Publications (8)
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
Xianglei Xing, Ruiqi Gao, Tian Han +2
We present a deformable generator model to disentangle the appearance and geometric information for both image and video data in a purely unsupervised manner. The appearance genera…
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
Xianglei Xing, Tianfu Wu, Song-Chun Zhu +1
This paper proposes to learn hierarchical compositional AND-OR model for interpretable image synthesis by sparsifying the generator network. The proposed method adopts the scene-ob…
Floating-Body Hydrodynamic Neural Networks
Tianshuo Zhang, Wenzhe Zhai, Rui Yann +3
Fluid-structure interaction is common in engineering and natural systems, where floating-body motion is governed by added mass, drag, and background flows. Modeling these dissipati…
Inducing Sparse Coding and And-Or Grammar from Generator Network
Xianglei Xing, Song-Chun Zhu, Ying Nian Wu
We introduce an explainable generative model by applying sparse operation on the feature maps of the generator network. Meaningful hierarchical representations are obtained using t…
Multi-Ship Tracking by Robust Similarity metric
Hongyu Zhao, Gongming Wei, Yang Xiao +1
Multi-ship tracking (MST) as a core technology has been proven to be applied to situational awareness at sea and the development of a navigational system for autonomous ships. Desp…
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable Image Steganography
Tianshuo Zhang, Gao Jia, Wenzhe Zhai +2
Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and p…