21 citations · 23 across the 5 of their papers we have counts for
6 papers
MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos
Hongyi Zhou, Yulan Guo, Xiaogang Wang +1
Accurately analyzing the motion parts and their motion attributes in dynamic environments is crucial for advancing key areas such as embodied intelligence. Addressing the limitatio…
OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
Yijie Tang, Jiazhao Zhang, Yuqing Lan +4
Online zero-shot 3D instance segmentation of a progressively reconstructed scene is both a critical and challenging task for embodied applications. With the success of visual found…
Progressive Correspondence Regenerator for Robust 3D Registration
Guiyu Zhao, Sheng Ao, Ye Zhang +2
Obtaining enough high-quality correspondences is crucial for robust registration. Existing correspondence refinement methods mostly follow the paradigm of outlier removal, which ei…
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
Minhao Li, Zheng Qin, Zhirui Gao +4
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature d…
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Junhua Xi, Yifei Shi, Yijie Wang +2
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of ou…
Geometric Transformer for Fast and Robust Point Cloud Registration
Zheng Qin, Hao Yu, Changjian Wang +3
We study the problem of extracting accurate correspondences for point cloud registration. Recent keypoint-free methods bypass the detection of repeatable keypoints which is difficu…