| Dense attention fluid network for salient object detection in optical remote sensing images Q Zhang, R Cong, C Li, MM Cheng, Y Fang, X Cao, Y Zhao, S Kwong IEEE Transactions on Image Processing 30, 1305-1317, 2020 | 193 | 2020 |
| CoADNet: Collaborative aggregation-and-distribution networks for co-salient object detection Q Zhang, R Cong, J Hou, C Li, Y Zhao Advances in neural information processing systems 33, 6959-6970, 2020 | 66 | 2020 |
| Airport extraction via complementary saliency analysis and saliency-oriented active contour model Q Zhang, L Zhang, W Shi, Y Liu IEEE Geoscience and Remote Sensing Letters 15 (7), 1085-1089, 2018 | 63 | 2018 |
| Glenet: Boosting 3d object detectors with generative label uncertainty estimation Y Zhang, Q Zhang, Z Zhu, J Hou, Y Yuan International Journal of Computer Vision 131 (12), 3332-3352, 2023 | 27 | 2023 |
| 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 | 19 | 2022 |
| 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 | 19 | 2020 |
| 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, 2023 | 11 | 2023 |
| Bidirectional propagation for cross-modal 3d object detection Y Zhang, Q Zhang, J Hou, Y Yuan, G Xing | 10 | 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 | 10 | 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 | 9 | 2022 |
| 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 | 6 | 2023 |
| Unleash the potential of image branch for cross-modal 3d object detection Y Zhang, Q Zhang, J Hou, Y Yuan, G Xing Advances in Neural Information Processing Systems 36, 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 | 3 | 2022 |
| NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries Q Zhang, J Hou, Y Adikusuma, W Wang, Y He Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Pointvst: Self-supervised pre-training for 3d point clouds via view-specific point-to-image translation Q Zhang, J Hou IEEE Transactions on Visualization and Computer Graphics, 2023 | 2 | 2023 |
| ParaNet: Deep regular representation for 3D point clouds Q Zhang, J Hou, Y Qian, J Zhang, Y He arXiv preprint arXiv:2012.03028, 2020 | 2 | 2020 |
| Leveraging single-view images for unsupervised 3D point cloud completion L Wu, Q Zhang, J Hou, Y Xu arXiv preprint arXiv:2212.00564, 2022 | 1 | 2022 |
| Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation. Q Zhang, J Hou arXiv preprint arXiv:2212.14197, 2022 | 1 | 2022 |
| Integrating sparse reconstruction saliency and target-aware active contour model for airport extraction Q Zhang, W Shi, L Zhang, Y Liu 2018 25th IEEE International Conference on Image Processing (ICIP), 3059-3063, 2018 | 1 | 2018 |
| ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Clouds Q Zhang, J Hou, Y He arXiv preprint arXiv:2403.10349, 2024 | | 2024 |
Junhui HouDepartment of Computer Science, City University of Hong KongПотвърден имейл адрес: cityu.edu.hk
