Published in , 1900
Publications
BaseTransformers: Attention over base data-points for One Shot Learning
Published in British Machine Vision Conference, 2022
In this paper, we introduce BaseTransformers, a method designed to enhance the feature representations of support instances during meta-test time in few shot classification tasks. By leveraging well-trained feature representations from the base dataset closest to each support instance, our approach significantly improves performance, achieving state-of-the-art results across multiple benchmark datasets and backbone models in the inductive one shot setting. Accepted at British Machine Vision Conference 2022.
Recommended citation: @inproceedings{Maniparambil_2022_BMVC, author = {Mayug Maniparambil and Kevin McGuinness and Noel O Connor}, title = {BaseTransformers: Attention over base data-points for One Shot Learning}, booktitle = {33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022}, publisher = {{BMVA} Press}, year = {2022}, url = {https://bmvc2022.mpi-inf.mpg.de/0482.pdf} } https://bmvc2022.mpi-inf.mpg.de/482/
Phase retrieval for Fourier Ptychography under varying amount of measurements
Published in British Machine Vision Conference, 2018
Deep learning based prior to improve phase retieval in Fourier Ptychography Microscopy. Accepted as spotlight paper at British Machine Vision Conference 2018.
Recommended citation: L. Boominathan, M. Maniparambil, H. Gupta, R. Baburajan, and K. Mitra, “Phase retrieval for fourier ptychography under varying amount of measurements,” arXiv preprint arXiv:1805.03593, 2018 http://academicpages.github.io/files/deep_fpm_paper.pdf
Phase retrieval for Fourier Ptychography under varying amount of measurements
Published in British Machine Vision Conference, 2018
Deep learning based prior to improve phase retieval in Fourier Ptychography Microscopy. Accepted as spotlight paper at British Machine Vision Conference 2018.
Recommended citation: L. Boominathan, M. Maniparambil, H. Gupta, R. Baburajan, and K. Mitra, “Phase retrieval for fourier ptychography under varying amount of measurements,” arXiv preprint arXiv:1805.03593, 2018 http://academicpages.github.io/files/deep_fpm_paper.pdf
- “Large Scale Topological Analysis of Cranial Bleeds” paper and open source dataset to be submitted to the Lancet (as of Oct 2020).