| Few-shot adversarial domain adaptation S Motiian, Q Jones, S Iranmanesh, G Doretto Advances in neural information processing systems 30, 2017 | 463 | 2017 |
| 3D convolutional neural networks for cross audio-visual matching recognition A Torfi, SM Iranmanesh, N Nasrabadi, J Dawson IEEE Access 5, 22081-22091, 2017 | 136 | 2017 |
| An adaptive forward collision warning framework design based on driver distraction SM Iranmanesh, HN Mahjoub, H Kazemi, YP Fallah IEEE Transactions on Intelligent Transportation Systems 19 (12), 3925-3934, 2018 | 85 | 2018 |
| Style and content disentanglement in generative adversarial networks H Kazemi, SM Iranmanesh, N Nasrabadi 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 848-856, 2019 | 78 | 2019 |
| Deep cross polarimetric thermal-to-visible face recognition SM Iranmanesh, A Dabouei, H Kazemi, NM Nasrabadi 2018 International Conference on Biometrics (ICB), 166-173, 2018 | 58 | 2018 |
| Unsupervised image-to-image translation using domain-specific variational information bound H Kazemi, S Soleymani, F Taherkhani, S Iranmanesh, N Nasrabadi Advances in neural information processing systems 31, 2018 | 52 | 2018 |
| Facial attributes guided deep sketch-to-photo synthesis H Kazemi, M Iranmanesh, A Dabouei, S Soleymani, NM Nasrabadi 2018 IEEE Winter Applications of Computer Vision Workshops (WACVW), 1-8, 2018 | 50 | 2018 |
| Fingerprint distortion rectification using deep convolutional neural networks A Dabouei, H Kazemi, SM Iranmanesh, J Dawson, NM Nasrabadi 2018 International Conference on Biometrics (ICB), 1-8, 2018 | 42 | 2018 |
| ID preserving generative adversarial network for partial latent fingerprint reconstruction A Dabouei, H Kazemi, SM Iranmanesh, J Dawson, NM Nasrabadi 2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018 | 32 | 2018 |
| 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 |
| Attribute-centered loss for soft-biometrics guided face sketch-photo recognition H Kazemi, S Soleymani, A Dabouei, M Iranmanesh, NM Nasrabadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 28 | 2018 |
| Deep sketch-photo face recognition assisted by facial attributes SM Iranmanesh, H Kazemi, S Soleymani, A Dabouei, NM Nasrabadi 2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018 | 27 | 2018 |
| Robustness of cooperative forward collision warning systems to communication uncertainty SM Iranmanesh, E Moradi-Pari, YP Fallah, S Das, M Rizwan 2016 Annual IEEE Systems Conference (SysCon), 1-7, 2016 | 23 | 2016 |
| Empirical upper bound in object detection and more A Borji, SM Iranmanesh arXiv preprint arXiv:1911.12451, 2019 | 22 | 2019 |
| Prosodic-enhanced siamese convolutional neural networks for cross-device text-independent speaker verification S Soleymani, A Dabouei, SM Iranmanesh, H Kazemi, J Dawson, ... 2018 IEEE 9th international conference on biometrics theory, applications …, 2018 | 22 | 2018 |
| Patchtrack: Multiple object tracking using frame patches X Chen, SM Iranmanesh, KC Lien arXiv preprint arXiv:2201.00080, 2022 | 18 | 2022 |
| Integrated DNA copy number and gene expression regulatory network analysis of non-small cell lung cancer metastasis SM Iranmanesh, NL Guo Cancer Informatics 13, CIN. S14055, 2014 | 15 | 2014 |
| Robust facial landmark detection via aggregation on geometrically manipulated faces SM Iranmanesh, A Dabouei, S Soleymani, H Kazemi, N Nasrabadi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 14 | 2020 |
| Attribute-guided deep polarimetric thermal-to-visible face recognition SM Iranmanesh, NM Nasrabadi 2019 International Conference on Biometrics (ICB), 1-8, 2019 | 11 | 2019 |
| Attribute adaptive margin softmax loss using privileged information SM Iranmanesh, A Dabouei, NM Nasrabadi arXiv preprint arXiv:2009.01972, 2020 | 8 | 2020 |
Nasser M NasrabadiProfessor, CSEE, West Virginia University在 mail.wvu.edu 的电子邮件经过验证
