Search Results - Tastan, Nurbek

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  1. 1
    A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection

    A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection by Al-Lahham, Anas, Tastan, Nurbek, Zaheer, Muhammad Zaigham, Nandakumar, Karthik

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  2. 2
    Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

    Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline by Al-lahham, Anas, Zaheer, Muhammad Zaigham, Tastan, Nurbek, Nandakumar, Karthik

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  3. 3
    FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning

    FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning by Tastan, Nurbek, Horvath, Samuel, Takac, Martin, Nandakumar, Karthik

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  4. 4
    Redefining Contributions: Shapley-Driven Federated Learning

    Redefining Contributions: Shapley-Driven Federated Learning by Tastan, Nurbek, Fares, Samar, Aremu, Toluwani, Horvath, Samuel, Nandakumar, Karthik

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  5. 5
    Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

    Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline by Al-lahham, Anas, Muhammad Zaigham Zaheer, Tastan, Nurbek, Nandakumar, Karthik

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  6. 6
    A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection

    A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection by Al-lahham, Anas, Tastan, Nurbek, Zaheer, Zaigham, Nandakumar, Karthik

    Published in arXiv.org
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