Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search. - Prashant Pandey 002; Aayush Kumar Tyagi; Sameer Ambekar; A. P. Prathosh (ECCV (6), 2020)

Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search. - Prashant Pandey 002; Aayush Kumar Tyagi; Sameer Ambekar; Prathosh AP (CoRR, 2020)

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. - Kartikeya Badola; Sameer Ambekar; Himanshu Pant; Sumit Soman; Anuradha Sural; Rajiv Narang; Suresh Chandra 001; Jayadeva (CoRR, 2021)

SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs. - Sameer Ambekar; Matteo Tafuro; Ankit Ankit; Diego van der Mast; Mark Alence; Christos Athanasiadis (ECCV Workshops (4), 2022)

Learning Variational Neighbor Labels for Test-Time Domain Generalization. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoRR, 2023)

Probabilistic Test-Time Generalization by Variational Neighbor-Labeling. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoLLAs, 2024)

Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations. - Sameer Ambekar; Julia A. Schnabel; Cosmin I. Bercea (CoRR, 2024)

GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts. - Sameer Ambekar; Zehao Xiao; Xiantong Zhen; Cees G. M. Snoek (WACV, 2025)

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation. - Sameer Ambekar; Daniel M. Lang; Julia A. Schnabel (CoRR, 2025)