公开(公告)号：US20240161282A1

公开(公告)日：2024-05-16

申请号：US18405932

申请日：2024-01-05

Applicant: NVIDIA Corporation

Inventor： Wentao Zhu ,  Daguang Xu ,  Andriy Myronenko ,  Ziyue Xu

IPC: G06T7/00 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/33

CPC classification number: G06T7/0012 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/344 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.

公开(公告)号：US20230021926A1

公开(公告)日：2023-01-26

申请号：US17373309

申请日：2021-07-12

Applicant: NVIDIA Corporation

Inventor： Can Zhao ,  Daguang Xu ,  Holger Reinhard Roth ,  Ziyue Xu ,  Dong Yang ,  Andriy Myronenko ,  Lickkong Tam

IPC: G06T3/40 ,  G06K9/62 ,  G06N3/08 ,  G16H30/20

Abstract: Apparatuses, systems, and techniques to generate one or more images of an object. In at least one embodiment, a technique includes training one or more neural networks to generate one or more images of an object from at least a first image of the object and a second lower-resolution image of the object, where the training includes a comparison of the one or more generated images of the object with the second lower-resolution image of the object.

公开(公告)号：US20220366220A1

公开(公告)日：2022-11-17

申请号：US17244781

申请日：2021-04-29

Applicant: NVIDIA Corporation

Inventor： Holger Reinhard Roth ,  Yingda Xia ,  Daguang Xu ,  Andriy Myronenko ,  Wenqi Li ,  Dong Yang

IPC: G06N3/04 ,  H04L29/08 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques to improve federated learning for neural networks. In at least one embodiment, a federated server dynamically selects neural network weights according to one or more learnable aggregation weights indicating a contribution from each of one or more edge devices or clients during federated training according to various characteristics of each edge device or client model and training data.

公开(公告)号：US10740901B2

公开(公告)日：2020-08-11

申请号：US16223005

申请日：2018-12-17

Applicant: NVIDIA Corporation

Inventor： Andriy Myronenko

IPC: G06T7/11 ,  G06K9/03 ,  G06K9/62

Abstract: A segmentation model is trained with an image reconstruction model that shares an encoding. During application of the segmentation model, the segmentation model may use the encoding and network layers trained for the segmentation without the image reconstruction model. The image reconstruction model may include a probabilistic representation of the image that represents the image based on a probability distribution. When training the model, the encoding layers of the model use a loss function including an error term from the segmentation model and from the autoencoder model. The image reconstruction model thus regularizes the encoding layers and improves modeling results and prevents overfitting, particularly for small training sizes.

公开(公告)号：US20240104345A1

公开(公告)日：2024-03-28

申请号：US17859670

申请日：2022-07-07

Applicant: Nvidia Corporation

Inventor： Cheng Peng ,  Andriy Myronenko ,  Ali Hatamizsadeh ,  Vishwesh Nath ,  Md Mahfuzur Rahman Siddiquee ,  Yufan He ,  Daguang Xu ,  Dong Yang

IPC: G06N3/04 ,  G06N3/08 ,  G16H30/20

CPC classification number: G06N3/0454 ,  G06N3/08 ,  G16H30/20

Abstract: Apparatuses, systems, and techniques are presented to generate images representing realistic motion or activity. In at least one embodiment, one or more neural networks are used to select a first neural network to perform a first task based, at least in part, upon a performance estimated by a second neural network.

公开(公告)号：US20220076133A1

公开(公告)日：2022-03-10

申请号：US17013432

申请日：2020-09-04

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Ziyue Xu ,  Wenqi Li ,  Andriy Myronenko ,  Holger Reinhard Roth ,  Xiaosong Wang ,  Wentao Zhu ,  Daguang Xu

IPC: G06N3/08 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to facilitate global semi-supervised training of neural networks to perform image segmentation related to diagnosis and management of emerging diseases, such as COVID-19. In at least one embodiment, distributed client training frameworks train one or more client neural networks to perform image segmentation according to a local training data set as well as global neural network data aggregated, by one or more central servers, from each of one or more globally distributed client neural networks.

公开(公告)号：US20210049757A1

公开(公告)日：2021-02-18

申请号：US16540717

申请日：2019-08-14

Applicant: NVIDIA Corporation

Inventor： Wentao Zhu ,  Daguang Xu ,  Andriy Myronenko ,  Ziyue Xu

IPC: G06T7/00 ,  G06T7/33 ,  G06T7/11 ,  G06N3/08 ,  G06F17/50

Abstract: Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.

公开(公告)号：US20240169180A1

公开(公告)日：2024-05-23

申请号：US17990498

申请日：2022-11-18

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Ziyue Xu ,  Ali Hatamizadeh ,  Vishwesh Nath ,  Wenqi Li ,  Andriy Myronenko ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.

公开(公告)号：US20230036451A1

公开(公告)日：2023-02-02

申请号：US17374525

申请日：2021-07-13

Applicant: Nvidia Corporation

Inventor： Ali Hatamizadeh ,  Daguang Xu ,  Dong Yang ,  Holger Reinhard Roth ,  Andriy Myronenko ,  Vishwesh Nath ,  Yucheng Tang

IPC: G06T3/00 ,  G06K9/34 ,  G06K9/00 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more neural networks are used to help generate one or more segmentation boundaries of one or more objects within one or more digital images, wherein the one or more neural networks are to transform one or more representations of one or more portions of the one or more objects into one or more lower-dimensional representations of the one or more portions of the one or more objects.

公开(公告)号：US20230033075A1

公开(公告)日：2023-02-02

申请号：US17374384

申请日：2021-07-13

Applicant: Nvidia Corporation

Inventor： Ziyue Xu ,  Andriy Myronenko ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Xiaosong Wang ,  Daguang Xu

IPC: G06T7/11 ,  G06N3/08 ,  G06N3/04 ,  G06T7/00 ,  G16H30/40 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, boundaries of an object within an image can be identified based, at least in part, on a user-generated outline of only a portion of this object or information about a size of this object provided by a user.