Benjamin Riggan

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Benjamin Riggan

Associate Professor Associate Editor IEEE Transactions on Aerospace and Electronic Systems (TAES) University of Nebraska-Lincoln

Contact

Address
SEC C290L
Lincoln NE 68588-0511
Phone
402-472-3771 On-campus 2-3771
Email
briggan2@unl.edu
Website
Website
Website

Dr. Riggan joined the ECE Department at UNL in 2019.  Prior to joining, UNL Dr. Riggan worked as a research scientist for the U.S. Army Research Laboratory. His current research focuses on nighttime facial recognition, imaging and recognition through atmospheric turbulence, aerial perception and autonomy, detection and recognition for low-quality images, automatic target recognition, and computer vision for defense and law enforcement applications.

He is currently an associated editor for the IEEE Transactions on Aerospace and Electronic Systems (TAES). Dr. Riggan has also received multiple "Best Paper Awards," include a best paper awards at the 2016 and 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) and the runner-up best paper award at the 2016 IEEE Biometrics: Theory, Application, and Systems conference.

Areas of Research and Professional Interest

  • Domain Adaptation
  • Computer Vision
  • Machine Learning & Deep Learning
  • Biometrics
  • Image & Signal Processing

Education

  • Ph.D., Electrical Engineering, North Carolina State University, 2014
  • M.S. Electrical Engineering, North Carolina State University, 2011
  • B.S. Computer Engineering, North Carolina State University, 2009

Selected Publications

Peer Reviewed Journal Publications

  • D. D. Poster, S. Hu, N. J. Short, B. S. Riggan, and N. M. Nasrabadi, "Visible-to-Thermal Transfer Learning for Facial Landmark Detection," in IEEE Access, vol. 9, pp. 52759-52772, 2021, doi: 10.1109/ACCESS.2021.3070233. 
  •  X. Di, B. S. Riggan, S. Hu, N. J. Short and V. M. Patel, "Multi-Scale Thermal to VisibleFace Verification via Attribute Guided Synthesis," in IEEE Transactions on Biometrics,Behavior, and Identity Science, vol. 3, no. 2, pp. 266-280, April 2021, doi: 10.1109/TBIOM.2021.3060641.
  • K. Lee, Y. Lee, A. Raina, Y. Liu, J. Wu, C. Defrancisci, B. S. Riggan, and S. S. Bhattacharyya, "Software Synthesis from dataflow schedule graphs," SN Applied Sciences 3, 142, 2021.
  • S. Roheda, H. Krim and B. S. Riggan, "Robust Multi-Modal Sensor Fusion: An Adversarial Approach," in IEEE Sensors Journal, vol. 21, no. 2, pp. 1885-1896, 15 Jan.15, 2021, doi: 10.1109/JSEN.2020.3018698. 
  • M. Mostofa, S. N. Ferdous, B. S. Riggan, and N. M. Nasrabadi, "Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network," in IEEE Access, vol. 8, pp. 82306-82319, 2020, doi: 10.1109/ACCESS.2020.2990870.
  • S. M. Iranmanesh, B. S. Riggan, S. Hu, N. M. Nasrabadi, "Coupled generative adversarial network for heterogeneous face recognition," Image and Vision Computing, Vol. 94, 103861, February 2020. 
  • H. Zhang, B. S. Riggan, S. Hu, N. J. Short and V. M. Patel, “Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks,” International Journal of Computer Vision, vol. 127, pp. 845–-862, 2019. 

Conference Proceedings: Peer reviewed

  • K. Nikhal, B. S. Riggan, “Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification,” in Proc. of the IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV), pp. 2422-2431, Jan. 2021. 
  • D. Poster, M. Thielke, R. Nguyen, S. Rajaraman, X. Di, C. N. Fondje, N. J. Short, B. S. Riggan, V. M. Patel, N. M. Nasrabadi, S. Hu, “A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset,” in Proc. of the IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV), pp. 1559-1568, Jan. 2021. 
  • C. N. Fondje, S. Hu, N. J. Short, and B. S. Riggan, “Cross-Domain Identification for Thermal-to-Visible Face Recognition,” 2020 IEEE Int’l Joint Conf. on Biometrics (IJCB), pp. 1-9, Sept. 2020. 
  • D. Poster, S. Hu, N. Nasrabadi and B. S. Riggan, “An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery,” 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 980-987, June 2019. 
  • X. Di, B. S. Riggan, S. Hu, N. J. Short and V. M. Patel, "Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis," 2019 International Conference on Biometrics (ICB), pp. 1-8, June 2019.
  • S. Roheda, H. Krim and B. S. Riggan, “Commuting Conditional GANS for Multi-Modal Fusion,” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3197-3201, May 2020.