25 citations · 65 across the 27 of their papers we have counts for
27 papers
RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
Hongbo Chen, Yuchong Gao, Shuhang Zhang +3
The reconstruction of high-quality shape geometry is crucial for developing freehand 3D ultrasound imaging. However, the shape reconstruction of multi-view ultrasound data remains…
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Chaofan Huo, Ye Shi, Yuexin Ma +3
Modeling and capturing the 3D spatial arrangement of the human and the object is the key to perceiving 3D human-object interaction from monocular images. In this work, we propose t…
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation
Cheng Shi, Yulin Zhang, Bin Yang +3
Unsupervised 3D instance segmentation aims to segment objects from a 3D point cloud without any annotations. Existing methods face the challenge of either too loose or too tight cl…
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
Yiming Ren, Xiao Han, Yichen Yao +3
LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely…
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
Xiaopei Wu, Yuenan Hou, Xiaoshui Huang +8
Training deep models for LiDAR semantic segmentation is challenging due to the inherent sparsity of point clouds. Utilizing temporal data is a natural remedy against the sparsity p…
A Unified Framework for Human-centric Point Cloud Video Understanding
Yiteng Xu, Kecheng Ye, Xiao Han +3
Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further…