167 citations · 246 across the 4 of their papers we have counts for
7 papers
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
Ruiqi Gao, Yang Lu, Junpei Zhou +2
This paper proposes a multi-grid method for learning energy-based generative ConvNet models of images. For each grid, we learn an energy-based probabilistic model where the energy…
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie, Yang Lu, Ruiqi Gao +2
This paper studies the cooperative training of two generative models for image modeling and synthesis. Both models are parametrized by convolutional neural networks (ConvNets). The…
Alternating Back-Propagation for Generator Network
Tian Han, Yang Lu, Song-Chun Zhu +1
This paper proposes an alternating back-propagation algorithm for learning the generator network model. The model is a non-linear generalization of factor analysis. In this model,…
A Theory of Generative ConvNet
Jianwen Xie, Yang Lu, Song-Chun Zhu +1
We show that a generative random field model, which we call generative ConvNet, can be derived from the commonly used discriminative ConvNet, by assuming a ConvNet for multi-catego…
Learning FRAME Models Using CNN Filters
Yang Lu, Song-Chun Zhu, Ying Nian Wu
The convolutional neural network (ConvNet or CNN) has proven to be very successful in many tasks such as those in computer vision. In this conceptual paper, we study the generative…
Online Object Tracking, Learning and Parsing with And-Or Graphs
Tianfu Wu, Yang Lu, Song-Chun Zhu
This paper presents a method, called AOGTracker, for simultaneously tracking, learning and parsing (TLP) of unknown objects in video sequences with a hierarchical and compositional…