| Ring loss: Convex feature normalization for face recognition Y Zheng, DK Pal, M Savvides Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 273 | 2018 |
| NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction F Juefei-Xu, DK Pal, M Savvides Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 176 | 2015 |
| Driver cell phone usage detection on strategic highway research program (SHRP2) face view videos K Seshadri, F Juefei-Xu, DK Pal, M Savvides, CP Thor Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 172 | 2015 |
| Douglas-rachford networks: Learning both the image prior and data fidelity terms for blind image deconvolution R Aljadaany, DK Pal, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 65 | 2019 |
| Hallucinating the full face from the periocular region via dimensionally weighted K-SVD F Juefei-Xu, DK Pal, M Savvides Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 52 | 2014 |
| A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions F Juefei-Xu, DK Pal, K Singh, M Savvides Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 43 | 2015 |
| Investigating the feasibility of image-based nose biometrics N Zehngut, F Juefei-Xu, R Bardia, DK Pal, C Bhagavatula, M Savvides 2015 IEEE international conference on image processing (ICIP), 522-526, 2015 | 39 | 2015 |
| Discriminative invariant kernel features: a bells-and-whistles-free approach to unsupervised face recognition and pose estimation DK Pal, F Juefei-Xu, M Savvides Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 38 | 2016 |
| Proximal splitting networks for image restoration R Aljadaany, DK Pal, M Savvides International Conference on Image Analysis and Recognition, 3-17, 2019 | 22 | 2019 |
| Stochastic CoSaMP: Randomizing greedy pursuit for sparse signal recovery DK Pal, OJ Mengshoel Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 16 | 2016 |
| Methods and software for hallucinating facial features by prioritizing reconstruction errors F Juefei-Xu, DK Pal, M Savvides US Patent 10,115,004, 2018 | 13 | 2018 |
| Max-margin invariant features from transformed unlabelled data D Pal, A Kannan, G Arakalgud, M Savvides Advances in Neural Information Processing Systems 30, 2017 | 11 | 2017 |
| Is pose really solved? a frontalization study on off-angle face matching D Pal, C Bhagavatula, Y Zheng, R Tao, M Savvides 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2058-2067, 2019 | 7 | 2019 |
| Towards a hypothesis on visual transformation based self-supervision DK Pal, S Nallamothu, M Savvides arXiv preprint arXiv:1911.10594, 2019 | 6 | 2019 |
| Feedback control for multi-modal optimization using genetic algorithms J Shi, OJ Mengshoel, DK Pal Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 5 | 2014 |
| Convex feature normalization for face recognition M Savvides, DK Pal, Y Zheng US Patent 12,165,068, 2024 | 4 | 2024 |
| Non-parametric transformation networks DK Pal, M Savvides arXiv preprint arXiv:1801.04520, 2018 | 4 | 2018 |
| Learning non-parametric invariances from data with permanent random connectomes DK Pal, A Chawla, M Savvides arXiv preprint arXiv:1911.05266, 2019 | 3 | 2019 |
| Non-parametric transformation networks for learning general invariances from data DK Pal, M Savvides Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4667-4674, 2019 | 3 | 2019 |
| Copernican loss: learning a discriminative cosine embedding DK Pal, M Savvides vol, 2017 | 3 | 2017 |
Marios SavvidesProfessor of Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
