54 citations · 54 across the 6 of their papers we have counts for
6 papers
Rapid Salient Object Detection with Difference Convolutional Neural Networks
Zhuo Su, Li Liu, Matthias Müller +4
This paper addresses the challenge of deploying salient object detection (SOD) on resource-constrained devices with real-time performance. While recent advances in deep neural netw…
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Zhuo Su, Jiehua Zhang, Longguang Wang +4
Recently, there have been tremendous efforts in developing lightweight Deep Neural Networks (DNNs) with satisfactory accuracy, which can enable the ubiquitous deployment of DNNs in…
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Zhuo Su, Jiehua Zhang, Tianpeng Liu +4
This paper proposes a novel module called middle spectrum grouped convolution (MSGC) for efficient deep convolutional neural networks (DCNNs) with the mechanism of grouped convolut…
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning
Zhuo Su, Matti Pietikäinen, Li Liu
LBP is a successful hand-crafted feature descriptor in computer vision. However, in the deep learning era, deep neural networks, especially convolutional neural networks (CNNs) can…
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Jiehua Zhang, Xueyang Zhang, Zhuo Su +5
Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vision Transformers (ViTs) has become one of the focuses in vision research since the low computational cost i…
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
Zhuo Su, Max Welling, Matti Pietikäinen +1
Efficiency and robustness are increasingly needed for applications on 3D point clouds, with the ubiquitous use of edge devices in scenarios like autonomous driving and robotics, wh…