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公开(公告)号:US11741736B2
公开(公告)日:2023-08-29
申请号:US17556451
申请日:2021-12-20
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
CPC classification number: G06V40/103 , G06N3/045 , G06N3/08 , G06T7/248 , G06V10/26 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/10 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US20250005956A1
公开(公告)日:2025-01-02
申请号:US18828950
申请日:2024-09-09
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US20220114800A1
公开(公告)日:2022-04-14
申请号:US17556451
申请日:2021-12-20
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US20200151489A1
公开(公告)日:2020-05-14
申请号:US16678100
申请日:2019-11-08
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US12087077B2
公开(公告)日:2024-09-10
申请号:US18347471
申请日:2023-07-05
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
CPC classification number: G06V40/103 , G06N3/045 , G06N3/08 , G06T7/248 , G06V10/26 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/10 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US20230351795A1
公开(公告)日:2023-11-02
申请号:US18347471
申请日:2023-07-05
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
CPC classification number: G06V40/103 , G06N3/08 , G06T7/248 , G06V10/26 , G06V20/52 , G06V40/10 , G06N3/045 , G06V10/82 , G06V10/454 , G06T2207/30232 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30241
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US20200160185A1
公开(公告)日:2020-05-21
申请号:US16197986
申请日:2018-11-21
Applicant: NVIDIA CORPORATION
Inventor: Varun Praveen , Anil Ubale , Parthasarathy Sriram , Greg Heinrich , Tayfun Gurel
Abstract: Input layers of an element-wise operation in a neural network can be pruned such that the shape (e.g., the height, the width, and the depth) of the pruned layers matches. A pruning engine identifies all of the input layers into the element-wise operation. For each set of corresponding neurons in the input layers, the pruning engine equalizes the metrics associated with the neurons to generate an equalized metric associated with the set. The pruning engine prunes the input layers based on the equalized metrics generated for each unique set of corresponding neurons.
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公开(公告)号:US20150023507A1
公开(公告)日:2015-01-22
申请号:US13946811
申请日:2013-07-19
Applicant: Nvidia Corporation
Inventor: Anil Ubale
IPC: H04R3/00
CPC classification number: H04R3/007
Abstract: An audio engine applies a driving signal to a speaker system, which produces an audio signal. The audio signal is captured by a microphone on the same device and feeds that signal back to the audio engine. After comparing the recorded signal to an expected signal the variance is assessed to determine the presence of distortion, in which case subsequent driving signals are attenuated to avoid damage to the speaker system.
Abstract translation: 音频引擎将驱动信号施加到产生音频信号的扬声器系统。 音频信号由相同设备上的麦克风捕获,并将该信号反馈给音频引擎。 在将记录的信号与预期信号进行比较之后,评估方差以确定失真的存在,在这种情况下,随后的驱动信号被衰减以避免损坏扬声器系统。
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公开(公告)号:US11205086B2
公开(公告)日:2021-12-21
申请号:US16678100
申请日:2019-11-08
Applicant: NVIDIA Corporation
Inventor: Parthasarathy Sriram , Fnu Ratnesh Kumar , Anil Ubale , Farzin Aghdasi , Yan Zhai , Subhashree Radhakrishnan
Abstract: In various examples, sensor data—such as masked sensor data—may be used as input to a machine learning model to determine a confidence for object to person associations. The masked sensor data may focus the machine learning model on particular regions of the image that correspond to persons, objects, or some combination thereof. In some embodiments, coordinates corresponding to persons, objects, or combinations thereof, in addition to area ratios between various regions of the image corresponding to the persons, objects, or combinations thereof, may be used to further aid the machine learning model in focusing on important regions of the image for determining the object to person associations.
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公开(公告)号:US09769550B2
公开(公告)日:2017-09-19
申请号:US14073652
申请日:2013-11-06
Applicant: NVIDIA Corporation
Inventor: Anil Ubale
CPC classification number: H04R1/005 , H03H17/0282 , H04R2201/003 , H04R2499/11
Abstract: A method for processing a bitstream starts by shifting a bitstream of a first sample of a signal into a buffer. The buffer also holds bits of one or more additional bitstreams for one or more additional samples of the signal. Bits of a first half of the buffer are incrementally compared to corresponding bits of a second half of the buffer. Each bit of the first half of the buffer is compared to a corresponding bit of the second half of the buffer. A computation is performed on each bit of the first half of the buffer that is equal to a corresponding bit of the second half of the buffer. The results of the computations are summed to determine an output value for the first sample of the signal.
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