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Aayush Prakash
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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
6462018
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
1622019
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
1322019
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
1252019
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
652012
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
222012
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
132021
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
112020
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
72020
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
52021
Scene graph generation for unlabeled data
A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law
US Patent App. 17/226,561, 2021
22021
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
2*2019
Gavriel State, et al.(May 2019). Structured domain randomization: Bridging the reality gap by contextaware synthetic data
A Prakash, S Boochoon, M Brophy, D Acuna, E Cameracci
2019 International Conference on Robotics and Automation (ICRA), 7249-7255, 0
2
Unpaired Image Translation via Vector Symbolic Architectures
J Theiss, J Leverett, D Kim, A Prakash
arXiv preprint arXiv:2209.02686, 2022
2022
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
F Taherkhani, A Rai, Q Gao, S Srivastava, X Chen, F de la Torre, S Song, ...
arXiv preprint arXiv:2208.14263, 2022
2022
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
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, ...
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