| Uncertainty estimation for stereo matching based on evidential deep learning C Wang, X Wang, J Zhang, L Zhang, X Bai, X Ning, J Zhou, E Hancock pattern recognition 124, 108498, 2022 | 166 | 2022 |
| Revisiting domain generalized stereo matching networks from a feature consistency perspective J Zhang, X Wang, X Bai, C Wang, L Huang, Y Chen, L Gu, J Zhou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 76 | 2022 |
| Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization J Li, J Zhang, X Bai, J Zheng, X Ning, J Zhou, L Gu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 69 | 2024 |
| Efficient region-aware neural radiance fields for high-fidelity talking portrait synthesis J Li, J Zhang, X Bai, J Zhou, L Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 56 | 2023 |
| CoR-GS: sparse-view 3D Gaussian splatting via co-regularization J Zhang, J Li, X Yu, L Huang, L Gu, J Zheng, X Bai European Conference on Computer Vision, 335-352, 2024 | 12 | 2024 |
| Talkinggaussian: Structure-persistent 3d talking head synthesis via gaussian splatting J Li, J Zhang, X Bai, J Zheng, X Ning, J Zhou, L Gu European Conference on Computer Vision, 127-145, 2024 | 12 | 2024 |
| Robust Synthetic-to-Real Transfer for Stereo Matching J Zhang, J Li, L Huang, X Yu, L Gu, J Zheng, X Bai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis J Li, J Zhang, X Bai, J Zheng, J Zhou, L Gu Information Fusion 110, 102456, 2024 | 6 | 2024 |
| Exploring the Usage of Pre-trained Features for Stereo Matching J Zhang, L Huang, X Bai, J Zheng, L Gu, E Hancock International Journal of Computer Vision, 1-22, 2024 | 2 | 2024 |
Xiao BaiProfessor of Computer Science, Beihang UniversityBestätigte E-Mail-Adresse bei buaa.edu.cn