61 citations · 86 across the 11 of their papers we have counts for
4 papers · 1 filter
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping
Yanchao Yang, Brian Lai, Stefano Soatto
We describe an unsupervised method to detect and segment portions of images of live scenes that, at some point in time, are seen moving as a coherent whole, which we refer to as ob…
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang, Stefano Soatto
We describe a simple method for unsupervised domain adaptation, whereby the discrepancy between the source and target distributions is reduced by swapping the low-frequency spectru…
Learning to Manipulate Individual Objects in an Image
Yanchao Yang, Yutong Chen, Stefano Soatto
We describe a method to train a generative model with latent factors that are (approximately) independent and localized. This means that perturbing the latent variables affects onl…
Phase Consistent Ecological Domain Adaptation
Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi +1
We introduce two criteria to regularize the optimization involved in learning a classifier in a domain where no annotated data are available, leveraging annotated data in a differe…