RIC-CNN: rotation-invariant coordinate convolutional neural network H Mo, G Zhao Pattern Recognition 146, 109994, 2024 | 31 | 2024 |
Image projective invariants E Li, H Mo, D Xu, H Li IEEE transactions on pattern analysis and machine intelligence 41 (5), 1144-1157, 2018 | 22 | 2018 |
Naturally combined shape-color moment invariants under affine transformations M Gong, Y Hao, H Mo, H Li Computer Vision and Image Understanding 162, 46-56, 2017 | 20 | 2017 |
AMI-Net: convolution neural networks with affine moment invariants Y Hao, Q Li, H Mo, H Zhang, H Li IEEE Signal Processing Letters 25 (7), 1064-1068, 2018 | 17 | 2018 |
Grouping environmental factors influencing individual decision‐making behavior in software projects: A cluster analysis J Jia, H Mo, LF Capretz, Z Chen Journal of Software: Evolution and Process 30 (1), e1913, 2018 | 11 | 2018 |
Fast non-rigid human motion 3D reconstruction S Li, Y Hao, H Mo, Q Li, Y Lyu, X Wang, H Li Journal of Computer-Aided Design & Computer Graphics 30 (8), 1505-1513, 2018 | 9 | 2018 |
Affine-gradient based local binary pattern descriptor for texture classification Y Hao, S Li, H Mo, H Li Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | 9 | 2017 |
Multiple object tracking and kinematic simulation for short track speed skating L Qi, H Mo, X Wang, L Hua Journal of System Simulation 33 (5), 1039-1050, 2021 | 8 | 2021 |
Geometric moment invariants to spatial transform and N-fold symmetric blur H Mo, H Hao, H Li Pattern Recognition 115, 107887, 2021 | 5 | 2021 |
Spatio-temporal dual affine differential invariant for skeleton-based action recognition Q Li, H Mo, J Zhao, H Hao, H Li arXiv preprint arXiv:2004.09802, 2020 | 5 | 2020 |
Sorting Convolution Operation for Achieving Rotational Invariance H Mo, G Zhao IEEE Signal Processing Letters, 2024 | 3 | 2024 |
Fast and efficient calculations of structural invariants of chirality H Zhang, H Mo, Y Hao, Q Li, S Li, H Li Pattern Recognition Letters 128, 270-277, 2019 | 3 | 2019 |
Differential and integral invariants under Möbius transformation H Zhang, H Mo, Y Hao, Q Li, H Li Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 280-291, 2018 | 3 | 2018 |
Dual affine moment invariants Y Hao, H Mo, Q Li, H Zhang, H Li arXiv preprint arXiv:1911.08233, 2019 | 2 | 2019 |
Image differential invariants H Mo, H Li arXiv preprint arXiv:1911.05327, 2019 | 2 | 2019 |
A rotation invariant descriptor using multi-directional and high-order gradients H Mo, Q Li, Y Hao, H Zhang, H Li Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | 2 | 2018 |
Shape-color differential moment invariants under affine transforms H Mo, S Li, Y Hao, H Li Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 2 | 2017 |
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured H Mo, G Zhao arXiv preprint arXiv:2404.11309, 2024 | 1 | 2024 |
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators H Mo, H Li arXiv preprint arXiv:1911.05327, 2019 | 1 | 2019 |
A kind of affine weighted moment invariants H Mo, S Li, Y Hao, H Li Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 1 | 2017 |