| 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 | 122 | 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, 2022 | 47 | 2022 |
| Gradnet image denoising Y Liu, S Anwar, L Zheng, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
| 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 | 11 | 2022 |
| Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon International Conference on Neural Information Processing, 172-184, 2020 | 11 | 2020 |
| 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 |
| Anonymization for Skeleton Action Recognition M Kim, Z Qin, Y Liu, D Kim AAAI, 2023 | 4* | 2023 |
| 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 | 4 | 2021 |
| Classification Models for Medical Data with Interpretative Rules X Xu, X Ding, Z Qin, Y Liu International Conference on Neural Information Processing, 227-239, 2021 | 1 | 2021 |
| Skeletons on the Stairs: Are They Deceptive? Y Li, Y Liu, Z Qin, X Zhu, S Caldwell, T Gedeon International Conference on Neural Information Processing, 194-202, 2021 | | 2021 |
Zhenyue QinSeeing Machines; Australian National University; ex TencentVerified email at anu.edu.au
