| Mocogan: Decomposing motion and content for video generation S Tulyakov, MY Liu, X Yang, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 339 | 2018 |
| Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions S Tulyakov, X Alameda-Pineda, E Ricci, L Yin, JF Cohn, N Sebe Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 145 | 2016 |
| Regressing a 3D face shape from a single image S Tulyakov, N Sebe Proceedings of the IEEE International Conference on Computer Vision, 3748-3755, 2015 | 54 | 2015 |
| Animating arbitrary objects via deep motion transfer A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 42 | 2019 |
| The first 3d face alignment in the wild (3dfaw) challenge LA Jeni, S Tulyakov, L Yin, N Sebe, JF Cohn European Conference on Computer Vision, 511-520, 2016 | 34 | 2016 |
| Robust real-time extreme head pose estimation S Tulyakov, RL Vieriu, S Semeniuta, N Sebe 2014 22nd International Conference on Pattern Recognition, 2263-2268, 2014 | 31 | 2014 |
| Facial expression recognition under a wide range of head poses RL Vieriu, S Tulyakov, S Semeniuta, E Sangineto, N Sebe 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 | 25 | 2015 |
| First order motion model for image animation A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Advances in Neural Information Processing Systems, 7137-7147, 2019 | 18 | 2019 |
| Viewpoint-consistent 3D Face Alignment S Tulyakov, L Jeni, J Cohn, N Sebe IEEE Trans Pattern Anal Mach Intell, 1-1, 2017 | 17* | 2017 |
| 3d guided fine-grained face manipulation Z Geng, C Cao, S Tulyakov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 16 | 2019 |
| Transformable bottleneck networks K Olszewski, S Tulyakov, O Woodford, H Li, L Luo Proceedings of the IEEE International Conference on Computer Vision, 7648-7657, 2019 | 15 | 2019 |
| Recurrent convolutional shape regression W Wang, S Tulyakov, N Sebe IEEE transactions on pattern analysis and machine intelligence 40 (11), 2569 …, 2018 | 15 | 2018 |
| Recurrent Convolutional Face Alignment W Wang, S Tulyakov, N Sebe Asian Conference on Computer Vision, 2016 | 15 | 2016 |
| Laplace Landmark Localization JP Robinson, Y Li, N Zhang, Y Fu, S Tulyakov arXiv preprint arXiv:1903.11633, 2019 | 12 | 2019 |
| Train one get one free: Partially supervised neural network for bug report duplicate detection and clustering L Poddar, L Neves, W Brendel, L Marujo, S Tulyakov, P Karuturi arXiv preprint arXiv:1903.12431, 2019 | 5 | 2019 |
| Facecept3d: real time 3d face tracking and analysis S Tulyakov, RL Vieriu, E Sangineto, N Sebe Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 5 | 2015 |
| System and method for content and motion controlled action video generation MY Liu, X Yang, J Kautz, S Tulyakov US Patent 10,595,039, 2020 | 3 | 2020 |
| Hybrid vae: Improving deep generative models using partial observations S Tulyakov, A Fitzgibbon, S Nowozin arXiv preprint arXiv:1711.11566, 2017 | 3 | 2017 |
| Real-time patch-based stylization of portraits using generative adversarial network D Futschik, M Chai, C Cao, C Ma, A Stoliar, S Korolev, S Tulyakov, ... Proceedings of the 8th ACM/Eurographics Expressive Symposium on …, 2019 | 2 | 2019 |
| Interactive Video Stylization Using Few-Shot Patch-Based Training O Texler, D Futschik, M Kučera, O Jamriška, Š Sochorová, M Chai, ... arXiv preprint arXiv:2004.14489, 2020 | 1 | 2020 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
