| Nested network with two-stream pyramid for salient object detection in optical remote sensing images C Li, R Cong, J Hou, S Zhang, Y Qian, S Kwong IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9156-9166, 2019 | 260 | 2019 |
| PUGeo-Net: A geometry-centric network for 3D point cloud upsampling Y Qian, J Hou, S Kwong, Y He European conference on computer vision, 752-769, 2020 | 147 | 2020 |
| Corrnet3d: Unsupervised end-to-end learning of dense correspondence for 3d point clouds Y Zeng, Y Qian, Z Zhu, J Hou, H Yuan, Y He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 91 | 2021 |
| Deep magnification-flexible upsampling over 3d point clouds Y Qian, J Hou, S Kwong, Y He IEEE Transactions on Image Processing 30, 8354-8367, 2021 | 61 | 2021 |
| Staggered discontinuous Galerkin methods for the incompressible Navier–Stokes equations SW Cheung, E Chung, HH Kim, Y Qian Journal of Computational Physics 302, 251-266, 2015 | 36 | 2015 |
| Flattening-net: Deep regular 2d representation for 3d point cloud analysis Q Zhang, J Hou, Y Qian, Y Zeng, J Zhang, Y He IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9726-9742, 2023 | 29 | 2023 |
| Mops-net: A matrix optimization-driven network fortask-oriented 3d point cloud downsampling Y Qian, J Hou, Q Zhang, Y Zeng, S Kwong, Y He arXiv preprint arXiv:2005.00383, 2020 | 28 | 2020 |
| WarpingGAN: Warping multiple uniform priors for adversarial 3D point cloud generation Y Tang, Y Qian, Q Zhang, Y Zeng, J Hou, X Zhe Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 26 | 2022 |
| Reggeonet: Learning regular representations for large-scale 3d point clouds Q Zhang, J Hou, Y Qian, AB Chan, J Zhang, Y He International Journal of Computer Vision 130 (12), 3100-3122, 2022 | 21 | 2022 |
| Idea-net: Dynamic 3d point cloud interpolation via deep embedding alignment Y Zeng, Y Qian, Q Zhang, J Hou, Y Yuan, Y He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Learning audio-driven viseme dynamics for 3d face animation L Bao, H Zhang, Y Qian, T Xue, C Chen, X Zhe, D Kang arXiv preprint arXiv:2301.06059, 2023 | 18 | 2023 |
| Pointmcd: Boosting deep point cloud encoders via multi-view cross-modal distillation for 3d shape recognition Q Zhang, J Hou, Y Qian IEEE Transactions on Multimedia, 2023 | 16 | 2023 |
| Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds R Zhu, D Kang, KH Hui, Y Qian, X Zhe, Z Dong, L Bao, PA Heng, CW Fu arXiv preprint arXiv:2206.06715, 2022 | 6 | 2022 |
| Task-Oriented Compact Representation of 3D Point Clouds via A Matrix Optimization-Driven Network Y Qian, J Hou, Q Zhang, Y Zeng, S Kwong, Y He IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6981 …, 2023 | 5 | 2023 |
| SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds R Zhu, D Kang, KH Hui, Y Qian, S Qiu, Z Dong, L Bao, PA Heng, CW Fu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| Multi-view vision-to-geometry knowledge transfer for 3d point cloud shape analysis Q Zhang, J Hou, Y Qian arXiv preprint arXiv:2207.03128, 2022 | 4 | 2022 |
| ParaNet: Deep regular representation for 3D point clouds Q Zhang, J Hou, Y Qian, J Zhang, Y He arXiv preprint arXiv:2012.03028, 2020 | 4 | 2020 |
| Deep magnification-arbitrary upsampling over 3d point clouds Y Qian, J Hou, S Kwong, Y He arXiv preprint arXiv:2011.12745, 2020 | 3 | 2020 |