| Invertible denoising network: A light solution for real noise removal Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 169 | 2021 |
| Fusing higher-order features in graph neural networks for skeleton-based action recognition Z Qin, Y Liu, P Ji, D Kim, L Wang, RI McKay, S Anwar, T Gedeon IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4783-4797, 2022 | 78 | 2022 |
| Rethinking softmax with cross-entropy: Neural network classifier as mutual information estimator Z Qin, D Kim, T Gedeon arXiv preprint arXiv:1911.10688, 2019 | 69 | 2019 |
| Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data XW Zhang, JF Liu, Z Qin, QIN Fen Journal of Integrative Agriculture 18 (11), 2628-2643, 2019 | 23 | 2019 |
| Are deep neural architectures losing information? invertibility is indispensable Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 21 | 2020 |
| Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers’ Pupillary Responses X Zhu, Z Qin, T Gedeon, R Jones, MZ Hossain, S Caldwell Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 20 | 2018 |
| Visual saliency maps can apply to facial expression recognition Z Qin, J Wu arXiv preprint arXiv:1811.04544, 2018 | 19 | 2018 |
| Disentangling noise from images: A flow-based image denoising neural network Y Liu, S Anwar, Z Qin, P Ji, S Caldwell, T Gedeon Sensors 22 (24), 9844, 2022 | 16 | 2022 |
| Neural networks assist crowd predictions in discerning the veracity of emotional expressions Z Qin, T Gedeon, S Caldwell Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 8 | 2018 |
| Anonymization for skeleton action recognition S Moon, M Kim, Z Qin, Y Liu, D Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15028 …, 2023 | 7 | 2023 |
| Leveraging third-order features in skeleton-based action recognition Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon arXiv preprint arXiv:2105.01563, 2021 | 7 | 2021 |
| Your eyes say you’re lying: an eye movement pattern analysis for face familiarity and deceptive cognition J Zuo, T Gedeon, Z Qin 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Anubis: Skeleton action recognition dataset, review, and benchmark Z Qin, Y Liu, M Perera, T Gedeon, P Ji, D Kim, S Anwar arXiv preprint arXiv:2205.02071, 2022 | 5 | 2022 |
| Position-sensing graph neural networks: Proactively learning nodes relative positions Z Qin, S Anwar, D Kim, Y Liu, P Ji, T Gedeon arXiv preprint arXiv:2105.11346, 2021 | 5 | 2021 |
| Teamgl at acrv robotic vision challenge 1: Probabilistic object detection via staged non-suppression ensembling D Li, C Xu, Y Liu, Z Qin CVPR Workshop on the Robotic Vision Probabilistic Object Detection Challenge, 2019 | 5 | 2019 |
| Artificial neural networks can distinguish genuine and acted anger by synthesizing pupillary dilation signals from different participants Z Qin, T Gedeon, L Chen, X Zhu, MZ Hossain Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 5 | 2018 |
| Why don't the modules dominate? Z Qin, T Gedeon, RI McKay Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 4 | 2018 |
| Detecting and restoring non-standard hands in stable diffusion generated images Y Zhang, Z Qin, Y Liu, D Campbell arXiv preprint arXiv:2312.04236, 2023 | 3 | 2023 |
| Informative class activation maps Z Qin, D Kim, T Gedeon arXiv preprint arXiv:2106.10472, 2021 | 3 | 2021 |
| Neural network classifier as mutual information evaluator Z Qin, D Kim, T Gedeon arXiv preprint arXiv:2106.10471, 2021 | 3 | 2021 |
Tom GedeonHuman-Centric Advancements Chair in AI, Curtin UniversityVerified email at curtin.edu.au
