Benjamin Riggan

Contact Information:

NH E411B

City Campus (Lincoln)

(402) 472-1183

Personal Links:

• Image + Signal Analysis Lab
• personal webpage
• publications
• google scholar

Professional Memberships:

• IEEE, SPIE

Assistant Professor
Associate Editor IEEE Transactions on Aerospace and Electronic Systems (TAES)

Academic Degrees

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

Areas of Research and Professional Interest

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

In the News: Powered by the

May 20, 2021: Nine engineering researchers chosen to NSRI Fellows cohort

May 17, 2021: Riggan new associate editor of IEEE Transactions on Aerospace and Electronic Systems

Courses Taught

ECEN 898 - Introduction to Computer Vision (Spring 2020, Spring 2021)
ECEN 998 - Advanced Computer Vision (Fall 2020)

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.