| Robust spatial filtering with graph convolutional neural networks FP Such, S Sah, MA Dominguez, S Pillai, C Zhang, A Michael, ND Cahill, ... IEEE Journal of Selected Topics in Signal Processing 11 (6), 884-896, 2017 | 171 | 2017 |
| Machine Learning: A Review of Learning Types S Sah https://www.preprints.org/manuscript/202007.0230/v1, 2020 | 81 | 2020 |
| Machine Learning: A Review of Learning Types S Sah Sah, S. Machine Learning: A Review of Learning Types. Preprints 2020 …, 2020 | 81 | 2020 |
| Semantic text summarization of long videos S Sah, S Kulhare, A Gray, S Venugopalan, E Prud'Hommeaux, R Ptucha 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 989-997, 2017 | 63 | 2017 |
| Video redaction method and system RP Loce, MA Shreve, S Sah US Patent 10,242,282, 2019 | 45 | 2019 |
| General-Purpose Deep Point Cloud Feature Extractor M Dominguez, R Dhamdhere, A Petkar, S Jain, S Sah, R Ptucha 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1972-1981, 2018 | 45 | 2018 |
| Semantic sentence embeddings for paraphrasing and text summarization C Zhang, S Sah, T Nguyen, D Peri, A Loui, C Salvaggio, R Ptucha 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 35 | 2017 |
| Key frame extraction for salient activity recognition S Kulhare, S Sah, S Pillai, R Ptucha 2016 23rd International Conference on Pattern Recognition (ICPR), 835-840, 2016 | 35 | 2016 |
| Large scale sign language interpretation T Yuan, S Sah, T Ananthanarayana, C Zhang, A Bhat, S Gandhi, R Ptucha 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 27 | 2019 |
| In-cabin hazard prevention and safety control system for autonomous machine applications A Torabi, S Sivaraman, N Avadhanam, S Sah US Patent 11,485,308, 2022 | 21 | 2022 |
| Deep learning methods for sign language translation T Ananthanarayana, P Srivastava, A Chintha, A Santha, B Landy, ... ACM Transactions on Accessible Computing (TACCESS) 14 (4), 1-30, 2021 | 19 | 2021 |
| Video redaction: a survey and comparison of enabling technologies S Sah, A Shringi, R Ptucha, A Burry, R Loce Journal of Electronic Imaging 26 (5), 051406-051406, 2017 | 19 | 2017 |
| Image description through fusion based recurrent multi-modal learning RM Oruganti, S Sah, S Pillai, R Ptucha 2016 IEEE International Conference on Image Processing (ICIP), 3613-3617, 2016 | 19 | 2016 |
| Towards 3d convolutional neural networks with meshes M Dominguez, FP Such, S Sah, R Ptucha 2017 IEEE international conference on image processing (ICIP), 3929-3933, 2017 | 17 | 2017 |
| Understanding temporal structure for video captioning S Sah, T Nguyen, R Ptucha Pattern Analysis and Applications 23 (1), 147-159, 2020 | 13 | 2020 |
| Semantically invariant text-to-image generation S Sah, D Peri, A Shringi, C Zhang, M Dominguez, A Savakis, R Ptucha 2018 25th IEEE International Conference on Image Processing (ICIP), 3783-3787, 2018 | 9 | 2018 |
| Batch-normalized recurrent highway networks C Zhang, T Nguyen, S Sah, R Ptucha, A Loui, C Salvaggio 2017 IEEE International Conference on Image Processing (ICIP), 640-644, 2017 | 9 | 2017 |
| Automatic scanpath generation with deep recurrent neural networks D Simon, S Sridharan, S Sah, R Ptucha, C Kanan, R Bailey Proceedings of the ACM Symposium on Applied Perception, 130-130, 2016 | 9 | 2016 |
| Hierarchical decomposition of large deep networks S Chennupati Rochester Institute of Technology, 2016 | 9 | 2016 |
| Adaptive hierarchical classification networks SP Nooka, S Chennupati, K Veerabhadra, S Sah, R Ptucha 2016 23rd International Conference on Pattern Recognition (ICPR), 3578-3583, 2016 | 8 | 2016 |
Ray PtuchaAssistant Professor of Computer Engineering, Rochester Institute of TechnologyEmail verificata su rit.edu
