| Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries Q Hu, X Wang, W Hu, GJ Qi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 159 | 2021 |
| Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection Q Hu, D Liu, W Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Dynamic point cloud denoising via manifold-to-manifold distance W Hu, Q Hu, Z Wang, X Gao IEEE Transactions on Image Processing 30, 6168-6183, 2021 | 25 | 2021 |
| Exploring the devil in graph spectral domain for 3d point cloud attacks Q Hu, D Liu, W Hu European Conference on Computer Vision, 229-248, 2022 | 24 | 2022 |
| Dynamic Point Cloud Denoising via Gradient Fields Q Hu, W Hu arXiv preprint arXiv:2204.08755, 2022 | 1 | 2022 |
| Robust Graph-Based Segmentation of Noisy Point Clouds P Li, X Gao, Q Hu, W Hu 2023 IEEE International Conference on Image Processing (ICIP), 3090-3094, 2023 | | 2023 |
| Supplementary Material for “Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection” Q Hu, D Liu, W Hu | | |
