42 citations · 66 across the 8 of their papers we have counts for
9 papers · 1 filter
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…
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…
Median Pixel Difference Convolutional Network for Robust Face Recognition
Jiehua Zhang, Zhuo Su, Li Liu
Face recognition is one of the most active tasks in computer vision and has been widely used in the real world. With great advances made in convolutional neural networks (CNN), lot…
NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions
Yuheng Jiang, Suyi Jiang, Guoxing Sun +5
4D modeling of human-object interactions is critical for numerous applications. However, efficient volumetric capture and rendering of complex interaction scenarios, especially fro…
Pixel Difference Networks for Efficient Edge Detection
Zhuo Su, Wenzhe Liu, Zitong Yu +5
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level performance in edge detection with the rich and abstract edge representation capacities. However, the hi…