2k citations · 6.5k across the 82 of their papers we have counts for
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Self-grouping Convolutional Neural Networks
Qingbei Guo, Xiao-Jun Wu, Josef Kittler +1
Although group convolution operators are increasingly used in deep convolutional neural networks to improve the computational efficiency and to reduce the number of parameters, mos…
DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification
Jingqiao Zhao, Zhen-Hua Feng, Qiuqiang Kong +2
This paper presents a Depthwise Disout Convolutional Neural Network (DD-CNN) for the detection and classification of urban acoustic scenes. Specifically, we use log-mel as feature…
NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models
Hui Li, Xiao-Jun Wu, Tariq Durrani
In this paper we propose a novel method for infrared and visible image fusion where we develop nest connection-based network and spatial/channel attention models. The nest connecti…
Affine Non-negative Collaborative Representation Based Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Zhen-Hua Feng +1
During the past decade, representation-based classification methods have received considerable attention in pattern recognition. In particular, the recently proposed non-negative r…
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu +1
Siamese approaches have achieved promising performance in visual object tracking recently. The key to the success of Siamese trackers is to learn appearance-invariant feature embed…
Learning efficient structured dictionary for image classification
Zi-Qi Li, Jun Sun, Xiao-Jun Wu +1
Recent years have witnessed the success of dictionary learning (DL) based approaches in the domain of pattern classification. In this paper, we present an efficient structured dict…
Improved dual channel pulse coupled neural network and its application to multi-focus image fusion
Huai-Shui Tong, Xiao-Jun Wu, Hui Li
This paper presents an improved dual channel pulse coupled neural network (IDC-PCNN) model for image fusion. The model can overcome some defects of standard PCNN model. In this fus…
Face Verification via learning the kernel matrix
Ning Yuan, Xiao-Jun Wu, He-Feng Yin
The kernel function is introduced to solve the nonlinear pattern recognition problem. The advantage of a kernel method often depends critically on a proper choice of the kernel fun…
Multiplication fusion of sparse and collaborative-competitive representation for image classification
Zi-Qi Li, Jun Sun, Xiao-Jun Wu +1
Representation based classification methods have become a hot research topic during the past few years, and the two most prominent approaches are sparse representation based classi…