| Learning trajectory dependencies for human motion prediction W Mao, M Liu, M Salzmann, H Li Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 665 | 2019 |
| Cost volume pyramid based depth inference for multi-view stereo J Yang, W Mao, JM Alvarez, M Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 466 | 2020 |
| History repeats itself: Human motion prediction via motion attention W Mao, M Liu, M Salzmann European Conference on Computer Vision, 474-489, 2020 | 433 | 2020 |
| Generating smooth pose sequences for diverse human motion prediction W Mao, M Liu, M Salzmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 128 | 2021 |
| Multi-level motion attention for human motion prediction W Mao, M Liu, M Salzmann, H Li International journal of computer vision 129 (9), 2513-2535, 2021 | 102 | 2021 |
| Weakly-supervised action transition learning for stochastic human motion prediction W Mao, M Liu, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
| Contact-aware human motion forecasting W Mao, RI Hartley, M Salzmann Advances in Neural Information Processing Systems 35, 7356-7367, 2022 | 47 | 2022 |
| Interacting hand-object pose estimation via dense mutual attention R Wang, W Mao, H Li Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 37 | 2023 |
| Visfusion: Visibility-aware online 3d scene reconstruction from videos H Gao, W Mao, M Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Motion anything: Any to motion generation Z Zhang, Y Wang, W Mao, D Li, R Zhao, B Wu, Z Song, B Zhuang, I Reid, ... arXiv preprint arXiv:2503.06955, 2025 | 18 | 2025 |
| Deepsimho: stable pose estimation for hand-object interaction via physics simulation R Wang, W Mao, H Li Advances in Neural Information Processing Systems 36, 79685-79697, 2023 | 15 | 2023 |
| Scene-aware human motion forecasting via mutual distance prediction C Xing, W Mao, M Liu European Conference on Computer Vision, 128-144, 2024 | 9 | 2024 |
| Towards high-quality 3d motion transfer with realistic apparel animation R Wang, W Mao, C Lu, H Li European Conference on Computer Vision, 35-51, 2024 | 7 | 2024 |
| Neural sdf flow for 3d reconstruction of dynamic scenes W Mao, R Hartley, M Salzmann The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfer R Wang, W Mao, C Lu, H Li arXiv preprint arXiv:2512.05593, 2025 | | 2025 |
| Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video HC Nguyen, W Mao, JM Alvarez, M Liu Proceedings of the Computer Vision and Pattern Recognition Conference, 11472 …, 2025 | | 2025 |
| Human Motion Prediction: From Deterministic to Stochastic W Mao PQDT-Global, 2022 | | 2022 |
| Learning trajectory dependencies for human motion prediction M Liu, M Salzmann, H Li, W Mao IEEE, Institute of Electrical and Electronics Engineers, 2019 | | 2019 |
| Motion Generalist: Multimodal Motion Generation Z Zhang, Y Wang, W Mao, D Li, A Zhao, B Wu, Z Song, B Zhuang, I Reid, ... | | |
| VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos——Supplementary Material—— H Gao, W Mao, M Liu | | |
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
