Abstract: Neural signed distance functions (SDFs) have shown remarkable capability in representing geometry with details. However, without signed distance supervision, it is still a challenge to infer ...

Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based ...

Normal estimation for 3D point clouds is a fundamental task in 3D geometry processing. The state-of-the-art methods rely on priors of fitting local surfaces learned from normal supervision. However, ...

Input a formula beginning with "NCDK_", "RDKit_", or "OPSIN_" in the Excel cell like the followings.

Enzymes help with specific functions that are vital to the operation and overall health of the human body. They help speed up chemical reactions and are essential for respiration, digestion, muscle ...

The knowledge of hydraulic parameters in water distribution networks can indicate problems in real time, such as pipe bursts, small leakages, increase in pipe roughness and illegal connections.