| Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group R Vemulapalli, F Arrate, R Chellappa Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 897 | 2014 |
| Frame-Recurrent Video Super-Resolution MSM Sajjadi, R Vemulapalli, M Brown Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 114 | 2018 |
| Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data R Vemulapalli, R Chellappa | 109 | 2016 |
| Kernel learning for extrinsic classification of manifold features R Vemulapalli, JK Pillai, R Chellappa Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 103 | 2013 |
| Gaussian Conditional Random Field Network for Semantic Segmentation R Vemulapalli, O Tuzel, MY Liu, R Chellappa | 101 | 2016 |
| Cross-domain synthesis of medical images using efficient location-sensitive deep network H Van Nguyen, K Zhou, R Vemulapalli International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 76 | 2015 |
| Deep gaussian conditional random field network: A model-based deep network for discriminative denoising R Vemulapalli, O Tuzel, MY Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 50 | 2016 |
| Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation K Hara, R Vemulapalli, R Chellappa arXiv preprint arXiv:1702.01499, 2017 | 47 | 2017 |
| Unsupervised Cross-modal Synthesis of Subject-specific Scans R Vemulapalli, H Van Nguyen, SK Zhou International Conference on Computer Vision (ICCV), 2015 | 42 | 2015 |
| R3DG features: Relative 3D geometry-based skeletal representations for human action recognition R Vemulapalli, F Arrate, R Chellappa Computer Vision and Image Understanding 152, 155-166, 2016 | 30 | 2016 |
| Riemannian Metric Learning for Symmetric Positive Definite Matrices R Vemulapalli, DW Jacobs arXiv preprint arXiv:1501.02393, 2015 | 22 | 2015 |
| Spatio-temporal nonparametric background modeling and subtraction R Vemulapalli, R Aravind 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 17 | 2009 |
| A Compact Embedding for Facial Expression Similarity R Vemulapalli, A Agarwala Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| Search to Distill: Pearls are Everywhere but not the Eyes Y Liu, X Jia, M Tan, R Vemulapalli, Y Zhu, B Green, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 9 | 2020 |
| Method and system for denoising images using deep Gaussian conditional random field network O Tuzel, MY Liu, R Vemulapalli US Patent 9,633,274, 2017 | 2 | 2017 |
| Method and system for unsupervised cross-modal medical image synthesis R Vemulapalli, H Nguyen, SK Zhou US Patent 9,582,916, 2017 | 2 | 2017 |
| Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis R Vemulapalli, H Van Nguyen, SK Zhou Deep Learning for Medical Image Analysis, 381-403, 2017 | 2 | 2017 |
| System and method for semantic segmentation using Gaussian random field network O Tuzel, R Vemulapalli, MY Liu US Patent 9,704,257, 2017 | 1 | 2017 |
| Explicit discriminative representation for improved classification of manifold features A Wiliem, R Vemulapalli, BC Lovell Pattern Recognition Letters 80, 121-128, 2016 | 1 | 2016 |
| MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization R Vemulapalli, VP Boda, R Chellappa arXiv preprint arXiv:1410.4470, 2014 | 1 | 2014 |
Felipe ArrateResearch Associate, University of MarylandVerified email at umiacs.umd.edu
