| Spatial as Deep: Spatial CNN for Traffic Scene Understanding X Pan, J Shi, P Luo, X Wang, X Tang AAAI Conference on Artificial Intelligence, 2018 | 832 | 2018 |
| Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net X Pan, P Luo, J Shi, X Tang European Conference on Computer Vision, 2018 | 670 | 2018 |
| Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation X Pan, X Zhan, B Dai, D Lin, CC Loy, P Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 256 | 2021 |
| Open Compound Domain Adaptation Z Liu, Z Miao, X Pan, X Zhan, SX Yu, D Lin, B Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020 | 134 | 2020 |
| Self-Supervised Scene De-occlusion CCL Xiaohang Zhan, Xingang Pan, Dai Bo, Ziwei Liu, Lin Dahua IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020 | 114* | 2020 |
| BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering Y Xiangli, L Xu, X Pan, N Zhao, A Rao, C Theobalt, B Dai, D Lin European Conference on Computer Vision, 2022 | 100* | 2022 |
| Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs X Pan, B Dai, Z Liu, CC Loy, P Luo International Conference on Learning Representations, 2021 | 99 | 2021 |
| Switchable Whitening for Deep Representation Learning X Pan, X Zhan, J Shi, X Tang, P Luo IEEE/CVF International Conference on Computer Vision, 2019 | 89 | 2019 |
| Talk-To-Edit: Fine-Grained Facial Editing via Dialog Y Jiang, Z Huang, X Pan, CC Loy, Z Liu IEEE/CVF International Conference on Computer Vision, 2021 | 67 | 2021 |
| A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis X Pan, X Xu, CC Loy, C Theobalt, B Dai Neural Information Processing Systems, 2021 | 59 | 2021 |
| Generative Occupancy Fields for 3D Surface-Aware Image Synthesis X Xu, X Pan, D Lin, B Dai Neural Information Processing Systems, 2021 | 42 | 2021 |
| Self-Supervised Learning via Conditional Motion Propagation X Zhan, X Pan, Z Liu, D Lin, CC Loy IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 | 40 | 2019 |
| Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold X Pan, A Tewari, T Leimkühler, L Liu, A Meka, C Theobalt ACM SIGGRAPH 2023 Conference Proceedings, 2023 | 32 | 2023 |
| Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images A Tewari, X Pan, O Fried, M Agrawala, C Theobalt IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 31 | 2022 |
| Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction T Wu, J Wang, X Pan, X Xu, C Theobalt, Z Liu, D Lin International Conference on Learning Representations, 2023 | 24 | 2023 |
| Channel Equilibrium Networks for Learning Deep Representation W Shao, S Tang, X Pan, P Tan, X Wang, P Luo International Conference on Machine Learning, 2020 | 15 | 2020 |
| GAN2X: Non-Lambertian Inverse Rendering of Image GANs X Pan, A Tewari, L Liu, C Theobalt International Conference on 3D Vision, 2022 | 9 | 2022 |
| Grid-guided Neural Radiance Fields for Large Urban Scenes L Xu, Y Xiangli, S Peng, X Pan, N Zhao, C Theobalt, B Dai, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| HQ3DAvatar: High Quality Controllable 3D Head Avatar K Teotia, X Pan, H Kim, P Garrido, M Elgharib, C Theobalt arXiv preprint arXiv:2303.14471, 2023 | 2 | 2023 |
| Method and Device for Image Processing, and Computer Storage Medium X Pan, SHI Jianping, P Luo, X Tang US Patent 11,080,569, 2021 | 2 | 2021 |
Ping Luo (羅平)Associate Professor, The University of Hong Kong在 hku.hk 的电子邮件经过验证
