IEEE

Semantic Graph Embedded Energy Minimization Learning for Scene Graph Generation

Abstract: The performance of current scene graph generation models is affected by training with cross-entropy loss, exacerbating the problem of prediction bias stemming from biased training data.
IEEE

Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-Resolving SAR Tomography

Abstract: Finding sparse solutions of underdetermined linear systems commonly requires the solving of $L_{1}$ regularized least-squares minimization problem, which is ...
GitHub

Majorization Minimization Methods for Distributed Pose Graph Optimization

Official implementation of Majorization Minimization Methods for Distributed Pose Graph Optimization. Taosha Fan and Todd Murphey. In IEEE Transactions on Robotics (T-RO), 2024. We consider the ...
Frontiers

Equilibrium path and stability analysis of rigid origami using energy minimization of frame model

This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines ...
GitHub

SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning

This is the official PyTorch implementation of SPARC from the paper "SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning" Paper. SPARC is a novel graph learning framework ...