公开(公告)号：WO2020102021A2

公开(公告)日：2020-05-22

申请号：PCT/US2019/060467

申请日：2019-11-08

Applicant: NVIDIA CORPORATION

Inventor： SRIRAM, Parthasarathy ,  KUMAR, Fnu Ratnesh ,  UBALE, Anil ,  AGHDASI, Farzin ,  ZHAI, Yan ,  RADHAKRISHNAN, Subhashree

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/46

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.

公开(公告)号：WO2022216528A1

公开(公告)日：2022-10-13

申请号：PCT/US2022/022924

申请日：2022-03-31

Applicant: NVIDIA CORPORATION

Inventor： RADHAKRISHNAN, Subhashree ,  AGHDASI, Farzin

IPC: G06V10/764 ,  G06V20/58

Abstract: Apparatuses, systems, and techniques to perform action recognition. In at least one embodiment, action recognition is performed using one or more neural networks and hardware accelerators, in which the one or more neural networks are processed based on, for example, one or more quantization and pruning processes.