| Deep subspace clustering networks P Ji, T Zhang, H Li, M Salzmann, I Reid NeurIPS 2017: Conference on Neural Information Processing Systems (NeurIPS …, 2017 | 771 | 2017 |
| Incremental Learning Using Conditional Adversarial Networks Y Xiang, Y Fu, P Ji, H Huang ICCV 2019: International Conference on Computer Vision (ICCV), 2019 | 244 | 2019 |
| Invertible denoising network: A light solution for real noise removal Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 222 | 2021 |
| Efficient dense subspace clustering P Ji, M Salzmann, H Li WACV 2014: IEEE Winter Conference on Applications of Computer Vision, 2014 | 221 | 2014 |
| Fusing higher-order features in graph neural networks for skeleton-based action recognition Z Qin, Y Liu, P Ji, D Kim, L Wang, RI McKay, S Anwar, T Gedeon IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4783-4797, 2022 | 134 | 2022 |
| Monoindoor: Towards good practice of self-supervised monocular depth estimation for indoor environments P Ji, R Li, B Bhanu, Y Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 112 | 2021 |
| Fast stereo matching using adaptive guided filtering Q Yang, P Ji, D Li, S Yao, M Zhang Image and Vision Computing 32 (3), 202-211, 2014 | 107 | 2014 |
| Learning monocular visual odometry via self-supervised long-term modeling Y Zou, P Ji, QH Tran, JB Huang, M Chandraker ECCV 2020: European Conference on Computer Vision, 2020 | 105 | 2020 |
| Noise-aware unsupervised deep lidar-stereo fusion X Cheng(*), Y Zhong(*), Y Dai, P Ji, H Li CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 101 | 2019 |
| Displacement-invariant matching cost learning for accurate optical flow estimation J Wang, Y Zhong, Y Dai, K Zhang, P Ji, H Li NeurIPS 2020: Conference on Neural Information Processing Systems (NeurIPS), 2020 | 98 | 2020 |
| Neural collaborative subspace clustering T Zhang, P Ji(*), M Harandi, W Huang, H Li ICML 2019: International Conference on Machine Learning (ICML), 2019 | 97 | 2019 |
| Shape interaction matrix revisited and robustified: Efficient subspace clustering with corrupted and incomplete data P Ji, M Salzmann, H Li ICCV 2015: Proceedings of the IEEE International Conference on Computer …, 2015 | 93 | 2015 |
| Unsupervised deep epipolar flow for stationary or dynamic scenes Y Zhong, P Ji, J Wang, Y Dai, H Li CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 89 | 2019 |
| Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction L Tiwari, P Ji, QH Tran, B Zhuang, S Anand, M Chandraker ECCV 2020: European Conference on Computer Vision, 2020 | 82 | 2020 |
| Learning structure-and-motion-aware rolling shutter correction B Zhuang, QH Tran, P Ji, LF Cheong, M Chandraker CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 70 | 2019 |
| Consistnet: Enforcing 3d consistency for multi-view images diffusion J Yang, Z Cheng, Y Duan, P Ji, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 69 | 2024 |
| Blockfusion: Expandable 3d scene generation using latent tri-plane extrapolation Z Wu, Y Li, H Yan, T Shang, W Sun, S Wang, R Cui, W Liu, H Sato, H Li, ... ACM Transactions on Graphics (ToG) 43 (4), 1-17, 2024 | 64 | 2024 |
| Planemvs: 3d plane reconstruction from multi-view stereo J Liu, P Ji, N Bansal, C Cai, Q Yan, X Huang, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| Cross-Modality 3D Object Detection M Zhu, C Ma, P Ji, X Yang WACV 2020: IEEE Winter Conference on Applications of Computer Vision, 2020 | 61 | 2020 |
| Scalable deep k-subspace clustering T Zhang, P Ji, M Harandi, R Hartley, I Reid ACCV 2018: Asian Conference on Computer Vision (ACCV), 2018 | 55 | 2018 |
Hongdong LiProfessor of Computer Vision and Machine Learning, ANU, and Amazon IMLVerified email at anu.edu.au
