| Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction H Zhan, R Garg, CS Weerasekera, K Li, H Agarwal, I Reid Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 782 | 2018 |
| Unsupervised Scale-consistent Depth Learning from Video JW Bian, H Zhan, N Wang, Z Li, L Zhang, C Shen, MM Cheng, I Reid International Journal of Computer Vision 129, 2548–2564, 2021 | 741* | 2021 |
| Visual odometry revisited: What should be learnt? H Zhan, CS Weerasekera, JW Bian, I Reid 2020 IEEE International Conference on Robotics and Automation (ICRA), 4203-4210, 2020 | 219 | 2020 |
| Auto-Rectify Network for Unsupervised Indoor Depth Estimation JW Bian, H Zhan, N Wang, TJ Chin, C Shen, I Reid IEEE transactions on pattern analysis and machine intelligence, 2021 | 106* | 2021 |
| SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes L Sun, JW Bian, H Zhan, W Yin, I Reid, C Shen IEEE transactions on pattern analysis and machine intelligence, 2023 | 59 | 2023 |
| Deep learning for 2D scan matching and loop closure J Li*, H Zhan*, BM Chen, I Reid, GH Lee 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 53 | 2017 |
| Efficient dense point cloud object reconstruction using deformation vector fields K Li, T Pham, H Zhan, I Reid Proceedings of the European Conference on Computer Vision (ECCV), 497-513, 2018 | 45 | 2018 |
| DF-VO: What Should Be Learnt for Visual Odometry? H Zhan, CS Weerasekera, JW Bian, R Garg, I Reid arXiv preprint arXiv:2103.00933, 2021 | 43 | 2021 |
| ActiveRMAP: Radiance Field for Active Mapping And Planning H Zhan, J Zheng, Y Xu, I Reid, H Rezatofighi arXiv preprint arXiv:2211.12656, 2022 | 38 | 2022 |
| Self-supervised learning for single view depth and surface normal estimation H Zhan, CS Weerasekera, R Garg, I Reid 2019 International Conference on Robotics and Automation (ICRA), 4811-4817, 2019 | 37 | 2019 |
| Camera relocalization by exploiting multi-view constraints for scene coordinates regression M Cai, H Zhan, C Saroj Weerasekera, K Li, I Reid Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 15 | 2019 |
| Naruto: Neural active reconstruction from uncertain target observations Z Feng*, H Zhan*, Z Chen, Q Yan, X Xu, C Cai, B Li, Q Zhu, Y Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields Z Chen, Q Yan, H Zhan, C Cai, X Xu, Y Huang, W Wang, Z Feng, L Liu, ... arXiv preprint arXiv:2401.00871, 2023 | 3 | 2023 |
| NVSS: High-quality Novel View Selfie Synthesis JW Bian*, H Zhan*, I Reid 2021 International Conference on 3D Vision (3DV), 1085-1094, 2021 | 3 | 2021 |
| Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction X Xu, L Chen, C Cai, H Zhan, Q Yan, P Ji, J Yuan, H Huang, Y Xu arXiv preprint arXiv:2304.06178, 2023 | 2 | 2023 |
| ActiveGAMER: Active GAussian Mapping through Efficient Rendering L Chen, H Zhan, K Chen, X Xu, Q Yan, C Cai, Y Xu arXiv preprint arXiv:2501.06897, 2025 | | 2025 |
| Predicting Topological Maps for Visual Navigation in Unexplored Environments H Zhan, H Rezatofighi, I Reid arXiv preprint arXiv:2211.12649, 2022 | | 2022 |
| What Images are More Memorable to Machines? J Han, H Zhan, J Hong, P Fang, H Li, L Petersson, I Reid arXiv preprint arXiv:2211.07625, 2022 | | 2022 |
| Self-Supervised Learning for Geometry H Zhan | | 2020 |
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideE-mail megerősítve itt: adelaide.edu.au