19 citations · 37 across the 16 of their papers we have counts for
16 papers
Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Hanlin Mo, Guoying Zhao
The topic of achieving rotational invariance in convolutional neural networks (CNNs) has gained considerable attention recently, as this invariance is crucial for many computer vis…
Image Moment Invariants to Rotational Motion Blur
Hanlin Mo, Hongxiang Hao, Guoying Zhao
Rotational motion blur caused by the circular motion of the camera or/and object is common in life. Identifying objects from images affected by rotational motion blur is challengin…
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Hanlin Mo, Guoying Zhao
In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image…
Gaussian-Hermite Moment Invariants of General Multi-Channel Functions
Hanlin Mo, Hua Li, Guoying Zhao
With the development of data acquisition technology, large amounts of multi-channel data are collected and widely used in many fields. Most of them, such as RGB images and vector f…
Geometric Moment Invariants to Motion Blur
Hongxiang Hao., Hanlin Mo., Hua Li
In this paper, we focus on removing interference of motion blur by the derivation of motion blur invariants.Unlike earlier work, we don't restore any blurred image. Based on geomet…
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
Qi Li, Hanlin Mo, Jinghan Zhao +2
The dynamics of human skeletons have significant information for the task of action recognition. The similarity between trajectories of corresponding joints is an indicating featur…