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2020 – today
- 2024
[i5]Sameer Ambekar, Julia A. Schnabel, Cosmin I. Bercea:
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations. CoRR abs/2410.03306 (2024)- 2023
- [i4]Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
Learning Variational Neighbor Labels for Test-Time Domain Generalization. CoRR abs/2307.04033 (2023) - 2022
- [c2]Sameer Ambekar
, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs. ECCV Workshops (4) 2022: 679-693 - [i3]Sameer Ambekar, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs. CoRR abs/2208.04226 (2022) - 2021
- [i2]Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva:
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. CoRR abs/2102.07975 (2021) - 2020
- [c1]Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, A. P. Prathosh:
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search. ECCV (6) 2020: 413-429 - [i1]Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP:
Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search. CoRR abs/2006.08696 (2020)
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