Gspn: Generative shape proposal network for 3d instance segmentation in point cloud L Yi, W Zhao, H Wang, M Sung, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 336 | 2019 |
Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo Y Wei, S Liu, Y Rao, W Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 213 | 2021 |
Towards better generalization: Joint depth-pose learning without posenet W Zhao, S Liu, Y Shu, YJ Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 163 | 2020 |
View planning in robot active vision: A survey of systems, algorithms, and applications R Zeng, Y Wen, W Zhao, YJ Liu Computational Visual Media 6, 225-245, 2020 | 73 | 2020 |
PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning R Zeng, W Zhao, YJ Liu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 41 | 2020 |
Gan-based multi-style photo cartoonization Y Shu, R Yi, M Xia, Z Ye, W Zhao, Y Chen, YK Lai, YJ Liu IEEE Transactions on Visualization and computer graphics 28 (10), 3376-3390, 2021 | 30 | 2021 |
Conditional single-view shape generation for multi-view stereo reconstruction Y Wei, S Liu, W Zhao, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
Deep reinforcement learning for robot collision avoidance with self-state-attention and sensor fusion Y Han, IH Zhan, W Zhao, J Pan, Z Zhang, Y Wang, YJ Liu IEEE Robotics and Automation Letters 7 (3), 6886-6893, 2022 | 27 | 2022 |
Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild W Zhao, S Liu, H Guo, W Wang, YJ Liu European Conference on Computer Vision, 523-542, 2022 | 16 | 2022 |
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo W Zhao, S Liu, Y Wei, H Guo, YJ Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 12 | 2021 |
TBench: Benchmarking Current Progress in Text-to-3D Generation Y He, Y Bai, M Lin, W Zhao, Y Hu, J Sheng, R Yi, J Li, YJ Liu arXiv preprint arXiv:2310.02977, 2023 | 9 | 2023 |
A configuration-space decomposition scheme for learning-based collision checking Y Han, W Zhao, J Pan, Z Ye, R Yi, YJ Liu arXiv preprint arXiv:1911.08581, 2019 | 8 | 2019 |
Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo. In 2021 IEEE Y Wei, S Liu, Y Rao, W Zhao, J Lu, J Zhou CVF International Conference on Computer Vision, ICCV, 10-17, 2021 | 7 | 2021 |
A double branch next-best-view network and novel robot system for active object reconstruction Y Han, IH Zhan, W Zhao, YJ Liu 2022 International Conference on Robotics and Automation (ICRA), 7306-7312, 2022 | 6 | 2022 |
Feature-aware uniform tessellations on video manifold for content-sensitive supervoxels R Yi, Z Ye, W Zhao, M Yu, YK Lai, YJ Liu IEEE transactions on pattern analysis and machine intelligence 43 (9), 3183-3195, 2020 | 5 | 2020 |
Configuration Space Decomposition for Learning-based Collision Checking in High-DOF Robots Y Han, W Zhao, J Pan, YJ Liu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 5 | 2020 |
DarkFeat: noise-robust feature detector and descriptor for extremely low-light RAW images Y He, Y Hu, W Zhao, J Li, YJ Liu, Y Han, J Wen Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 826-834, 2023 | 2 | 2023 |
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement S Ye, Y Hu, M Lin, YH Wen, W Zhao, W Wang, YJ Liu arXiv preprint arXiv:2309.07640, 2023 | 1 | 2023 |
O^ 2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model Y Hu, S Ye, W Zhao, M Lin, Y He, YH Wen, Y He, YJ Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2285-2293, 2024 | | 2024 |
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending Y He, P Wang, Y Hu, W Zhao, R Yi, YJ Liu, W Wang arXiv preprint arXiv:2310.00249, 2023 | | 2023 |