| Synthesis of high-quality visible faces from polarimetric thermal faces using generative adversarial networks H Zhang, BS Riggan, S Hu, NJ Short, VM Patel International Journal of Computer Vision 127, 845-862, 2019 | 102 | 2019 |
| Generative adversarial network-based synthesis of visible faces from polarimetrie thermal faces H Zhang, VM Patel, BS Riggan, S Hu 2017 IEEE International Joint Conference on Biometrics (IJCB), 100-107, 2017 | 92 | 2017 |
| A polarimetric thermal database for face recognition research S Hu, NJ Short, BS Riggan, C Gordon, KP Gurton, M Thielke, P Gurram, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 92 | 2016 |
| A large-scale, time-synchronized visible and thermal face dataset D Poster, M Thielke, R Nguyen, S Rajaraman, X Di, CN Fondje, VM Patel, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 51 | 2021 |
| Coupled auto-associative neural networks for heterogeneous face recognition BS Riggan, C Reale, NM Nasrabadi IEEE Access 3, 1620-1632, 2015 | 48 | 2015 |
| Thermal to visible synthesis of face images using multiple regions BS Riggan, NJ Short, S Hu 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 30-38, 2018 | 47 | 2018 |
| Multi-scale thermal to visible face verification via attribute guided synthesis X Di, BS Riggan, S Hu, NJ Short, VM Patel IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (2), 266-280, 2021 | 44 | 2021 |
| Joint-SRVDNet: Joint super resolution and vehicle detection network M Mostofa, SN Ferdous, BS Riggan, NM Nasrabadi IEEE Access 8, 82306-82319, 2020 | 44 | 2020 |
| Cross-modality distillation: A case for conditional generative adversarial networks S Roheda, BS Riggan, H Krim, L Dai 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 43 | 2018 |
| Polarimetric thermal to visible face verification via self-attention guided synthesis X Di, BS Riggan, S Hu, NJ Short, VM Patel 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 42 | 2019 |
| Estimation of visible spectrum faces from polarimetric thermal faces BS Riggan, NJ Short, S Hu, H Kwon 2016 IEEE 8th international conference on biometrics theory, applications …, 2016 | 42 | 2016 |
| Optimal feature learning and discriminative framework for polarimetric thermal to visible face recognition BS Riggan, NJ Short, S Hu 2016 IEEE winter conference on applications of computer vision (WACV), 1-7, 2016 | 38 | 2016 |
| Coupled generative adversarial network for heterogeneous face recognition SM Iranmanesh, B Riggan, S Hu, NM Nasrabadi Image and Vision Computing 94, 103861, 2020 | 29 | 2020 |
| Heterogeneous face recognition: recent advances in infrared-to-visible matching S Hu, N Short, BS Riggan, M Chasse, MS Sarfraz 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 27 | 2017 |
| Cross-domain identification for thermal-to-visible face recognition CN Fondje, S Hu, NJ Short, BS Riggan 2020 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2020 | 23 | 2020 |
| Visible-to-thermal transfer learning for facial landmark detection DD Poster, S Hu, NJ Short, BS Riggan, NM Nasrabadi IEEE Access 9, 52759-52772, 2021 | 20 | 2021 |
| An examination of deep-learning based landmark detection methods on thermal face imagery D Poster, S Hu, N Nasrabadi, B Riggan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 20 | 2019 |
| Deep sparse feature selection and fusion for textured contact lens detection D Poster, N Nasrabadi, B Riggan 2018 International Conference of the Biometrics Special Interest Group …, 2018 | 19 | 2018 |
| Robust multi-modal sensor fusion: An adversarial approach S Roheda, H Krim, BS Riggan IEEE Sensors journal 21 (2), 1885-1896, 2020 | 16 | 2020 |
| An accumulative fusion architecture for discriminating people and vehicles using acoustic and seismic signals K Lee, BS Riggan, SS Bhattacharyya 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
Shuowen HuDEVCOM Army Research Laboratory在 army.mil 的电子邮件经过验证
