| 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 | 764 | 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 | 496 | 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 | 354 | 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 | 227 | 2015 |
| 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 | 132 | 2018 |
| 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 | 122 | 2014 |
| 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 | 111 | 2018 |
| Unsupervised learning of object structure and dynamics from videos M Minderer, C Sun, R Villegas, F Cole, KP Murphy, H Lee Advances in Neural Information Processing Systems 32, 2019 | 86 | 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 | 85 | 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, 2019 | 83 | 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 | 41 | 2020 |
| Stochastic scene-aware motion prediction M Hassan, D Ceylan, R Villegas, J Saito, J Yang, Y Zhou, MJ Black Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| Task-generic hierarchical human motion prior using vaes J Li, R Villegas, D Ceylan, J Yang, Z Kuang, H Li, Y Zhao 2021 International Conference on 3D Vision (3DV), 771-781, 2021 | 11 | 2021 |
| 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 | 9 | 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 | 7 | 2020 |
| 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 | 5 | 2021 |
| Contact-Aware Retargeting of Skinned Motion R Villegas, D Ceylan, A Hertzmann, J Yang, J Saito Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 2 | 2021 |
| RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects Y Jang, R Villegas, J Yang, D Ceylan, X Sun, H Lee arXiv preprint arXiv:2205.06975, 2022 | | 2022 |
| Motion Retargeting with Kinematic Constraints RE Villegas, J Saito, J Yang, DC Aksit US Patent App. 17/486,269, 2022 | | 2022 |
| End-to-End Relighting Of A Foreground Object Of An Image X Sun, R Villegas, ML Arto, J Yang, J Zhang US Patent App. 16/823,092, 2021 | | 2021 |
Honglak LeeLG AI Research / U. Michiganumich.edu의 이메일 확인됨
