54 citations · 159 across the 16 of their papers we have counts for
16 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…
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
C. Xiao, W. An, Y. Zhang +5
Moving object detection in satellite videos (SVMOD) is a challenging task due to the extremely dim and small target characteristics. Current learning-based methods extract spatio-t…
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
Huali Xu, Li Liu, Shuaifeng Zhi +4
Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due to increasing concerns about d…
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…
Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling
Xiaozheng Zheng, Zhuo Su, Chao Wen +2
To bridge the physical and virtual worlds for rapidly developed VR/AR applications, the ability to realistically drive 3D full-body avatars is of great significance. Although real-…
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…