| 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 | 1559 | 2014 |
| Frame-Recurrent Video Super-Resolution MSM Sajjadi, R Vemulapalli, M Brown Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 449 | 2018 |
| Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data R Vemulapalli, R Chellappa Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 208 | 2016 |
| Gaussian Conditional Random Field Network for Semantic Segmentation R Vemulapalli, O Tuzel, MY Liu, R Chellappa Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 176 | 2016 |
| Cross-domain synthesis of medical images using efficient location-sensitive deep network H Van Nguyen, K Zhou, R Vemulapalli Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 125 | 2015 |
| 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 | 122 | 2013 |
| Contrastive Learning for Label-Efficient Semantic Segmentation X Zhao, R Vemulapalli, P Mansfield, B Gong, B Green, L Shapira, Y Wu International Conference on Computer Vision (ICCV), 2021 | 102 | 2021 |
| A compact embedding for facial expression similarity R Vemulapalli, A Agarwala Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 98 | 2019 |
| Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation K Hara, R Vemulapalli, R Chellappa arXiv preprint arXiv:1702.01499, 2017 | 83 | 2017 |
| 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 | 77 | 2016 |
| Unsupervised Cross-modal Synthesis of Subject-specific Scans R Vemulapalli, H Van Nguyen, SK Zhou International Conference on Computer Vision (ICCV), 2015 | 69 | 2015 |
| 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 | 64 | 2020 |
| 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 | 50 | 2016 |
| Riemannian Metric Learning for Symmetric Positive Definite Matrices R Vemulapalli, DW Jacobs arXiv preprint arXiv:1501.02393, 2015 | 49 | 2015 |
| Global Self-Attention Networks for Image Recognition Z Shen, I Bello, R Vemulapalli, X Jia, CH Chen arXiv preprint arXiv:2010.03019, 2020 | 25 | 2020 |
| Spatio-temporal nonparametric background modeling and subtraction R Vemulapalli, R Aravind 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 19 | 2009 |
| Compact language-free facial expression embedding and novel triplet training scheme R Vemulapalli, A Agarwala US Patent 10,565,434, 2020 | 17 | 2020 |
| System and method for semantic segmentation using Gaussian random field network O Tuzel, R Vemulapalli, MY Liu US Patent 9,704,257, 2017 | 13 | 2017 |
| Frame-recurrent video super-resolution R Vemulapalli, M Brown, SMM Sajjadi US Patent 10,783,611, 2020 | 10 | 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 | 9 | 2017 |
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
