| Multi-channel versus quaternion orthogonal rotation invariant moments for color image representation C Singh, J Singh Digital Signal Processing 78, 376-392, 2018 | 52 | 2018 |
| Quaternion generalized Chebyshev-Fourier and pseudo-Jacobi-Fourier moments for color object recognition C Singh, J Singh Optics & Laser Technology 106, 234-250, 2018 | 26 | 2018 |
| Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach C Singh, J Singh Information Sciences 484, 135-152, 2019 | 16 | 2019 |
| A survey on rotation invariance of orthogonal moments and transforms C Singh, J Singh Signal Processing 185, 108086, 2021 | 10 | 2021 |
| Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments J Singh, C Singh 2022 International Joint Conference on Neural Networks, 2022 | 4 | 2022 |
| Orthogonal transforms for learning invariant representations in equivariant neural networks J Singh, C Singh, A Rana Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 3 | 2023 |
| Multi-channel generalized pseudo-Jacobi-Fourier moments for color image reconstruction and object recognition J Singh, C Singh 2017 Ninth International Conference on Advances in Pattern Recognition …, 2017 | 2 | 2017 |
| Color object classification using multi-channel Zernike moments-based rotation invariant bag-of-visual-words and deep convolutional neural networks J Singh, C Singh Information Fusion 97, 101823, 2023 | 1 | 2023 |
| Bag of Groups of Convolutional Features Model for Visual Object Recognition J Singh, C Singh 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 1 | 2021 |
| Orthogonal Rotation Invariant Moments for Equivariant Convolutional Neural Networks J Singh, C Singh | | |
chandan singhProfessor, Dept. of Computer Science, Punjabi University, PatialaVerified email at pbi.ac.in
