| DeepIM: Deep Iterative Matching for 6D Pose Estimation Y Li, G Wang, X Ji, Y Xiang, D Fox International Journal of Computer Vision 128 (3), 657–678, 2020 | 841 | 2020 |
| CDPN: Coordinates-based Disentangled Pose Network for Real-Time RGB-based 6-DoF Object Pose Estimation Z Li, G Wang, X Ji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 494 | 2019 |
| GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation G Wang, F Manhardt, F Tombari, X Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 415 | 2021 |
| Self6D: Self-Supervised Monocular 6D Object Pose Estimation G Wang, F Manhardt, J Shao, X Ji, N Navab, F Tombari European Conference on Computer Vision, 108-125, 2020 | 155 | 2020 |
| So-pose: Exploiting self-occlusion for direct 6d pose estimation Y Di, F Manhardt, G Wang, X Ji, N Navab, F Tombari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 141 | 2021 |
| Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects M Sundermeyer, T Hodaň, Y Labbe, G Wang, E Brachmann, B Drost, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 70 | 2023 |
| CPS++: Improving Class-level 6D Pose and Shape Estimation from Monocular Images with Self-Supervised Learning F Manhardt, G Wang, B Busam, M Nickel, S Meier, L Minciullo, X Ji, ... arXiv preprint arXiv:2003.05848, 2020 | 57 | 2020 |
| Occlusion-aware self-supervised monocular 6D object pose estimation G Wang, F Manhardt, X Liu, X Ji, F Tombari IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1788-1803, 2024 | 56 | 2024 |
| PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation J Shao, Y Jiang, G Wang, Z Li, X Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 43 | 2020 |
| Catre: Iterative point clouds alignment for category-level object pose refinement X Liu, G Wang, Y Li, X Ji European Conference on Computer Vision, 499-516, 2022 | 34 | 2022 |
| BOP Challenge 2023 on Detection Segmentation and Pose Estimation of Seen and Unseen Rigid Objects T Hodan, M Sundermeyer, Y Labbe, VN Nguyen, G Wang, E Brachmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 30 | 2024 |
| Action Recognition with Joint Attention on Multi-level Deep Features J Wu, G Wang, W Yang, X Ji arXiv preprint arXiv:1607.02556, 2016 | 21 | 2016 |
| Gdrnpp X Liu, R Zhang, C Zhang, B Fu, J Tang, X Liang, J Tang, X Cheng, ... | 20 | 2022 |
| MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-aware Supervision C Zhang, G Jiao, Y Di, G Wang, Z Huang, R Zhang, F Manhardt, B Fu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation R Zhang, Z Huang, G Wang, C Zhang, Y Di, X Zuo, J Tang, X Ji ECCV, 2024 | 1 | 2024 |
| GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024 X Liu, Y Li, C Li, G Wang, C Zhang, Z Huang, X Ji arXiv preprint arXiv:2412.01552, 2024 | | 2024 |
| UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image X Liu, G Wang, R Zhang, C Zhang, F Tombari, X Ji arXiv preprint arXiv:2411.16106, 2024 | | 2024 |
| UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images Z Chen, J Tang, G Wang, S Li, X Li, X Ji, X Li IROS, 2024 | | 2024 |
| FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation J Tang, G Wang, Z Chen, S Li, X Li, X Ji ECCV, 2024 | | 2024 |
| D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction FT Bowen Fu, Gu Wang, Chenyangguang Zhang, Yan Di, Ziqin Huang, Zhiying Leng ... ECCV, 2024 | | 2024 |
Fabian ManhardtGoogleVerified email at tum.de
