Search Results for author:
Found 5 papers, 1 papers with code
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
In recent years, there has been rapid development in 3D generation models, opening up new possibilities for applications such as simulating the dynamic movements of 3D objects and customizing their behaviors.
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
In this paper, we propose geometry-to-voxel auxiliary learning to enable voxel representations to access point-level geometric information, which supports better generalisation of the voxel-based backbone with additional interpretations of multi-sensor point clouds.
Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
This paper investigates the stochastic distributed nonconvex optimization problem of minimizing a global cost function formed by the summation of $n$ local cost functions.
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization
The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of $n$ local cost functions by using local information exchange is considered.
Optimization and Control
Extremal Region Analysis based Deep Learning Framework for Detecting Defects
A maximally stable extreme region (MSER) analysis based convolutional neural network (CNN) for unified defect detection framework is proposed in this paper.
