| Deep learning based point cloud registration: an overview Z Zhang, Y Dai, J Sun Virtual Reality & Intelligent Hardware 2 (3), 222-246, 2020 | 145 | 2020 |
| Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation J Sun, Y Dai, X Zhang, J Xu, R Ai, W Gu, X Chen Accepted by IROS22, arXiv preprint arXiv:2207.02201, 2022 | 59 | 2022 |
| Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis X Guo, G Chen, Y Dai, X Ye, J Sun, X Tan, E Ding Proceedings of the Asian Conference on Computer Vision (ACCV) arXiv preprint …, 2022 | 41 | 2022 |
| VRNet: Learning the rectified virtual corresponding points for 3D point cloud registration Z Zhang, J Sun, Y Dai, B Fan, M He IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 4997-5010, 2022 | 39 | 2022 |
| Forward Flow for Novel View Synthesis of Dynamic Scenes X Guo, J Sun, Y Dai, G Chen, X Ye, X Tan, E Ding, Y Zhang, J Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 26 | 2023 |
| Self-supervised rigid transformation equivariance for accurate 3D point cloud registration Z Zhang, J Sun, Y Dai, D Zhou, X Song, M He Pattern Recognition 130, 108784, 2022 | 24 | 2022 |
| MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion L Liu, X Song, J Sun, X Lyu, L Li, Y Liu, L Zhang IEEE Robotics and Automation Letters 8 (2), 920-927, 2023 | 22 | 2023 |
| End-to-end learning the partial permutation matrix for robust 3D point cloud registration Z Zhang, J Sun, Y Dai, D Zhou, X Song, M He Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3399-3407, 2022 | 22 | 2022 |
| Munet: Motion uncertainty-aware semi-supervised video object segmentation J Sun, Y Mao, Y Dai, Y Zhong, J Wang Pattern Recognition 138, 109399, 2023 | 16 | 2023 |
| Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Z Zhang, Y Dai, B Fan, J Sun, M He IEEE Transactions on Circuits and Systems for Video Technology 32 (12), 8462 …, 2022 | 11 | 2022 |
| Digging into Depth Priors for Outdoor Neural Radiance Fields C Wang, J Sun, L Liu, C Wu, Z Shen, D Wu, Y Dai, L Zhang Proceedings of the 31st ACM International Conference on Multimedia, 1221-1230, 2023 | 10 | 2023 |
| CU-Net: LiDAR Depth-Only Completion With Coupled U-Net Y Wang, Y Dai, Q Liu, P Yang, J Sun, B Li IEEE Robotics and Automation Letters 7 (4), 11476-11483, 2022 | 10 | 2022 |
| A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration Z Zhang, J Sun, Y Dai, D Zhou, X Song, M He IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 10 | 2021 |
| MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation C Wu, J Sun, Z Shen, L Zhang 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Searching Dense Point Correspondences via Permutation Matrix Learning Z Zhang, J Sun, Y Dai, B Fan, Q Liu IEEE Signal Processing Letters 29, 1192-1196, 2022 | 2 | 2022 |
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
