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公开(公告)号：US20230091371A1
公开(公告)日：2023-03-23
申请号：US17479648
申请日：2021-09-20
Applicant: NVIDIA Corporation
Inventor： Yuzhuo Ren , Niranjan Avadhanam , Rajath Bellipady Shetty
Abstract: A neural network system leverages dual attention, specifically both spatial attention and channel attention, to jointly estimate heart rate and respiratory rate of a subject by processing images of the subject. A motion neural network receives images of the subject and estimates heart and breath rates of the subject using both spatial and channel domain attention masks to focus processing on particular feature data. An appearance neural network computes a spatial attention mask from the images of the subject and may indicate that features associated with the subject's face (as opposed to the subject's hair or shoulders) to accurately estimate the heart and/or breath rate. Channel-wise domain attention is learned during training and recalibrates channel-wise feature responses to select the most informative features for processing. The channel attention mask is learned during training and can be used for different subjects during deployment.
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公开(公告)号：US20230024474A1
公开(公告)日：2023-01-26
申请号：US17381129
申请日：2021-07-20
Applicant: Nvidia Corporation
Inventor： Yuzhuo Ren , Niranjan Avadhanam
Abstract: Stitching of multiple images into a composite representation can be performed using a set of stitching parameters determined based, at least in part, upon a subjective stitching quality assessment value. A stitched image can be compared against its constituent images to obtain one or more objective quality metrics. These objective quality metrics can be fed, as input, to a trained classifier, which can infer a subjective quality assessment metric for the stitched (or otherwise composited) image. This subjective quality assessment metric can be used to adjust one or more compositing parameter values in order to provide at least a minimum subjective quality assessment value for composited images.
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公开(公告)号：US20210056306A1
公开(公告)日：2021-02-25
申请号：US16544442
申请日：2019-08-19
Applicant: Nvidia Corporation
Inventor： Feng Hu , Niranjan Avadhanam , Yuzhuo Ren , Sujay Yadawadkar , Sakthivel Sivaraman , Hairong Jiang , Siyue Wu
Abstract: Apparatuses, systems, and techniques are described to determine locations of objects using images including digital representations of those objects. In at least one embodiment, a gaze of one or more occupants of a vehicle is determined independently of a location of one or more sensors used to detect those occupants.
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