| Naruto: Neural active reconstruction from uncertain target observations Z Feng, H Zhan, Z Chen, Q Yan, X Xu, C Cai, B Li, Q Zhu, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Discrete Laplace operator estimation for dynamic 3D reconstruction X Xu, E Dunn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 16 | 2019 |
| ActiveGAMER: Active GAussian Mapping through Efficient Rendering L Chen, H Zhan, K Chen, X Xu, Q Yan, C Cai, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2025 | 10 | 2025 |
| Planarnerf: Online learning of planar primitives with neural radiance fields Z Chen, Q Yan, H Zhan, C Cai, X Xu, Y Huang, W Wang, Z Feng, L Liu, ... 2025 International Conference on Robotics and Automation (ICRA), 2025 | 8 | 2025 |
| CLIP-FLow: Contrastive learning by semi-supervised iterative pseudo labeling for optical flow estimation Z Zhang, N Bansal, C Cai, P Ji, Q Yan, X Xu, Y Xu arXiv preprint arXiv:2210.14383, 2022 | 6 | 2022 |
| GTT-Net: Learned generalized trajectory triangulation X Xu, E Dunn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Dynamic voxel grid optimization for high-fidelity rgb-d supervised surface reconstruction X Xu, C Cai, H Zhan, Q Yan, P Ji, J Yuan, Y Xu Computer Graphics International (CGI), 2025 | 3 | 2025 |
| DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization X Xu, L Guan, E Dunn, H Li, G Hua arXiv preprint arXiv:2212.04575, 2022 | 2 | 2022 |
| Methods and apparatus for optical flow estimation with contrastive learning Zhiqi ZHANG, Pan JI, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiangyu Xu ... WO Patent WO2024081455A1, 2024 | | 2024 |
| Generalized Dynamic 3D Reconstruction X Xu Stevens Institute of Technology, 2022 | | 2022 |
Yi XuGoertek Alpha LabsVerified email at goertekusa.com
