Hanlin Mo

According to our database, Hanlin Mo authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network.

Hanlin Mo, Guoying Zhao

Pattern Recognit., February, 2024

Sorting Convolution Operation for Achieving Rotational Invariance.

Hanlin Mo, Guoying Zhao

IEEE Signal Process. Lett., 2024

Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured.

Hanlin Mo, Guoying Zhao

CoRR, 2024

2023

Sorted Convolutional Network for Achieving Continuous Rotational Invariance.

Hanlin Mo, Guoying Zhao

CoRR, 2023

Image Moment Invariants to Rotational Motion Blur.

Hanlin Mo, Hongxiang Hao, Guoying Zhao

CoRR, 2023

2022

Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform.

Hanlin Mo, Hua Li, Guoying Zhao

CoRR, 2022

2021

Geometric moment invariants to spatial transform and <i>N</i>-fold symmetric blur.

Hanlin Mo, Hongxiang Hao, Hua Li

Pattern Recognit., 2021

Geometric Moment Invariants to Motion Blur.

Hongxiang Hao, Hanlin Mo, Hua Li

CoRR, 2021

2020

Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition.

Qi Li, Hanlin Mo, Jinghan Zhao, Hongxiang Hao, Hua Li

CoRR, 2020

2019

Fast and efficient calculations of structural invariants of chirality.

He Zhang, Hanlin Mo, You Hao, Qi Li, Shirui Li, Hua Li

Pattern Recognit. Lett., 2019

Image Projective Invariants.

Erbo Li, Hanlin Mo, Dong Xu, Hua Li

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dual affine moment invariants.

You Hao, Hanlin Mo, Qi Li, He Zhang, Hua Li

CoRR, 2019

Image Differential Invariants.

Hanlin Mo, Hua Li

CoRR, 2019

2018

AMI-Net: Convolution Neural Networks With Affine Moment Invariants.

You Hao, Qi Li, Hanlin Mo, He Zhang, Hua Li

IEEE Signal Process. Lett., 2018

Grouping environmental factors influencing individual decision-making behavior in software projects: A cluster analysis.

Jingdong Jia, Hanlin Mo, Luiz Fernando Capretz, Zupeng Chen

J. Softw. Evol. Process., 2018

Differential and Integral Invariants Under Möbius Transformation.

He Zhang, Hanlin Mo, You Hao, Qi Li, Hua Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Rotation Invariant Descriptor Using Multi-directional and High-Order Gradients.

Hanlin Mo, Qi Li, You Hao, He Zhang, Hua Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Naturally combined shape-color moment invariants under affine transformations.

Ming Gong, You Hao, Hanlin Mo, Hua Li

Comput. Vis. Image Underst., 2017

Fast and Efficient Calculations of Structural Invariants of Chirality.

He Zhang, Hanlin Mo, You Hao, Shirui Li, Hua Li

CoRR, 2017

Shape-Color Differential Moment Invariants under Affine Transformations.

Hanlin Mo, Shirui Li, You Hao, Hua Li

CoRR, 2017

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication.

You Hao, Shirui Li, Hanlin Mo, Hua Li

CoRR, 2017

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classification.

You Hao, Shirui Li, Hanlin Mo, Hua Li

Proceedings of the Image and Graphics - 9th International Conference, 2017

A Kind of Affine Weighted Moment Invariants.

Hanlin Mo, Shirui Li, You Hao, Hua Li

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Shape-Color Differential Moment Invariants Under Affine Transforms.

Hanlin Mo, Shirui Li, You Hao, Hua Li

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017