| How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) A Bulat, G Tzimiropoulos The IEEE International Conference on Computer Vision (ICCV), 2017 | 1714 | 2017 |
| Human pose estimation via convolutional part heatmap regression A Bulat, G Tzimiropoulos European Conference on Computer Vision, 717-732, 2016 | 688 | 2016 |
| Large pose 3D face reconstruction from a single image via direct volumetric CNN regression AS Jackson, A Bulat, V Argyriou, G Tzimiropoulos Proceedings of the IEEE International Conference on Computer Vision, 1031-1039, 2017 | 530 | 2017 |
| To learn image super-resolution, use a GAN to learn how to do image degradation first A Bulat, J Yang, G Tzimiropoulos European Conference on Computer Vision, 2018 | 434 | 2018 |
| Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs A Bulat, G Tzimiropoulos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 375 | 2018 |
| Deep machine learning provides state-of-the-art performance in image-based plant phenotyping MP Pound, JA Atkinson, AJ Townsend, MH Wilson, M Griffiths, ... Gigascience 6 (10), gix083, 2017 | 363 | 2017 |
| Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources A Bulat, G Tzimiropoulos Proceedings of the IEEE International Conference on Computer Vision, 3706-3714, 2017 | 262 | 2017 |
| Training binary neural networks with real-to-binary convolutions B Martinez, J Yang, A Bulat, G Tzimiropoulos International Conference on Learning Representations (ICLR), 2020 | 239 | 2020 |
| XNOR-Net++: Improved binary neural networks A Bulat, G Tzimiropoulos Proceedings of the British Machine Vision Conference (BMVC), 2019 | 211 | 2019 |
| Knowledge distillation via softmax regression representation learning J Yang, B Martinez, A Bulat, G Tzimiropoulos International Conference on Learning Representations (ICLR), 2021 | 152* | 2021 |
| Estimation of continuous valence and arousal levels from faces in naturalistic conditions A Toisoul, J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic Nature Machine Intelligence, 1-9, 2021 | 151 | 2021 |
| EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers J Pan, A Bulat, F Tan, X Zhu, L Dudziak, H Li, G Tzimiropoulos, B Martinez European Conference on Computer Vision (ECCV), 2022 | 141 | 2022 |
| Toward fast and accurate human pose estimation via soft-gated skip connections A Bulat, J Kossaifi, G Tzimiropoulos, M Pantic 2020 15th IEEE International Conference on Automatic Face & Gesture Recognition, 2020 | 119 | 2020 |
| Space-time Mixing Attention for Video Transformer A Bulat, JM Perez-Rua, S Sudhakaran, B Martinez, G Tzimiropoulos Advances in Neural Information Processing Systems (NeurIPS), 2021 | 114 | 2021 |
| Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation J Kossaifi, A Toisoul, A Bulat, Y Panagakis, TM Hospedales, M Pantic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 94 | 2020 |
| Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3dfaw) challenge A Bulat, G Tzimiropoulos European Conference on Computer Vision, 616-624, 2016 | 93 | 2016 |
| Convolutional aggregation of local evidence for large pose face alignment A Bulat, G Tzimiropoulos Proceedings of the British Machine Vision Conference (BMVC), 2016 | 79 | 2016 |
| BATS: Binary ArchitecTure Search A Bulat, B Martinez, G Tzimiropoulos European Conference on Computer Vision (ECCV), 2020 | 76 | 2020 |
| T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor J Kossaifi, A Bulat, G Tzimiropoulos, M Pantic IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 75 | 2019 |
| High-Capacity Expert Binary Networks A Bulat, B Martinez, G Tzimiropoulos International Conference on Learning Representations (ICLR), 2021 | 65 | 2021 |
Georgios (Yorgos) TzimiropoulosSamsung AI Center, Cambridge | Queen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
