Shape-Color Differential Moment Invariants Under Affine Transforms. - Hanlin Mo; Shirui Li; You Hao; Hua Li 009 (CCCV (2), 2017)

A Kind of Affine Weighted Moment Invariants. - Hanlin Mo; Shirui Li; You Hao; Hua Li 009 (CCCV (3), 2017)

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classification. - You Hao; Shirui Li; Hanlin Mo; Hua Li 009 (ICIG (1), 2017)

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication. - You Hao; Shirui Li; Hanlin Mo; Hua Li 009 (CoRR, 2017)

Shape-Color Differential Moment Invariants under Affine Transformations. - Hanlin Mo; Shirui Li; You Hao; Hua Li 009 (CoRR, 2017)

Fast and Efficient Calculations of Structural Invariants of Chirality. - He Zhang 012; Hanlin Mo; You Hao; Shirui Li; Hua Li 009 (CoRR, 2017)

Naturally combined shape-color moment invariants under affine transformations. - Ming Gong 001; You Hao; Hanlin Mo; Hua Li 009 (Comput. Vis. Image Underst., 2017)

A Rotation Invariant Descriptor Using Multi-directional and High-Order Gradients. - Hanlin Mo; Qi Li; You Hao; He Zhang 012; Hua Li 009 (PRCV (1), 2018)

Differential and Integral Invariants Under Möbius Transformation. - He Zhang 012; Hanlin Mo; You Hao; Qi Li; Hua Li 009 (PRCV (3), 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)

AMI-Net: Convolution Neural Networks With Affine Moment Invariants. - You Hao; Qi Li; Hanlin Mo; He Zhang 012; Hua Li 009 (IEEE Signal Process. Lett., 2018)

Image Differential Invariants. - Hanlin Mo; Hua Li 009 (CoRR, 2019)

Dual affine moment invariants. - You Hao; Hanlin Mo; Qi Li; He Zhang 012; Hua Li 009 (CoRR, 2019)

Image Projective Invariants. - Erbo Li; Hanlin Mo; Dong Xu 008; Hua Li 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Fast and efficient calculations of structural invariants of chirality. - He Zhang 012; Hanlin Mo; You Hao; Qi Li; Shirui Li; Hua Li 009 (Pattern Recognit. Lett., 2019)

Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition. - Qi Li; Hanlin Mo; Jinghan Zhao; Hongxiang Hao; Hua Li 009 (CoRR, 2020)

Geometric Moment Invariants to Motion Blur. - Hongxiang Hao; Hanlin Mo; Hua Li 009 (CoRR, 2021)

Geometric moment invariants to spatial transform and N-fold symmetric blur. - Hanlin Mo; Hongxiang Hao; Hua Li 009 (Pattern Recognit., 2021)

Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform. - Hanlin Mo; Hua Li 009; Guoying Zhao 001 (CoRR, 2022)

Image Moment Invariants to Rotational Motion Blur. - Hanlin Mo; Hongxiang Hao; Guoying Zhao 001 (CoRR, 2023)

Sorted Convolutional Network for Achieving Continuous Rotational Invariance. - Hanlin Mo; Guoying Zhao 001 (CoRR, 2023)

Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured. - Hanlin Mo; Guoying Zhao 001 (CoRR, 2024)

Sorting Convolution Operation for Achieving Rotational Invariance. - Hanlin Mo; Guoying Zhao 001 (IEEE Signal Process. Lett., 2024)

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network. - Hanlin Mo; Guoying Zhao 001 (Pattern Recognit., 2024)