13 citations · 37 across the 9 of their papers we have counts for
12 papers
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Xiaoguang Zhu, Ye Zhu, Haoyu Wang +3
Action recognition has been a heated topic in computer vision for its wide application in vision systems. Previous approaches achieve improvement by fusing the modalities of the sk…
Masks Fusion with Multi-Target Learning For Speech Enhancement
Liangchen Zhou, Wenbin Jiang, Jingyan Xu +2
Recently, deep neural network (DNN) based time-frequency (T-F) mask estimation has shown remarkable effectiveness for speech enhancement. Typically, a single T-F mask is first esti…
A life-long SLAM approach using adaptable local maps based on rasterized LIDAR images
Waqas Ali, Peilin Liu, Rendong Ying +1
Most real-time autonomous robot applications require a robot to traverse through a dynamic space for a long time. In some cases, a robot needs to work in the same environment. Such…
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan, Fei Wen, Rendong Ying +2
Lossy compression algorithms are typically designed to achieve the lowest possible distortion at a given bit rate. However, recent studies show that pursuing high perceptual qualit…
6-DOF Feature based LIDAR SLAM using ORB Features from Rasterized Images of 3D LIDAR Point Cloud
Waqas Ali, Peilin Liu, Rendong Ying +1
An accurate and computationally efficient SLAM algorithm is vital for modern autonomous vehicles. To make a lightweight the algorithm, most SLAM systems rely on feature detection f…
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring
Fei Wen, Rendong Ying, Yipeng Liu +2
Blind image deblurring is a long standing challenging problem in image processing and low-level vision. Recently, sophisticated priors such as dark channel prior, extreme channel p…