| A neural micro-expression recognizer Y Liu, H Du, L Zheng, T Gedeon 2019 14th IEEE international conference on automatic face & gesture …, 2019 | 132 | 2019 |
| Semi-siamese training for shallow face learning H Du, H Shi, Y Liu, J Wang, Z Lei, D Zeng, T Mei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Boosting semi-supervised face recognition with noise robustness Y Liu, H Shi, H Du, R Zhu, J Wang, L Zheng, T Mei IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 778-787, 2021 | 18 | 2021 |
| Generalized alignment for multimodal physiological signal learning Y Liu, Y Yao, Z Wang, J Plested, T Gedeon 2019 International Joint Conference on Neural Networks (IJCNN), 1-10, 2019 | 8 | 2019 |
| How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? Y Liu, Z Wang, T Gedeon, L Zheng European Conference on Computer Vision (ECCV), 2022 | 6* | 2022 |
| Improved Techniques for Building EEG Feature Filters Y Yao, J Plested, T Gedeon, Y Liu, Z Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 6 | 2019 |
| Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking Y Liu, Z Wang, X Zhou, L Zheng arXiv preprint arXiv:2106.16100, 2021 | 3 | 2021 |
| A Study of Using Synthetic Data for Effective Association Knowledge Learning Y Liu, Z Wang, X Zhou, L Zheng Machine Intelligence Research 20 (2), 194-206, 2023 | 1 | 2023 |
Tom GedeonHuman-Centric Advancements Chair in AI, Curtin UniversityVerified email at curtin.edu.au
