| SketchParse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks RK Sarvadevabhatla, I Dwivedi, A Biswas, S Manocha Proceedings of the 25th ACM international conference on Multimedia, 10-18, 2017 | 20 | 2017 |
| High quality prediction of protein Q8 secondary structure by diverse neural network architectures I Drori, I Dwivedi, P Shrestha, J Wan, Y Wang, Y He, A Mazza, ... NIPS 2018 Workshop on Machine Learning for Molecules and Materials, 10 pages, 2018 | 12 | 2018 |
| Online writer identification using sparse coding and histogram based descriptors I Dwivedi, S Gupta, V Venugopal, S Sundaram 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 11 | 2016 |
| NEMO: Future Object Localization Using Noisy Ego Priors S Malla, I Dwivedi, B Dariush, C Choi arXiv preprint arXiv:1909.08150, 2019 | 7 | 2019 |
| Dynamic traffic scene classification with space-time coherence A Narayanan, I Dwivedi, B Dariush 2019 International Conference on Robotics and Automation (ICRA), 5629-5635, 2019 | 5 | 2019 |
| SSP: Single Shot Future Trajectory Prediction I Dwivedi, S Malla, B Dariush, C Choi arXiv preprint arXiv:2004.05846, 2020 | 2 | 2020 |
| Scene classification prediction AL NARAYANAN, I Dwivedi, B Dariush US Patent App. 16/438,365, 2020 | 2 | 2020 |
| Scene classification AL NARAYANAN, I Dwivedi, B Dariush US Patent App. 16/374,205, 2020 | 1 | 2020 |
| Assessing the ability of convolutional neural networks to detect glaucoma from oct probability maps KA Thakoor, Q Zheng, L Nan, X Li, EM Tsamis, R Rajshekhar, I Dwivedi, ... Investigative Ophthalmology & Visual Science 60 (9), 1464-1464, 2019 | 1 | 2019 |
| SketchParse: Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks R Kiran Sarvadevabhatla, I Dwivedi, A Biswas, S Manocha, ... arXiv e-prints, arXiv: 1709.01295, 2017 | | 2017 |
Behzad DariushHonda Research Institute USABestätigte E-Mail-Adresse bei honda-ri.com
