1 citations · 1 across the 3 of their papers we have counts for
4 papers
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency
Han Huang, Yulun Wu, Chao Deng +3
Recently, Gaussian Splatting has sparked a new trend in the field of computer vision. Apart from novel view synthesis, it has also been extended to the area of multi-view reconstru…
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
Yulun Wu, Han Huang, Wenyuan Zhang +4
In recent years, reconstructing indoor scene geometry from multi-view images has achieved encouraging accomplishments. Current methods incorporate monocular priors into neural impl…
A Geometric-Relational Deep Learning Framework for BIM Object Classification
Hairong Luo, Ge Gao, Han Huang +3
Interoperability issue is a significant problem in Building Information Modeling (BIM). Object type, as a kind of critical semantic information needed in multiple BIM applications…
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Han Liu, Zhizhong Han, Yu-Shen Liu +1
Low-rank metric learning aims to learn better discrimination of data subject to low-rank constraints. It keeps the intrinsic low-rank structure of datasets and reduces the time cos…