4 accepted papers
Recent 3D Gaussian Splatting (3DGS) methods have demonstrated the feasibility of self-driving scenes reconstruction and novel view synthesis. However, most existing methods either rely solely on cameras or use LiDAR only for Gaussian initialization or depth supervision, while the rich scene informat…
In this work, we propose *Natural Hypergradient Descent* (NHGD), a new method for solving bilevel optimization problems. To address the computational bottleneck in hypergradient estimation—namely, the need to compute or approximate Hessian inverses—we exploit the statistical structure of the inner o…
Maximizing the energy density of springs is a key consideration in designing spring-driven jumping robots. Inspired by the synergistic deformation mechanism of springtails, which involves the coupled action of rotational and bending deformations in their furcula, we created the TCS Jumper (Torsion s