, Italy, 2012
S. Diamantas, A. Oikonomidis and R. M. Crowder. Biologically Inspired Robot Navigation by Exploiting Optical Flow Patterns. In International Conference on Computer Vision Theory and Applications, pp. 645-652, Algarve, Portugal, 2011
S. Diamantas, A. Oikonomidis and R. M. Crowder. Depth Computation Using Optical Flow and Least Squares. In IEEE/SICE International Symposium on System Integration, pp. 7-12, Sendai, Japan, 2010
S. Diamantas, A. Oikonomidis and R. M. Crowder. Towards Optical Flow-based Robotic Homing. In International Joint Conference on Neural Networks, Special Session on Biologically Inspired Computational Vision (IEEE World Congress on Computational Intelligence), pp. 1-9, Barcelona, Spain, 2010
S. Diamantas, A. Oikonomidis and R. M. Crowder. Depth Estimation for Autonomous Robot Navigation: A Comparative Approach. In IEEE International Conference on Imaging Systems and Techniques, pp. 426-430, Thessaloniki, Greece, 2010
S. Diamantas and R. M. Crowder. Localisation and Mapping Using a Laser Range Finder: A Goal-Seeking Approach. In IEEE International Conference on Autonomic and Autonomous Systems, pp. 270-276, Valencia, Spain, April 20-25, 2009
Students Supervised
Graduate
Sean Wallinger, MS student, Thesis Research: Three Camera Active Vision System for Accurate and Robust 3D Perception (July 2024; now a Lecturer at TSU)
Joe Meier, MS student, Thesis Research: Monocular Depth Estimation Using Deep Learning with Active Vision (May 2024; now a Lecturer at TSU)
Ethan Welborn, MS student, Thesis Research: Detecting Potholes Using Deep Neural Networks with Unmanned Aerial Vehicles (May 2023; now a Lecturer at TSU)
Undergraduate
Numerous undergraduate students in Robotics, Computer Vision, Parallel Algorithms, and Embedded Systems
Research Activities
Faculty Excellence in Scholarship Award, Mayfield College of Engineering, Tarleton State University, Texas A&M University System, 2022-23
Outstanding Junior Faculty Award, College of Science and Technology, Tarleton State University, Texas A&M University System, 2021-22
Chair, Session on Vision for Robotics, International Symposium on Visual Computing, San Diego, CA, USA, 2020
Chair, Session on 3D Reconstruction, International Symposium on Visual Computing, San Diego, CA, 2020
Chair, Session on Deep Learning for Vision, Computer Vision Conference, Las Vegas, NV, USA, 2019
Chair, Session on Computer Vision Applications, Computer Vision Conference, Las Vegas, NV, USA, 2019
Chair, Session on Image Analysis and Processing II, IEEE International Conference on Imaging Systems and Techniques, Chania, Crete, Greece, 2016
Chair, Session on Motion, Tracking, and Recognition, International Symposium on Visual Computing, Rethymnon, Crete, Greece, 2013
Chair, Special Session on Advanced Vision and Inspection Techniques, IEEE International Conference on Imaging Systems and Techniques, Thessaloniki, Greece, 2010
Invited Talk, University of Denver Unmanned Systems Research Institute, Denver, CO, USA, October 15, 2013
Co-organized (and invited the main speaker from DU2SRI (University of Denver Unmanned Systems Research Institute)) the workshop on Unmanned Aircraft Systems, University of Nebraska, NE, USA, August 12-13, 2013
Program Committee, IEEE International Conference on Image Processing (IEEE ICIP), 2018-2021
Program Committee, International Symposium on Visual Computing (ISVC), 2014-
Program Committee, International Conference on Computer Vision Theory and Applications (VISAPP), 2014-
Program Committee, International Conference on Autonomic and Autonomous Systems, 2010-
Program Committee, IEEE Annual Computing and Communication Workshop and Conference (CCWC), 2022-
Program Committee, IEEE International Conference on Imaging Systems and Techniques, 2016-17
Program Committee, SETN Workshop on AI for the Smart Grid (AI4SG), 2016
Program Committee, Towards Autonomous Robotic Systems, 2013
Reviewer, IEEE International Conference on Robotics and Automation (IEEE ICRA), 2025
Reviewer, IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE IROS), 2018
Editorial Board, International Journal on Advances in Intelligent Systems, 2012-
Reviewer, Sensors (MDPI), 2020-
Reviewer, Computational & Applied Mathematics (Springer), 2019
Reviewer, Journal of Intelligent & Robotic Systems (Springer), 2012-
Reviewer, Journal of Intelligent Service Robotics (Springer), 2019-
Reviewer, Sensor Review, 2019
Reviewer, International Journal of Remote Sensing/Remote Sensing Letters, 2014-15
Reviewer, ACM International Conference on Multimodal Interaction (ACM ICMI), 2015-16
Reviewer, International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2013
Media Coverage