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  1. AI Co-Pilot: RNNs for Dynamic Facial Analysis

    • The traditional approach for analyzing facial features in videos is Bayesian Filtering. Examples include Kalman Filters and Particle Filters. These methods, however, generally requires complicated, proble… See more

    From Bayesian Filtering to RNNs

    We now apply RNNs to facial analysis in videos. As Figure 4 shows, we studied four variants of the proposed method for head pose estimation and facial landmark localizatio… See more

    NVIDIA Developer
    Large Synthetic Datasets Are Essential

    Big data is critical for the success of any deep learning related study. The requirement of big data is especially prominent for head pose and landmark estimation f… See more

    NVIDIA Developer
    Experimental Results

    We applied our methods to two dynamic facial analysis tasks: head pose estimation and facial landmark localization from videos. We implemented the CNN and RNN netwo… See more

    NVIDIA Developer
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