| Infrared Target Recognition Using Realistic Training Images Generated by Modifying Latent Features of an Encoder-Decoder Network M Arif, A Mahalanobis IEEE Transactions on Aerospace and Electronic Systems 57 (6), 4448-4456, 2021 | 5 | 2021 |
| FEW SHOT LEARNING FOR INFRA-RED OBJECT RECOGNITION USING ANALYTICALLY DESIGNED LOW LEVEL FILTERS FOR DATA REPRESENTATION M Arif, A Mahalanobis ICIP 2021 - IEEE International Conference on Image Processing, Page(s):1079 …, 2021 | 4 | 2021 |
| Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning M Arif, A Mahalanobis arXiv preprint arXiv:2008.07714, https://arxiv.org/abs/2008.07714, 2020 | 4 | 2020 |
| View prediction using manifold learning in non-linear feature subspace M Arif, A Mahalanobis MIPPR 2019: Pattern Recognition and Computer Vision 11430 (https://doi.org …, 2020 | 2 | 2020 |
| Background-Tolerant Object Classification With Embedded Segmentation Mask For Infrared And Color Imagery M Arif, C Yong, A Mahalanobis, N Rahnavard 2022 IEEE International Conference on Image Processing (ICIP), 1546-1550, 2022 | 1 | 2022 |
| Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs M Arif, C Yong, A Mahalanobis The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022 …, 2022 | 1 | 2022 |
| Towards Leveraging Sparse Infrared Datasets for Multiple View Synthesis, Few Shot Learning and Background Invariant Recognition M Arif | | 2022 |
| HybridNET: A Network that leverages on Classical And Non-classical Computer Vision Techniques For Few Shot Learning on Infrared Imagery M Arif, A Mahalanobis ICML 2021 Workshop on Women in Machine Learning, 2021 | | 2021 |
| Background Invariant Classification by Reducing Texture Bias in CNNs M Arif, C Yong, A Mahalanobis ICCV | VIPriors Workshop 2021, 2021 | | 2021 |
Abhijit MahalanobisDepartment of ECE, University of ArizonaVerified email at arizona.edu
