Pre-training has achieved remarkable success when transferred to downstr...
Adaptive gradient algorithms borrow the moving average idea of heavy bal...
A deep equilibrium model (DEQ) is implicitly defined through an equilibr...
Implicit equilibrium models, i.e., deep neural networks (DNNs) defined b...
While successful in many fields, deep neural networks (DNNs) still suffe...
Recently, a number of learning-based optimization methods that combine
d...
In this paper, we study the problem of matrix recovery, which aims to re...
In this paper, we propose a framework to reconstruct 3D models from raw
...