| 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 | 707 | 2018 |
| First order motion model for image animation A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Advances in Neural Information Processing Systems 32, 2019 | 272 | 2019 |
| 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 | 256 | 2016 |
| Animating arbitrary objects via deep motion transfer A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 154 | 2019 |
| 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 | 69 | 2015 |
| Transformable bottleneck networks K Olszewski, S Tulyakov, O Woodford, H Li, L Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 63 | 2019 |
| 3d guided fine-grained face manipulation Z Geng, C Cao, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 47 | 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 | 43 | 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 | 40 | 2014 |
| Laplace Landmark Localization JP Robinson, Y Li, N Zhang, Y Fu, S Tulyakov arXiv preprint arXiv:1903.11633, 2019 | 32 | 2019 |
| Michigan: multi-input-conditioned hair image generation for portrait editing Z Tan, M Chai, D Chen, J Liao, Q Chu, L Yuan, S Tulyakov, N Yu ACM Trans. Graph., 2020 | 29 | 2020 |
| 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 | 29 | 2015 |
| Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions N Sebe, X Alameda-Pineda, S Tulyakov, E Ricci, L Yin, JF Cohn US Patent 10,335,045, 2019 | 28 | 2019 |
| Smil: Multimodal learning with severely missing modality M Ma, J Ren, L Zhao, S Tulyakov, C Wu, X Peng The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 21 | 2021 |
| Viewpoint-consistent 3D Face Alignment S Tulyakov, L Jeni, J Cohn, N Sebe IEEE Trans Pattern Anal Mach Intell, 1-1, 2017 | 21* | 2017 |
| A good image generator is what you need for high-resolution video synthesis Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov International Conference on Learning Representations, 2021 | 20 | 2021 |
| Recurrent Convolutional Face Alignment W Wang, S Tulyakov, N Sebe Asian Conference on Computer Vision, 2016 | 20 | 2016 |
| Motion representations for articulated animation A Siarohin, OJ Woodford, J Ren, M Chai, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Interactive video stylization using few-shot patch-based training O Texler, D Futschik, M Kučera, O Jamriška, Š Sochorová, M Chai, ... ACM Transactions on Graphics (TOG) 39 (4), 73: 1-73: 11, 2020 | 18 | 2020 |
| Recurrent convolutional shape regression W Wang, S Tulyakov, N Sebe IEEE transactions on pattern analysis and machine intelligence 40 (11), 2569 …, 2018 | 17 | 2018 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
