| B-CNN: branch convolutional neural network for hierarchical classification X Zhu, M Bain arXiv preprint arXiv:1709.09890, 2017 | 176 | 2017 |
| Approximated bilinear modules for temporal modeling X Zhu, C Xu, L Hui, C Lu, D Tao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 35 | 2019 |
| Where and what? examining interpretable disentangled representations X Zhu, C Xu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 34 | 2021 |
| Learning disentangled representations with latent variation predictability X Zhu, C Xu, D Tao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 28 | 2020 |
| Commutative Lie Group VAE for Disentanglement Learning X Zhu, C Xu, D Tao ICML2021, 2021 | 24 | 2021 |
| ContraFeat: Contrasting Deep Features for Semantic Discovery X Zhu, C Xu, D Tao AAAI 2023, 2022 | 1 | 2022 |
| Anti-Compression Contrastive Facial Forgery Detection J Huang, X Zhu, C Du, S Ma, S Nepal, C Xu https://arxiv.org/abs/2302.06183, 2023 | | 2023 |
| Learning Disentangled Representations X Zhu University of Sydney (link: https://ses.library.usyd.edu.au/handle/2123/29858), 2022 | | 2022 |
Chang XuUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
