| Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction H Zhan, R Garg, C Saroj Weerasekera, K Li, H Agarwal, I Reid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 774 | 2018 |
| MVDream: Multi-view Diffusion for 3D Generation Y Shi, P Wang, J Ye, M Long, K Li, X Yang arXiv preprint arXiv:2308.16512, 2023 | 439 | 2023 |
| Nope-nerf: Optimising neural radiance field with no pose prior W Bian, Z Wang, K Li, JW Bian, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 190 | 2023 |
| Real-time monocular object-model aware sparse SLAM M Hosseinzadeh, K Li, Y Latif, I Reid 2019 International Conference on Robotics and Automation (ICRA), 7123-7129, 2019 | 93 | 2019 |
| FroDO: From Detections to 3D Objects M Rünz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 84* | 2020 |
| Object-compositional neural implicit surfaces Q Wu, X Liu, Y Chen, K Li, C Zheng, J Cai, J Zheng European Conference on Computer Vision, 197-213, 2022 | 77 | 2022 |
| Consistent-1-to-3: Consistent image to 3d view synthesis via geometry-aware diffusion models J Ye, P Wang, K Li, Y Shi, H Wang 2024 International Conference on 3D Vision (3DV), 664-674, 2024 | 50 | 2024 |
| 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 |
| BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion K Li, Y Tang, VA Prisacariu, PHS Torr Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| ODAM: Object Detection, Association, and Mapping using Posed RGB Video K Li, D DeTone, YFS Chen, M Vo, I Reid, H Rezatofighi, C Sweeney, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 32 | 2021 |
| MOLTR: Multiple Object Localization, Tracking and Reconstruction From Monocular RGB Videos K Li, H Rezatofighi, I Reid IEEE Robotics and Automation Letters 6 (2), 3341-3348, 2021 | 29 | 2021 |
| Objectsdf++: Improved object-compositional neural implicit surfaces Q Wu, K Wang, K Li, J Zheng, J Cai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Optimizable object reconstruction from a single view K Li, R Garg, M Cai, I Reid arXiv preprint arXiv:1811.11921 3, 2018 | 24* | 2018 |
| Neural Refinement for Absolute Pose Regression with Feature Synthesis S Chen, Y Bhalgat, X Li, JW Bian, K Li, Z Wang, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17* | 2024 |
| 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 International Conference on Computer Vision …, 2019 | 15 | 2019 |
| MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices K Li, JW Bian, R Castle, PHS Torr, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image W Bian, Z Wang, K Li, VA Prisacariu arXiv preprint arXiv:2107.01899, 2021 | 10 | 2021 |
| RoDyn-SLAM: Robust Dynamic Dense RGB-D SLAM with Neural Radiance Fields H Jiang, Y Xu, K Li, J Feng, L Zhang IEEE Robotics and Automation Letters, 2024 | 4 | 2024 |
| Physically Plausible 3D Human-Scene Reconstruction From Monocular RGB Image Using an Adversarial Learning Approach S Biswas, K Li, B Banerjee, S Chaudhuri, H Rezatofighi IEEE Robotics and Automation Letters, 2023 | 4 | 2023 |
| Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation S Kim, Y Shi, K Li, M Cho, P Wang arXiv preprint arXiv:2404.17419, 2024 | 1 | 2024 |
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of Adelaideadelaide.edu.au의 이메일 확인됨
