| Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance R Li, D Xue, S Su, X He, Q Mao, Y Zhu, J Sun, Y Zhang Pattern Recognition 137, 109297, 2023 | 22* | 2023 |
| Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance R Li, D Xue, S Su, X He, Q Mao, Y Zhu, J Sun, Y Zhang Pattern Recognition 137, 109297, 2023 | 18 | 2023 |
| ARSAC: Efficient Model Estimation via Adaptively Ranked Sample Consensus R Li, J Sun, D Gong, Y Zhu, H Li, Y Zhang Neurocomputing 328, 88-96, 2019 | 17 | 2019 |
| Non-uniform Motion Deblurring with Blurry Component Divided Guidance P Wang, W Sun, Q Yan, A Niu, R Li, Y Zhu, J Sun, Y Zhang Pattern Recognition 120, 108082, 2021 | 15 | 2021 |
| Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes R Li, D Gong, W Yin, H Chen, Y Zhu, K Wang, X Chen, J Sun, Y Zhang Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 14 | 2023 |
| Enhancing Self-supervised Monocular Depth Estimation via Incorporating Robust Constraints R Li, X He, Y Zhu, X Li, J Sun, Y Zhang Proceedings of the 28th ACM international conference on multimedia, 3108-3117, 2020 | 14 | 2020 |
| Self-supervised Monocular Depth Estimation with Frequency-based Recurrent Refinement R Li, D Xue, Y Zhu, H Wu, J Sun, Y Zhang IEEE Transactions on Multimedia, 2022 | 10 | 2022 |
| Blind Image Deblurring by Promoting Group Sparsity D Gong, R Li, Y Zhu, H Li, J Sun, Y Zhang Neurocomputing 310, 190-200, 2018 | 9 | 2018 |
| Semantic-guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation R Li, Q Mao, P Wang, X He, Y Zhu, J Sun, Y Zhang arXiv preprint arXiv:2012.08048, 2020 | 5 | 2020 |
| Robust and Accurate Hybrid Structure-from-Motion R Li, D Gong, J Sun, Y Zhu, Z Wei, Y Zhang 2019 IEEE International Conference on Image Processing (ICIP), 494-498, 2019 | 4 | 2019 |
| Enhancing 3D-2D Representations for Convolution Occupancy Networks Q Mao, R Li, Y Zhu, J Sun, Y Zhang Pattern Recognition 134, 109097, 2023 | 2 | 2023 |
| The Third Monocular Depth Estimation Challenge J Spencer, F Tosi, M Poggi, RS Arora, C Russell, S Hadfield, R Bowden, ... arXiv preprint arXiv:2404.16831, 2024 | 1 | 2024 |
| Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning R Li, T Fischer, M Segu, M Pollefeys, L Van Gool, F Tombari Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 1 | 2024 |
| Boosting multi-view stereo with late cost aggregation J Wu, R Li, Y Zhu, W Zhao, J Sun, Y Zhang arXiv preprint arXiv:2401.11751, 2024 | 1 | 2024 |
| GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo J Wu*, R Li*, H Xu, W Zhao, Y Zhu, J Sun, Y Zhang Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | | 2024 |
| Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios J Xu, X Liu, J Jiang, K Jiang, R Li, K Cheng, X Ji arXiv preprint arXiv:2402.11826, 2024 | | 2024 |
| ARSAC: Robust Model Estimation via Adaptively Ranked Sample Consensus R Li, J Sun, Y Zhu, H Li, Y Zhang Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | | 2017 |
| Supplementary Material for: GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo J Wu, R Li, H Xu, WZY Zhu, J Sun, Y Zhang | | |
Dong GongUniversity of New South Wales (UNSW)在 unsw.edu.au 的电子邮件经过验证
