Journal Papers
1.
K. Nikhal and B. S. Riggan, "Multi-Context Grouped Attention for Unsupervised Person Re-Identification," in Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 2, pp. 170-182, April 2023, doi:10.1109/TBIOM.2022.3226678.
2.
C. N. Fondje and B. S. Riggan, "Learning Domain and Pose Invariance for Thermal-to-Visible Face Recognition," in Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 1, pp. 15-28, Jan. 2023, doi:10.1109/TBIOM.2022.3223055.
3.
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.
4.
X. Di, B. S. Riggan, S. Hu, N. J. Short and V. M. Patel, "Multi-Scale Thermal to Visible Face 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.
5.
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.
6.
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.
7.
S. Roheda, H. Krim, B. S. Riggan, "Robust Multi-Modal Sensor Fusion: An ," IEEE Sensors Journal, vol. 21, no. 2, pp. 1885-1896, 15 Jan.15, 2021, doi: 10.1109/JSEN.2020.3018698.
8.
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.
9.
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," Int'l Journal of Computer Vision (IJCV), 127, pp. 845–862, 2019.
10.
B. S. Riggan, C. Reale, and N. M. Nasrabadi, "Coupled auto-associative neural networks for heterogeneous face recognition," IEEE Access vol. 3, pp. 1620–1632, 2015.
Conference Papers
1.
K. Nikhal, Y. Ma, S. S. Bhattacharyya and B. S. Riggan, "HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification," IEEE Winter Conf. on Applications of Computer Vision (WACV), Jan. 2024.
2.
K. Nikhal and B. S. Riggan, "Weakly Supervised Face and Whole Body Recognition in Turbulent Environments," IEEE Int'l Joint Conf. on Biometrics (IJCB), 2023.
3.
C. N. Fondje, K. Nikhal, J. B. Peace, R. Karl, M. Lee, P. Berkowitz, K. Gramzinski, B. Kennedy, N. Uzuegbunam, T. Barrett, O. Arend, W. Liane, S. Semenova, and B. S. Riggan, "HBRC-500: A Long Range Recognition Benchmark Dataset using Face and Whole-body Imagery," IEEE Int'l Joint Conf. on Biometrics (IJCB), 2023.
4.
J. B. Peace and B. S. Riggan, "Out-of-distribution 3D object generation for enhanced pose estimation," Proceedings Volume 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications; 1252911, 2023.
5.
K. Nikhal, N. Uzuegbunam, B. Kennedy, and B. S. Riggan, "Mitigating Catastrophic Interference using Unsupervised Multi-Part Attention for RGB-IR Face Recognition," in Proc. of the IEEE Int'l Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2023.
6.
E. -J. Lee, A. Mattingly, H. Kwon, B. Riggan and S. S. Bhattacharyya, "Real-time Face Tracking Based on a Configurable Ensemble of Detectors," 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 339-343, doi: 10.1109/IEEECONF56349.2022.10051958.
7.
C. N. Fondje, D. Rico, J. Bradley, C. Detweiler, J. George, P. Sharma, and B. S. Riggan, "Nighttime Unmanned Aerial System Counter-Surveillance using Domain Adaptive Objection Detection and Thermal Imaging," Infrared Technology and Applications XLVIII, 121071N, 2022.
8.
J. Hamblin, K. Nikhal, and B. S. Riggan, "Understanding Cross-Domain Presentation Attack Detection for Visible Face Recognition," IEEE Face and Gestures (FG), Dec. 2021.
9.
K. Nikhal, B. S. Riggan, "Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification," IEEE Winter Conf. on Applications of Computer Vision (WACV), Jan. 2021.
10.
D. Poster, M. Thielke, R. Nguyen, S. Rajaraman, X. Di, C. Nimpa, N. J. Short, B. S. Riggan, V. M. Patel, N. M. Nasrabadi, S. Hu, "A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset," IEEE Winter Conf. on Applications of Computer Vision (WACV), Jan. 2021.
11.
C. Nimpa, S. Hu, N. J. Short, B. S. Riggan, "Cross-Domain Identification for Thermal-to-Visible Face Recognition," International Joint Conference on Biometrics (IJCB), Sept. 2020.
12.
S. Roheda, H. Krim, B. S. Riggan, "Commuting conditional GANs for multi-modal fusion," IEEE Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.
13.
D. Poster, S. Hu, N. M. Nasrabadi, B. S. Riggan, "An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery," in Proc. of the IEEE Int'l Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019.
14.
X. Di, B. S. Riggan, S. Hu, N. Short, V. M. Patel, "Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis," IAPR Int'l Conference on Biometrics, June, 2019
15.
D. Poster, N. M. Nasrabadi, B. S. Riggan, "Deep sparse feature selection and fusion for textured contact lens detection," Biometrics Special Interest Group (BIOSIG), September, 2018.
16.
B. S. Riggan, N. J. Short, M. S. Sarfraz, S. Hu, H. Zhang, V. M. Patel, S. Rasnayaka, J. Li, T. Sim, S. M. Iranmanesh, and N. M. Nasrabadi, "ICME grand challenge results on heterogeneous face recognition: polarimetric thermal-to-visible matching," IEEE Int'l Conference on Multimedia & Expo (ICME), July, 2018.
17.
S. Hu, N. J. Short, K. Gurton, B. S. Riggan, "Overview of polarimetric thermal imaging for biometrics," Polarization: Measurement, Analysis, and Remote Sensing XIII 10655, 1065502, April, 2018.
18.
K. Lee, B. S. Riggan, S. S. Bhattacharyya, "A joint target localization and classification framework for sensor networks," IEEE Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2018
19.
S. Roheda, B. S. Riggan, H. Krim, and L. Dai, "Cross-modality distillation: a case for conditional adversarial networks," IEEE Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2018.
20.
B. S. Riggan, N. J. Short, and S. Hu, "Thermal to visible synthesis of face images using multiple regions," IEEE Winter Conf. on Applications of Computer Vision, March 2018.
21.
O. Ulutan, B. S. Riggan, N. M. Nasrabadi, and B. S. Manjunath, "An order preserving bilinear model for person detection in multi-modal data," IEEE Winter Conf. on Applications of Computer Vision, March 2018.
22.
H. Zhang, V. M. Patel, B. S. Riggan, and S. Hu, "Generative adversarial network-based synthesis of visible faces from polarimetric thermal faces," IEEE Int'l Joint Conf. on Biometrics (IJCB), Denver, CO, 2017.
23.
K. Lee, B. S. Riggan, S. S. Bhattacharyya, "An optimized embedded target detection system using acoustic and seismic sensors," European Signal Processing Conference (EUSIPCO), Aug. 2017.
24.
S. Hu, N. J. Short, B. S. Riggan, M. Chasse, M. S. Sarfraz, "Heterogeneous face recognition: recent advances in infrared-to-visible matching," IEEE FG Workshop on Heterogeneous Face Recognition, June 2017.
25.
K. Lee, B. S. Riggan, S. S. Bhattacharyya, "An accumulative fusion architecture for discriminating people and vehicles using acoustic and seismic signals," IEEE Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.
26.
B. S. Riggan, N. J. Short, S. Hu, and H. Kwon, "Estimation of visible spectrum faces from polarimetric thermal faces," IEEE Int'l Conf. on Biometrics: Theory, Applications, and Systems (BTAS), Sept. 2016.
27.
S. Hu, N. J. Short, B. S. Riggan, C. Gordon, K. P. Gurton, M. Thielke, P. Gurram, A. L. Chan, "A polarimetric thermal database for face recognition research," IEEE Int'l Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): Biometric Workshop, June 2016.
28.
B. S. Riggan, N. J. Short, and S. Hu, "Optimal feature learning and discriminative framework for polarimetric thermal to visible face recognition," IEEE Winter Conf. on Applications of Computer Vision, March 2016.
29.
B. S. Riggan, W. E. Snyder, X. Wang, and J. Feng, "A Human Factors Study of Graphical Passwords using Biometrics," German Conf. on Pattern Recognition, Sept. 2014.
30.
B. S. Riggan, W. E. Snyder, R. Bascilico, R. Freimanis, and J. Mammarappallil, "Recognition of microcalcifications in mammograms: feature extractions," Army Conf. on Applied Statistics (ACAS), 2012.
Books and Book Chapters
1.
B. S. Riggan, Wesley Snyder, and Cliff Wang, "Fundamentals of Sketch-based Passwords: A General Framework," SpringerBriefs in Computer Science, 2014.
Patents
1.
C. X. Wang, W. E. Snyder, and B. S. Riggan, "Systems and methods using drawings which incorporate biometric data as security information," US 9,671,953, June 2017.