公开(公告)号：US20250086522A1

公开(公告)日：2025-03-13

申请号：US18462914

申请日：2023-09-07

Applicant: Qualcomm Technologies, Inc.

Inventor： Lars VEEFKIND ,  Gabriele CESA

IPC: G06N20/20

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. A set of training data is accessed, and a transformation group comprising a plurality of group elements is determined. A set of unconstrained weights for a layer of the machine learning model is generated based on the set of training data. A set of parameter values for a likelihood function for the layer is generated based on the set of training data. A set of constrained weights is generated, based at least in part on the likelihood function and the set of unconstrained weights, such that the set of constrained weights is equivariant with respect to at least a subset of the plurality of group elements.

公开(公告)号：US20240257411A1

公开(公告)日：2024-08-01

申请号：US18159622

申请日：2023-01-25

Applicant: QUALCOMM Technologies, Inc.

Inventor： Gabriele CESA ,  Arash BEHBOODI ,  Taco Sebastiaan COHEN ,  Max WELLING

IPC: G06T11/00 ,  G06T5/00 ,  G06T5/10 ,  G06T5/50 ,  G06T7/70

CPC classification number: G06T11/005 ,  G06T5/002 ,  G06T5/10 ,  G06T5/50 ,  G06T7/70 ,  G06T11/008 ,  G06T2207/10056 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: Certain aspects of the present disclosure provide techniques for pose estimation for three-dimensional object reconstruction. In one example, a method, includes receiving image data, wherein the image data comprises a plurality of images taken from varying poses; identifying one or more pairs of spatially related images within the plurality of images; generating a synchronization graph indicative of at least one similarity metric between the plurality of images, based at least in part on the identified one of more pairs of spatially related images; and estimating a pose of an object depicted in the plurality of images based on the synchronization graph.

公开(公告)号：US20220318590A1

公开(公告)日：2022-10-06

申请号：US17219099

申请日：2021-03-31

Applicant: QUALCOMM Technologies, Inc.

Inventor： Gabriele CESA ,  Leon LANG ,  Maurice WEILER

IPC: G06N3/04 ,  G06N3/08

Abstract: A method comprising for generating an equivariant neural network includes receiving a set of irreducible representations for an origin-preserving group. A network that is equivariant to the origin-preserving group is dynamically generated based on the set of irreducible representation.