28 citations · 93 across the 21 of their papers we have counts for
5 papers · 1 filter
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
Jingwen Fu, Xiaoyi Zhang, Yuwang Wang +3
The ubiquity of mobile phones makes mobile GUI understanding an important task. Most previous works in this domain require human-created metadata of screens (e.g. View Hierarchy) d…
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
Xiaotian Chen, Yuwang Wang, Xuejin Chen +1
Human can infer the 3D geometry of a scene from a sketch instead of a realistic image, which indicates that the spatial structure plays a fundamental role in understanding the dept…
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren, Tao Yang, Yuwang Wang +1
Content and style (C-S) disentanglement intends to decompose the underlying explanatory factors of objects into two independent subspaces. From the unsupervised disentanglement per…
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren, Tao Yang, Yuwang Wang +1
From the intuitive notion of disentanglement, the image variations corresponding to different factors should be distinct from each other, and the disentangled representation should…
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang, Xuanchi Ren, Yuwang Wang +2
Disentangled representation learning is one of the major goals of deep learning, and is a key step for achieving explainable and generalizable models. A well-defined theoretical gu…