Ruben Villegas
Ruben Villegas
Research Scientist, Adobe Research
Verified email at - Homepage
Cited by
Cited by
Learning latent dynamics for planning from pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
Proceedings of the 36th International Conference on Machine Learning, 2019
Decomposing motion and content for natural video sequence prediction
R Villegas, J Yang, S Hong, X Lin, H Lee
International Conference on Learning Representations, 2017
Learning to generate long-term future via hierarchical prediction
R Villegas, J Yang, Y Zou, S Sohn, X Lin, H Lee
Proceedings of the 34th International Conference on Machine Learning, 2017
Improving object detection with deep convolutional networks via bayesian optimization and structured prediction
Y Zhang, K Sohn, R Villegas, G Pan, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Who do i look like? determining parent-offspring resemblance via gated autoencoders
A Dehghan, EG Ortiz, R Villegas, M Shah
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Neural Kinematic Networks for Unsupervised Motion Retargetting
R Villegas, J Yang, D Ceylan, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Hierarchical Long-term Video Prediction without Supervision
N Wichers, R Villegas, D Erhan, H Lee
Proceedings of the 35th International Conference on Machine Learning, 2018
Unsupervised learning of object structure and dynamics from videos
M Minderer, C Sun, R Villegas, F Cole, K Murphy, H Lee
arXiv preprint arXiv:1906.07889, 2019
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
X Yan, A Rastogi, R Villegas, K Sunkavalli, E Shechtman, S Hadap, ...
European Conference on Computer Vision (ECCV), 2018, 2018
High fidelity video prediction with large stochastic recurrent neural networks
R Villegas, A Pathak, H Kannan, D Erhan, QV Le, H Lee
Advances in Neural Information Processing Systems 32, 81-91, 2019
Contact and human dynamics from monocular video
D Rempe, LJ Guibas, A Hertzmann, B Russell, R Villegas, J Yang
European Conference on Computer Vision, 71-87, 2020
Future object trajectory predictions for autonomous machine applications
R Villegas, A Troccoli, I Frosio, S Tyree, W Byeon, J Kautz
US Patent App. 16/564,978, 2020
Retargeting skeleton motion sequences through cycle consistency adversarial training of a motion synthesis neural network with a forward kinematics layer
J Yang, D Ceylan, R Villegas
US Patent 10,546,408, 2020
Contact-Aware Retargeting of Skinned Motion
R Villegas, D Ceylan, A Hertzmann, J Yang, J Saito
arXiv preprint arXiv:2109.07431, 2021
Stochastic Scene-Aware Motion Prediction
M Hassan, D Ceylan, R Villegas, J Saito, J Yang, Y Zhou, M Black
arXiv preprint arXiv:2108.08284, 2021
Single-image Full-body Human Relighting
M Lagunas, X Sun, J Yang, R Villegas, J Zhang, Z Shu, B Masia, ...
arXiv preprint arXiv:2107.07259, 2021
Task-Generic Hierarchical Human Motion Prior using VAEs
J Li, R Villegas, D Ceylan, J Yang, Z Kuang, H Li, Y Zhao
arXiv preprint arXiv:2106.04004, 2021
Modeling Structured Dynamics with Deep Neural Networks
R Villegas
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