7 citations · 13 across the 6 of their papers we have counts for
6 papers
DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing
Canqun Xiang, Zhennan Wang, Wenbin Zou +1
Parsing an image into a hierarchy of objects, parts, and relations is important and also challenging in many computer vision tasks. This paper proposes a simple and effective capsu…
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Jiawei Ren, Xiao Ma, Chen Xu +2
Person Re-Identification (Re-ID) is of great importance to the many video surveillance systems. Learning discriminative features for Re-ID remains a challenge due to the large vari…
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang, Canqun Xiang, Wenbin Zou +1
The strong correlation between neurons or filters can significantly weaken the generalization ability of neural networks. Inspired by the well-known Tammes problem, we propose a no…
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm
Xiaoxia Liu, Jian Lu, Lixin Shen +2
The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices f…
SAIS: Single-stage Anchor-free Instance Segmentation
Canqun Xiang, Shishun Tian, Wenbin Zou +1
In this paper, we propose a simple yet efficientinstance segmentation approach based on the single-stage anchor-free detector, termed SAIS. In our approach, the instancesegmentatio…
PR Product: A Substitute for Inner Product in Neural Networks
Zhennan Wang, Wenbin Zou, Chen Xu
In this paper, we analyze the inner product of weight vector w and data vector x in neural networks from the perspective of vector orthogonal decomposition and prove that the direc…