| Training deep networks with synthetic data: Bridging the reality gap by domain randomization J Tremblay, A Prakash, D Acuna, M Brophy, V Jampani, C Anil, T To, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 556 | 2018 |
| Meta-sim: Learning to generate synthetic datasets A Kar, A Prakash, MY Liu, E Cameracci, J Yuan, M Rusiniak, D Acuna, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 136 | 2019 |
| Structured domain randomization: Bridging the reality gap by context-aware synthetic data A Prakash, S Boochoon, M Brophy, D Acuna, E Cameracci, G State, ... 2019 International Conference on Robotics and Automation (ICRA), 7249-7255, 2019 | 112 | 2019 |
| Structured domain randomization: Bridging the reality gap by context-aware synthetic data A Prakash, S Boochoon, M Brophy, D Acuna, E Cameracci, G State, ... 2019 International Conference on Robotics and Automation (ICRA), 7249-7255, 2019 | 107 | 2019 |
| Parallel simulation of mixed-abstraction SystemC models on GPUs and multicore CPUs R Sinha, A Prakash, HD Patel 17th Asia and South Pacific Design Automation Conference, 455-460, 2012 | 64 | 2012 |
| An instruction scratchpad memory allocation for the precision timed architecture A Prakash, HD Patel 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE), 659-664, 2012 | 21 | 2012 |
| Self-Supervised Real-to-Sim Scene Generation A Prakash, S Debnath, JF Lafleche, E Cameracci, S Birchfield, MT Law Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Generation of synthetic images for training a neural network model J Tremblay, A Prakash, MA Brophy, V Jampani, C Anil, ST Birchfield, ... US Patent 10,867,214, 2020 | 4 | 2020 |
| Self-Supervised Object Detection via Generative Image Synthesis SK Mustikovela, S De Mello, A Prakash, U Iqbal, S Liu, T Nguyen-Phuoc, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 3 | 2021 |
| Learning to generate synthetic datasets for traning neural networks A Kar, A Prakash, MY Liu, DJA Marrero, AT Barriuso, S Fidler US Patent App. 16/685,795, 2020 | 3 | 2020 |
| Scene graph generation for unlabeled data A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law US Patent App. 17/226,561, 2021 | 2 | 2021 |
| Generation of synthetic images for training a neural network model J Tremblay, A Prakash, MA Brophy, V Jampani, C Anil, ST Birchfield, ... US Patent 11,182,649, 2021 | | 2021 |
| Self-Supervised Object Detection via Generative Image Synthesis S Karthik Mustikovela, S De Mello, A Prakash, U Iqbal, S Liu, ... arXiv e-prints, arXiv: 2110.09848, 2021 | | 2021 |
| Self-Supervised Real-to-Sim Scene Generation A Prakash, S Debnath, JF Lafleche, E Cameracci, G State, S Birchfield, ... arXiv preprint arXiv:2011.14488, 2020 | | 2020 |
| Meta-sim: Learning to generate synthetic datasets. 2019 IEEE A Kar, A Prakash, MY Liu, E Cameracci, J Yuan, M Rusiniak, D Acuna, ... CVF International Conference on Computer Vision (ICCV), 4550-4559, 2019 | | 2019 |
| Supplementary Material for Self-Supervised Object Detection via Generative Image Synthesis SK Mustikovela, S De Mello, A Prakash, U Iqbal, S Liu, T Nguyen-Phuoc, ... | | |
| Meta-Sim: Learning to Generate Synthetic Datasets Download PDF A Kar, A Prakash, MY Liu, E Cameracci, J Yuan, M Rusiniak, D Acuna, ... | | |
David AcunaUniversity of TorontoVerified email at cs.toronto.edu
