167 citations · 1k across the 81 of their papers we have counts for
13 papers · 1 filter
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Jianwen Xie, Ruiqi Gao, Zilong Zheng +2
This paper studies the dynamic generator model for spatial-temporal processes such as dynamic textures and action sequences in video data. In this model, each time frame of the vid…
Explanatory Graphs for CNNs
Quanshi Zhang, Xin Wang, Ruiming Cao +3
This paper introduces a graphical model, namely an explanatory graph, which reveals the knowledge hierarchy hidden inside conv-layers of a pre-trained CNN. Each filter in a conv-la…
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang, Ruiming Cao, Ying Nian Wu +1
In this paper, we present a method to mine object-part patterns from conv-layers of a pre-trained convolutional neural network (CNN). The mined object-part patterns are organized b…
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Siyuan Huang, Siyuan Qi, Yinxue Xiao +3
Holistic 3D indoor scene understanding refers to jointly recovering the i) object bounding boxes, ii) room layout, and iii) camera pose, all in 3D. The existing methods either are…
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu +1
This paper proposes a representational model for grid cells. In this model, the 2D self-position of the agent is represented by a high-dimensional vector, and the 2D self-motion or…
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
Ying Nian Wu, Ruiqi Gao, Tian Han +1
The pattern theory of Grenander is a mathematical framework where patterns are represented by probability models on random variables of algebraic structures. In this paper, we revi…