公开(公告)号：US20230094954A1

公开(公告)日：2023-03-30

申请号：US17485780

申请日：2021-09-27

Applicant: Adobe Inc.

Inventor： Ritwik Sinha ,  Sridhar Mahadevan ,  Moumita Sinha ,  Md Mehrab Tanjim ,  Krishna Kumar Singh ,  David Arbour

IPC: G06K9/62 ,  G06N3/04

Abstract: Methods and systems disclosed herein relate generally to systems and methods for generating simulated images for enhancing socio-demographic diversity. An image-generating application receives a request that includes a set of target socio-demographic attributes. The set of target socio-demographic attributes can define a gender, age, and/or race of a subject that are non-stereotypical for a particular occupation. The image-generating application applies the a machine-learning model to the set of target socio-demographic attributes. The machine-learning model generates a simulated image depicts a subject having visual characteristics that are defined by the set of target socio-demographic attributes.

公开(公告)号：US20220137930A1

公开(公告)日：2022-05-05

申请号：US17089838

申请日：2020-11-05

Applicant: ADOBE INC.

Inventor： Sridhar Mahadevan ,  Anup Rao ,  Jennifer Healey ,  Georgios Theocharous

IPC: G06F7/78 ,  G06F17/14 ,  G06F17/16 ,  G06K9/62

Abstract: Systems and methods are described for performing dynamic time warping using diffusion wavelets. Embodiments of the inventive concept integrate dynamic time warping with multi-scale manifold learning methods. Certain embodiments also include warping on mixed manifolds (WAMM) and curve wrapping. The described techniques enable an improved data analytics application to align high dimensional ordered sequences such as time-series data. In one example, a first embedding of a first ordered sequence of data and a second embedding of a second ordered sequence of data may be computed based on generated diffusion wavelet basis vectors. Alignment data may then be generated for the first ordered sequence of data and the second ordered sequence of data by performing dynamic time warping.