Paul Tunison

Paul Tunison

Senior R&D Engineer

Originally starting as an intern in November 2010, Paul Tunison joined the Kitware team in July 2011 as an R&D Engineer in the Computer Vision department. Paul graduating with a BS (magna cum laude) in Computer Science.

At Union, Paul performed independent undergraduate reseach in creating a test-bed system for Natural Language Processing in Second Life. Paul also performed research in leveraging evolutionary algorithms to adjust game difficulty online, or while a player was actively playing a game. This research culminated in a prototype game titled Genetic Tetris.

  1. M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance," in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. [URL]
  2. C. Law, R. Blue, D. Stoup, P. Tunison, A. Hoogs, B. Vasu, J. Van Cor, J. Kerekes, A. Savakis, T. Rovito, C. Stansifer, and S. Thomas, "Deep Learning for Object Detection and Classification in Satellite Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  3. J. Crall, J. Becker, P. Tunison, M. Dawkins, A. Basharat, R. Blue, M. Turek, and A. Hoogs, "Deep Learning for Small Object Detection in Satellite Infrared Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  4. M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on Mobile UGV for Squad-Level Threat Alerting," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  5. A. Basharat, P. Tunison, and A. Hoogs, "Rapid Learning of Maritime Scenes Through Query Refinement," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  6. C. Law, J. Parham, M. Dawkins, P. Tunison, D. Stoup, R. Blue, K. Fieldhouse, M. Turek, A. Hoogs, S. Han, A. Farafard, J. Kerekes, E. Lentilucci, M. Gartley, T. Savakis, T. Rovito, S. Thomas, and C. Stansifer, "Deep learning for object detection and object-based change detection in satellite imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
  7. M. Leotta, E. Smith, M. Dawkins, and P. Tunison, "Open source structure-from-motion for aerial video," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2016. [URL]
  8. P. Tunison, M. Turek, and A. Hoogs, "Functional scene element modeling for ISR data," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
  9. Z. Sun, J. Baumes, P. Tunison, M. Turek, and A. Hoogs, "Tattoo detection and localization using region-based deep learning," in Proceedings of the IEEE International Conference on Pattern Recognition, 2016. [URL]
  10. M. Turek, A. Basharat, K. Fieldhouse, P. Tunison, D. Stoup, C. Atkins, and A. Hoogs, "Real-time, full-frame wide area motion imagery analytics," in Proceedings of the MSS National Symposium on Passive Sensors, 2015.
  11. K. Fieldhouse, M. Leotta, A. Basharat, R. Blue, D. Stoup, C. Atkins, L. Sherrill, B. Boeckel, P. Tunison, J. Becker, M. Dawkins, M. Woehlke, R. Collins, M. Turek, and A. Hoogs, "KWIVER: An open source cross-platform video exploitation framework," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2014. [URL]
  12. A. Basharat, M. Turek, Yiliang Xu, C. Atkins, D. Stoup, K. Fieldhouse, P. Tunison, and A. Hoogs, "Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014. [URL]

Bibliography generated 2019-09-23-18:10:06 (3149)