7 citations · 29 across the 14 of their papers we have counts for
5 papers · 1 filter
Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Images
Ancheng Lin, Tianqing Su, Zuo Yuan +3
Jointly recovering explicit surface geometry and high-quality appearance from multi-view images remains challenging. This capability is essential for maintaining high-fidelity real…
Dynamic Appearance Particle Neural Radiance Field
Ancheng Lin, Yusheng Xiang, Jun Li +1
Neural Radiance Fields (NeRFs) have shown great potential in modeling 3D scenes. Dynamic NeRFs extend this model by capturing time-varying elements, typically using deformation fie…
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
Ancheng Lin, Jun Li, Yusheng Xiang +2
High-quality surface normal can help improve geometry estimation in problems faced by autonomous vehicles, such as collision avoidance and occlusion inference. While a considerable…
A Short Review on Data Modelling for Vector Fields
Jun Li, Wanrong Hong, Yusheng Xiang
Machine learning methods based on statistical principles have proven highly successful in dealing with a wide variety of data analysis and analytics tasks. Traditional data models…
KIT MOMA: A Mobile Machines Dataset
Yusheng Xiang, Hongzhe Wang, Tianqing Su +4
Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology. However, vigorously thriving development and innovation are happ…