| 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 | 509 | 2018 |
| Gated-scnn: Gated shape cnns for semantic segmentation T Takikawa, D Acuna, V Jampani, S Fidler Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 362 | 2019 |
| Efficient interactive annotation of segmentation datasets with polygon-rnn++ D Acuna, H Ling, A Kar, S Fidler Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 288 | 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 | 125 | 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 | 118 | 2019 |
| Devil is in the edges: Learning semantic boundaries from noisy annotations D Acuna, A Kar, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 111 | 2019 |
| Object instance annotation with deep extreme level set evolution Z Wang, D Acuna, H Ling, A Kar, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 53 | 2019 |
| Neural turtle graphics for modeling city road layouts H Chu, D Li, D Acuna, A Kar, M Shugrina, X Wei, MY Liu, A Torralba, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 37 | 2019 |
| Neural data server: A large-scale search engine for transfer learning data X Yan, D Acuna, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 25 | 2020 |
| f-Domain Adversarial Learning: Theory and Algorithms D Acuna, G Zhang, MT Law, S Fidler International Conference on Machine Learning, 66-75, 2021 | 12 | 2021 |
| Towards real-time detection and tracking of basketball players using deep neural networks D Acuna Proceedings of the 31st Conference on Neural Information Processing Systems …, 2017 | 12 | 2017 |
| Gated-scnn: Gated shape CNNs for semantic segmentation. arXiv 2019 T Takikawa, D Acuna, V Jampani, S Fidler arXiv preprint arXiv:1907.05740, 0 | 8 | |
| Variational amodal object completion H Ling, D Acuna, K Kreis, SW Kim, S Fidler Advances in Neural Information Processing Systems 33, 16246-16257, 2020 | 7 | 2020 |
| Unsupervised modeling of the movement of basketball players using a deep generative model D Acuna | 5 | 2020 |
| Systems and methods for polygon object annotation and a method of training and object annotation system S Fidler, A Kar, H Ling, J Gao, W Chen, DJA Marrero US Patent 10,643,130, 2020 | 3 | 2020 |
| Complex momentum for learning in games J Lorraine, D Acuna, P Vicol, D Duvenaud arXiv e-prints, arXiv: 2102.08431, 2021 | 2 | 2021 |
| Shape fusion for image analysis DJA Marrero, T Takikawa, V Jampani, S Fidler US Patent App. 16/825,192, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
| Complex Momentum for Optimization in Games JP Lorraine, D Acuna, P Vicol, D Duvenaud International Conference on Artificial Intelligence and Statistics, 7742-7765, 2022 | 1 | 2022 |
| Iterative spatial graph generation H Chu, D Li, DJA Marrero, A Kar, M Shugrina, MY Liu, AT Barriuso, ... US Patent App. 16/825,199, 2020 | 1 | 2020 |
Sanja FidlerUniversity of Toronto, NVIDIAEmail verificata su cs.toronto.edu
