Generative Adversarial Networks (GANs), especially the recent style-base...
Deep neural networks for learning symmetric positive definite (SPD) matr...
Despite the significant recent progress in deep generative models, the
u...
Symmetric Positive Definite (SPD) matrices have received wide attention ...
Inserting an SVD meta-layer into neural networks is prone to make the
co...
The task of out-of-distribution (OOD) detection is crucial for deploying...
EigenDecomposition (ED) is at the heart of many computer vision algorith...
Inserting an SVD meta-layer into neural networks is prone to make the
co...
The Fine-Grained Visual Categorization (FGVC) is challenging because the...
User privacy is of great concern in Federated Learning, while Vision
Tra...
The development of personalized recommendation has significantly improve...
Salient object detection has been long studied to identify the most visu...
Computing the matrix square root and its inverse in a differentiable man...
Computing the matrix square root or its inverse in a differentiable mann...
Global covariance pooling (GCP) aims at exploiting the second-order
stat...