7 citations · 7 across the 4 of their papers we have counts for
4 papers
Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond
Fangzhou Lin, Songlin Hou, Haotian Liu +4
Chamfer Distance (CD) is widely used as a metric to quantify difference between two point clouds. In point cloud completion, Chamfer Distance (CD) is typically used as a loss funct…
SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework
Fangzhou Lin, Shang Gao, Yichuan Tang +6
Spectroscopic photoacoustic (sPA) imaging uses multiple wavelengths to differentiate chromophores based on their unique optical absorption spectra. This technique has been widely a…
Deep Loss Convexification for Learning Iterative Models
Ziming Zhang, Yuping Shao, Yiqing Zhang +3
Iterative methods such as iterative closest point (ICP) for point cloud registration often suffer from bad local optimality (e.g. saddle points), due to the nature of nonconvex opt…
Hyperbolic Contrastive Learning
Yun Yue, Fangzhou Lin, Kazunori D Yamada +1
Learning good image representations that are beneficial to downstream tasks is a challenging task in computer vision. As such, a wide variety of self-supervised learning approaches…