Unsupervised domain adaptation for semantic segmentation of NIR images through generative latent search P Pandey, AK Tyagi, S Ambekar, AP Prathosh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
Skin segmentation from nir images using unsupervised domain adaptation through generative latent search P Pandey, AK Tyagi, S Ambekar, P Ap arXiv preprint arXiv:2006.08696, 2020 | 5 | 2020 |
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs S Ambekar, M Tafuro, A Ankit, D der Mast, M Alence, C Athanasiadis European Conference on Computer Vision, 679-693, 2022 | 2 | 2022 |
Learning Variational Neighbor Labels for Test-Time Domain Generalization S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek arXiv preprint arXiv:2307.04033, 2023 | 1 | 2023 |
Variational Pseudo Labels for Meta Test-time Adaptation S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek | 1 | 2023 |
Counterfactual Generative Networks A Ankit, B Varadharajan, S Ambekar, M Alence ML Reproducibility Challenge 2021 (Fall Edition), 2022 | 1 | 2022 |
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images K Badola, S Ambekar, H Pant, S Soman, A Sural, R Narang, S Chandra arXiv preprint arXiv:2102.07975, 2021 | | 2021 |
A Framework for image selection for image fusion using crowdsourced data P Kunchur, RR Dhanakshirur, S Ambekar, S Bangarashetti 2019 1st International Conference on Advances in Information Technology …, 2019 | | 2019 |
Non-Parametric Neighborhood Test-Time Generalization: Application to Medical Image Classification S Ambekar, JA Schnabel, DM Lang MICCAI Student Board EMERGE Workshop: Empowering MEdical image computing …, 0 | | |
Variational Pseudo Labeling for Test Time Domain Generalization S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek | | |
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search− Supplementary− P Pandey, A Kumar, AP Prathosh | | |