| Radon-like features and their application to connectomics R Kumar, A Vázquez-Reina, H Pfister Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE …, 2010 | 96 | 2010 |
| Volterrafaces: Discriminant analysis using volterra kernels R Kumar, A Banerjee, BC Vemuri CVPR, 150-155, 2009 | 82 | 2009 |
| Trainable convolution filters and their application to face recognition R Kumar, A Banerjee, BC Vemuri, H Pfister IEEE transactions on pattern analysis and machine intelligence 34 (7), 1423-1436, 2011 | 60 | 2011 |
| Maximizing All Margins: Pushing Face Recognition with Kernel Plurality R Kumar, A Banerjee, BC Vemuri, H Pfister ICCV, 2011 | 56 | 2011 |
| Machine learning with incomplete data sets DJ Beymer, KW Brannon, T Chen, MAW Hardt, RK Kumar, ... US Patent 9,349,105, 2016 | 52 | 2016 |
| Echocardiogram view classification using edge filtered scale-invariant motion features R Kumar, F Wang, D Beymer, T Syeda-Mahmood 2009 IEEE Conference on Computer Vision and Pattern Recognition, 723-730, 2009 | 45 | 2009 |
| Detection of neuron membranes in electron microscopy images using multi-scale context and radon-like features M Seyedhosseini, R Kumar, E Jurrus, R Giuly, M Ellisman, H Pfister, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 43 | 2011 |
| Simplify-then-translate: Automatic preprocessing for black-box translation S Mehta, B Azarnoush, B Chen, A Saluja, V Misra, B Bihani, R Kumar Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8488-8495, 2020 | 41 | 2020 |
| Prediction of diseases based on analysis of medical exam and/or test workflow DJ Beymer, KW Brannon, CB Compas, RK Kumar, TF Syeda-Mahmood US Patent 10,327,712, 2019 | 41 | 2019 |
| Multiple kernel completion and its application to cardiac disease discrimination R Kumar, T Chen, M Hardt, D Beymer, K Brannon, T Syeda-Mahmood 2013 IEEE 10th International Symposium on Biomedical Imaging, 764-767, 2013 | 35 | 2013 |
| Differential privacy for message text content mining ED Friedman, RK Kumar, L Winstrom US Patent 10,778,633, 2020 | 33 | 2020 |
| Non-Lambertian reflectance modeling and shape recovery of faces using tensor splines R Kumar, A Barmpoutis, A Banerjee, BC Vemuri IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (3), 533-567, 2011 | 24 | 2011 |
| Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions R Kumar, A Barmpoutis, BC Vemuri, PR Carney, TH Mareci Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE …, 2008 | 24 | 2008 |
| Echocardiogram view classification using edge filtered scale-invariant motion features DJ Beymer, RK Kumar, TF Syeda-Mahmood, F Wang US Patent 8,744,152, 2014 | 23 | 2014 |
| Method for synthetically relighting images of objects MJ Jones, T Marks, R Kumar US Patent 8,194,072, 2012 | 23 | 2012 |
| Beyond the lambertian assumption: A generative model for apparent brdf fields of faces using anti-symmetric tensor splines A Barmpoutis, R Kumar, BC Vemuri, A Banerjee Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 21 | 2008 |
| Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features R Kumar, F Wang, D Beymer, T Syeda-Mahmood Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE …, 2010 | 20 | 2010 |
| Motion estimation based color transfer and its application to color video compression R Kumar, SK Mitra Pattern Analysis and Applications 11, 131-139, 2008 | 20 | 2008 |
| Multi-fiber reconstruction from DW-MRI using a continuous mixture of hyperspherical von Mises-Fisher distributions R Kumar, BC Vemuri, F Wang, T Syeda-Mahmood, PR Carney, TH Mareci International conference on information processing in medical imaging, 139-150, 2009 | 16 | 2009 |
| Morphable reflectance fields for enhancing face recognition R Kumar, M Jones, TK Marks Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 13 | 2010 |
Tanveer Syeda-MahmoodIBM Almaden Research CenterVerified email at us.ibm.com
