| 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 | 1072 | 2014 |
| Frame-Recurrent Video Super-Resolution MSM Sajjadi, R Vemulapalli, M Brown Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 179 | 2018 |
| Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data R Vemulapalli, R Chellappa | 140 | 2016 |
| Gaussian Conditional Random Field Network for Semantic Segmentation R Vemulapalli, O Tuzel, MY Liu, R Chellappa | 121 | 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 | 108 | 2013 |
| 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 | 94 | 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 | 59 | 2016 |
| Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation K Hara, R Vemulapalli, R Chellappa arXiv preprint arXiv:1702.01499, 2017 | 54 | 2017 |
| Unsupervised Cross-modal Synthesis of Subject-specific Scans R Vemulapalli, H Van Nguyen, SK Zhou International Conference on Computer Vision (ICCV), 2015 | 52 | 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 | 34 | 2016 |
| Riemannian Metric Learning for Symmetric Positive Definite Matrices R Vemulapalli, DW Jacobs arXiv preprint arXiv:1501.02393, 2015 | 30 | 2015 |
| A Compact Embedding for Facial Expression Similarity R Vemulapalli, A Agarwala Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 23 | 2019 |
| Spatio-temporal nonparametric background modeling and subtraction R Vemulapalli, R Aravind 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 18 | 2009 |
| 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 | 16 | 2020 |
| Compact language-free facial expression embedding and novel triplet training scheme R Vemulapalli, A Agarwala US Patent 10,565,434, 2020 | 10 | 2020 |
| Global Self-Attention Networks for Image Recognition Z Shen, I Bello, R Vemulapalli, X Jia, CH Chen arXiv preprint arXiv:2010.03019, 2020 | 5 | 2020 |
| System and method for semantic segmentation using Gaussian random field network O Tuzel, R Vemulapalli, MY Liu US Patent 9,704,257, 2017 | 3 | 2017 |
| 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 | 3 | 2017 |
| Method and system for unsupervised cross-modal medical image synthesis R Vemulapalli, H Nguyen, SK Zhou US Patent 9,582,916, 2017 | 3 | 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 | 3 | 2017 |
Rama ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
