5 accepted papers
Feature lifting has emerged as a crucial component in 3D scene understanding, enabling the attachment of rich image feature descriptors (e.g., DINO, CLIP) onto splat-based 3D representations. The core challenge lies in optimally assigning rich general attributes to 3D primitives while addressing the…
We introduce Universal Beta Splatting (UBS), a unified framework that generalizes 3D Gaussian Splatting to N-dimensional anisotropic Beta kernels for explicit radiance field rendering. Unlike fixed Gaussian primitives, Beta kernels enable controllable dependency modeling across spatial, angular, and…
In robotic surgery, instrument presence labels are typically recorded alongside video streams, offering a cost-effective alternative to manual annotations for segmentation tasks. Label-supervised surgical instrument segmentation (SIS), a weakly supervised segmentation setting where only instrument p
Large language models (LLMs) have demonstrated notable potential in conducting complex tasks and are increasingly utilized in various financial applications. However, high-quality sequential financial investment decision-making remains challenging. These tasks require multiple interactions with a vo…
Inspired by geckos, we built a new configuration for climbing robot, the GPL model with one passive waist and four active axil legs. In this paper, further research was made to analysis its motion. We found the anomalies line between supporting feet and its effect on robot motion. A step further, th…