35 citations · 40 across the 4 of their papers we have counts for
4 papers
SDA-Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation
Qingbei Guo, Xiao-Jun Wu, Zhiquan Feng +2
Existing multi-scale solutions lead to a risk of just increasing the receptive field sizes while neglecting small receptive fields. Thus, it is a challenging problem to effectively…
Differentiable Neural Architecture Learning for Efficient Neural Network Design
Qingbei Guo, Xiao-Jun Wu, Josef Kittler +1
Automated neural network design has received ever-increasing attention with the evolution of deep convolutional neural networks (CNNs), especially involving their deployment on emb…
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…
A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors
Qingbei Guo, Yuan Zhang, Jaime Lloretz +2
Localization is a fundamental function in cooperative control of micro unmanned aerial vehicles (UAVs), but is easily affected by flip ambiguities because of measurement errors and…