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 | 221 | 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 | 75 | 2018 |
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 | 70 | 2020 |
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 | 42 | 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 | 24 | 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 | 22 | 2022 |
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 | 18 | 2023 |
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 | 15 | 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 | 14 | 2022 |
Bidirectional propagation for cross-modal 3d object detection Y Zhang, Q Zhang, J Hou, Y Yuan, G Xing | 11 | 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 | 10 | 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 | 7 | 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 | 7 | 2023 |
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 |
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, 19485-19501, 2023 | 3 | 2023 |
Leveraging single-view images for unsupervised 3D point cloud completion L Wu, Q Zhang, J Hou, Y Xu IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
Flatten Anything: Unsupervised Neural Surface Parameterization Q Zhang, J Hou, W Wang, Y He arXiv preprint arXiv:2405.14633, 2024 | 2 | 2024 |
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 | 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 |
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images Y Tang, Q Zhang, J Hou, Y Liu arXiv preprint arXiv:2311.02892, 2023 | 1 | 2023 |