| 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 | 13 | 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 |
| Variational Pseudo Labels for Meta Test-time Adaptation S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek | 1 | 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 | | 2023 |
| Variational Pseudo Labeling for Test Time Domain Generalization S Ambekar, Z Xiao, J Shen, X Zhen, CGM Snoek | | 2023 |
| 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 |
| Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search− Supplementary− P Pandey, A Kumar, AP Prathosh | | |
Cees G. M. SnoekProfessor of Computer Science, University of Amsterdamuva.nl의 이메일 확인됨
