Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
Abstract: Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised ...
Abstract: The generation of 3D meshes is critical in numerous applications, evidenced by the growing popularity and attention towards interactive generative models. Although diffusion models currently ...
Strange structures up to 1,300 feet (around 400 metres) long have been discovered deep beneath the ice in Antarctica. The never-before-seen shapes were uncovered when a remotely operated vehicle (ROV) ...
Abstract: Accurate vascular segmentation is essential for coronary visualization and the diagnosis of coronary heart disease. This task involves the extraction of sparse tree-like vascular branches ...
Abstract: The goal of point cloud salient object detection is to identify and segment the most prominent areas or objects within a 3D point cloud. Research on point cloud SOD is still in its early ...
Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...
Abstract: In-depth understanding of 3D environments not only involves locating and recognizing individual objects but also requires inferring the relationships and interactions among them. However, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results