7 citations · 18 across the 7 of their papers we have counts for
7 papers
Preserving Structure in Variational Data Assimilation of Hyperbolic Conservation Laws via Regularization
Yao Xiao, Anne Gelb
Hyperbolic conservation laws pose a challenging setting for variational data assimilation, since the Gaussian assumption imposes a smoothness that smears jump discontinuities. A sp…
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Yao Xiao, Ziyi Tang, Pengxu Wei +2
Deep learning models are challenged by the distribution shift between the training data and test data. Recently, the large models pre-trained on diverse data have demonstrated unpr…
Sequential edge detection using joint hierarchical Bayesian learning
Yao Xiao, Anne Gelb, Guohui Song
This paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data. The new metho…
Semi-supervised Learning with Deterministic Labeling and Large Margin Projection
Ji Xu, Gang Ren, Yao Xiao +2
The centrality and diversity of the labeled data are very influential to the performance of semi-supervised learning (SSL), but most SSL models select the labeled data randomly. Th…
Sequential image recovery using joint hierarchical Bayesian learning
Yao Xiao, Jan Glaubitz
Recovering temporal image sequences (videos) based on indirect, noisy, or incomplete data is an essential yet challenging task. We specifically consider the case where each data se…
Sequential image recovery from noisy and under-sampled Fourier data
Yao Xiao, Jan Glaubitz, Anne Gelb +1
A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-sampled Fourier data. Specifically, we consider the case where each data set is m…
Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
Yao Xiao, Yijun Zhao
Realistic age-progressed photos provide invaluable biometric information in a wide range of applications. In recent years, deep learning-based approaches have made remarkable progr…