Estimating parameters from data is a fundamental problem in physics,
cus...
Domain generalization aims to solve the challenge of Out-of-Distribution...
Massive amounts of data are the foundation of data-driven recommendation...
The problem of covariate-shift generalization has attracted intensive
re...
Video copy localization aims to precisely localize all the copied segmen...
Current lane detection methods are struggling with the invisibility lane...
3D scene stylization aims at generating stylized images of the scene fro...
Despite the remarkable performance that modern deep neural networks have...
In spite of the tremendous development of recommender system owing to th...
Classic machine learning methods are built on the i.i.d. assumption that...
Differential dynamic microscopy (DDM) is a form of video image analysis ...
Approaches based on deep neural networks have achieved striking performa...
To enable realistic shape (e.g. pose and expression) transfer, existing ...
The I.I.D. hypothesis between training data and testing data is the basi...
Given a large number of unlabeled face images, face grouping aims at
clu...