David Acuna
David Acuna
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
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
4062018
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
2282018
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
2232019
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
862019
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
85*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
772019
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
432019
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
342019
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
102017
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
92020
Gated-scnn: Gated shape CNNs for semantic segmentation. arXiv 2019
T Takikawa, D Acuna, V Jampani, S Fidler
arXiv preprint arXiv:1907.05740, 0
7
Unsupervised modeling of the movement of basketball players using a deep generative model
D Acuna
Paper only accessible online through http://www. cs. toronto. edu/∼ davidj …, 2017
52017
Variational Amodal Object Completion
H Ling, D Acuna, K Kreis, SW Kim, S Fidler
NeurIPS, 2020
32020
f-Domain-Adversarial Learning: Theory and Algorithms
D Acuna, G Zhang, MT Law, S Fidler
arXiv preprint arXiv:2106.11344, 2021
22021
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
22020
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
22020
Complex Momentum for Learning in Games
J Lorraine, D Acuna, P Vicol, D Duvenaud
arXiv preprint arXiv:2102.08431, 2021
12021
Shape fusion for image analysis
DJA Marrero, T Takikawa, V Jampani, S Fidler
US Patent App. 16/825,192, 2020
12020
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
12020
Generating Class-conditional Images with Gradient-based Inference
B Xu, D Acuņa, D Duvenaud
NIPS Workshop in Constructive Machine Learning, 2016
12016
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