| Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond D Kollias, P Tzirakis, MA Nicolaou, A Papaioannou, G Zhao, B Schuller, ... International Journal of Computer Vision 127 (6-7), 907-929, 2019 | 355 | 2019 |
| Aff-wild: valence and arousal'In-the-Wild'challenge S Zafeiriou, D Kollias, MA Nicolaou, A Papaioannou, G Zhao, I Kotsia Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 294 | 2017 |
| Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface D Kollias, S Zafeiriou 30th British Machine Vision Conference, BMVC 2019, 297, 2019 | 257 | 2019 |
| Analysing affective behavior in the first abaw 2020 competition D Kollias, A Schulc, E Hajiyev, S Zafeiriou 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 197 | 2020 |
| Deep neural architectures for prediction in healthcare D Kollias, A Tagaris, A Stafylopatis, S Kollias, G Tagaris Complex & Intelligent Systems 4, 119-131, 2018 | 157 | 2018 |
| Recognition of affect in the wild using deep neural networks D Kollias, MA Nicolaou, I Kotsia, G Zhao, S Zafeiriou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 145 | 2017 |
| Face behavior a la carte: Expressions, affect and action units in a single network D Kollias, V Sharmanska, S Zafeiriou arXiv preprint arXiv:1910.11111, 2019 | 140 | 2019 |
| Distribution matching for heterogeneous multi-task learning: a large-scale face study D Kollias, V Sharmanska, S Zafeiriou arXiv preprint arXiv:2105.03790, 2021 | 138 | 2021 |
| Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework D Kollias, S Zafeiriou arXiv preprint arXiv:2103.15792, 2021 | 134 | 2021 |
| Aff-wild2: Extending the aff-wild database for affect recognition D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07770, 2018 | 133 | 2018 |
| Analysing affective behavior in the second abaw2 competition D Kollias, S Zafeiriou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 125 | 2021 |
| Exploiting multi-cnn features in cnn-rnn based dimensional emotion recognition on the omg in-the-wild dataset D Kollias, S Zafeiriou IEEE Transactions on Affective Computing 12 (3), 595-606, 2020 | 124 | 2020 |
| Deep neural network augmentation: Generating faces for affect analysis D Kollias, S Cheng, E Ververas, I Kotsia, S Zafeiriou International Journal of Computer Vision 128, 1455-1484, 2020 | 123* | 2020 |
| Abaw: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges D Kollias Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 115 | 2022 |
| Mia-cov19d: Covid-19 detection through 3-d chest ct image analysis D Kollias, A Arsenos, L Soukissian, S Kollias Proceedings of the IEEE/CVF International Conference on Computer Vision, 537-544, 2021 | 83 | 2021 |
| Deep transparent prediction through latent representation analysis D Kollias, N Bouas, Y Vlaxos, V Brillakis, M Seferis, I Kollia, L Sukissian, ... arXiv preprint arXiv:2009.07044, 2020 | 74 | 2020 |
| Transparent adaptation in deep medical image diagnosis D Kollias, Y Vlaxos, M Seferis, I Kollia, L Sukissian, J Wingate, S Kollias Trustworthy AI-Integrating Learning, Optimization and Reasoning: First …, 2021 | 73 | 2021 |
| A multi-task learning & generation framework: Valence-arousal, action units & primary expressions D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07771, 2018 | 67 | 2018 |
| Abaw: Learning from synthetic data & multi-task learning challenges D Kollias European Conference on Computer Vision, 157--172, 2022 | 61 | 2022 |
| Ai-mia: Covid-19 detection & severity analysis through medical imaging D Kollias, A Arsenos, S Kollias European Conference on Computer Vision, 677--690, 2022 | 61 | 2022 |
