| 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), 907-929, 2019 | 226 | 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 | 184 | 2017 |
| Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface D Kollias, S Zafeiriou arXiv preprint arXiv:1910.04855, 2019 | 139 | 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 | 122 | 2020 |
| Deep neural architectures for prediction in healthcare D Kollias, A Tagaris, A Stafylopatis, S Kollias, G Tagaris Complex & Intelligent Systems 4 (2), 119-131, 2018 | 96 | 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 | 95 | 2017 |
| Aff-wild2: Extending the aff-wild database for affect recognition D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07770, 2018 | 87 | 2018 |
| 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 | 76 | 2019 |
| 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 (5), 1455-1484, 2020 | 59* | 2020 |
| Distribution matching for heterogeneous multi-task learning: a large-scale face study D Kollias, V Sharmanska, S Zafeiriou arXiv preprint arXiv:2105.03790, 2021 | 58 | 2021 |
| Analysing affective behavior in the second abaw2 competition D Kollias, S Zafeiriou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 56 | 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 | 54 | 2021 |
| A multi-task learning & generation framework: Valence-arousal, action units & primary expressions D Kollias, S Zafeiriou arXiv preprint arXiv:1811.07771, 2018 | 51 | 2018 |
| Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset A Tagaris, D Kollias, A Stafylopatis, G Tagaris, S Kollias International Journal on Artificial Intelligence Tools 27 (03), 1850011, 2018 | 45 | 2018 |
| 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 | 43 | 2020 |
| Adaptation and contextualization of deep neural network models D Kollias, M Yu, A Tagaris, G Leontidis, A Stafylopatis, S Kollias 2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017 | 38 | 2017 |
| Training deep neural networks with different datasets in-the-wild: The emotion recognition paradigm D Kollias, S Zafeiriou 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 36 | 2018 |
| A multi-component CNN-RNN approach for dimensional emotion recognition in-the-wild D Kollias, S Zafeiriou arXiv preprint arXiv:1805.01452, 2018 | 34 | 2018 |
| Assessment of parkinson’s disease based on deep neural networks A Tagaris, D Kollias, A Stafylopatis International Conference on Engineering Applications of Neural Networks, 391-403, 2017 | 34 | 2017 |
| On line emotion detection using retrainable deep neural networks D Kollias, A Tagaris, A Stafylopatis 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 32 | 2016 |
