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.

公开(公告)号：US20220301304A1

公开(公告)日：2022-09-22

申请号：US17457408

申请日：2021-12-02

Applicant: QUALCOMM Technologies, Inc.

Inventor： Shreyas HAMPALI ,  Vincent LEPETIT ,  Clemens ARTH

IPC: G06V20/20 ,  G06T7/73 ,  G06V40/10 ,  G06T9/00 ,  G06T7/80 ,  G06T7/50 ,  G06T19/00 ,  G06V10/40 ,  G06V10/82 ,  G06K9/62 ,  G06N3/04

Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

公开(公告)号：US20220156426A1

公开(公告)日：2022-05-19

申请号：US17454020

申请日：2021-11-08

Applicant: QUALCOMM Technologies, Inc.

Inventor： Shreyas HAMPALI ,  Sinisa STEKOVIC ,  Friedrich FRAUNDORFER ,  Vincent LEPETIT

IPC: G06F30/13 ,  G06T17/20 ,  G06T7/55

Abstract: Systems and techniques are provided for determining environmental layouts. For example, based on one or more images of an environment and depth information associated with the one or more images, a set of candidate layouts and a set of candidate objects corresponding to the environment can be detected. The set of candidate layouts and set of candidate objects can be organized as a structured tree. For instance, a structured tree can be generated including nodes corresponding to the set of candidate layouts and the set of candidate objects. A combination of objects and layouts can be selected in the structured tree (e.g., based on a search of the structured tree, such as using a Monte-Carlo Tree Search (MCTS) algorithm or adapted MCTS algorithm). A three-dimensional (3D) layout of the environment can be determined based on the combination of objects and layouts in the structured tree.

公开(公告)号：US20220058872A1

公开(公告)日：2022-02-24

申请号：US17400065

申请日：2021-08-11

Applicant: QUALCOMM Technologies, Inc.

Inventor： Dieter SCHMALSTIEG ,  Markus STEINBERGER ,  Daniel MLAKAR

IPC: G06T17/20 ,  G06T17/10 ,  G06T9/00 ,  G06T15/00

Abstract: The present disclosure relates to methods and apparatus for graphics processing. The apparatus may identify at least one mesh associated with at least one frame. The apparatus may also divide the at least one mesh into a plurality of groups of primitives, each of the plurality of groups of primitives including at least one primitive and a plurality of vertices. The apparatus may also compress the plurality of groups of primitives into a plurality of groups of compressed primitives, the plurality of groups of compressed primitives being associated with random access. Additionally, the apparatus may decompress the plurality of groups of compressed primitives, at least one first group of the plurality of groups of compressed primitives being decompressed in parallel with at least one second group of the plurality of groups of compressed primitives.

公开(公告)号：US20210248504A1

公开(公告)日：2021-08-12

申请号：US17169338

申请日：2021-02-05

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Pim DE HAAN ,  Maurice WEILER ,  Taco Sebastiaan COHEN ,  Max WELLING

IPC: G06N7/00 ,  G06N3/08 ,  G06F17/14

Abstract: Certain aspects of the present disclosure provide a method for performing machine learning, comprising: determining a plurality of vertices in a neighborhood associated with a mesh including a target vertex; determining a linear transformation configured to parallel transport signals along all edges in the mesh to the target vertex; applying the linear transformation to the plurality of vertices in the neighborhood to form a combined signal at the target vertex; determining a set of basis filters; linearly combining the basis filters using a set of learned parameters to form a gauge equivariant convolution filter, wherein the gauge equivariant convolution filter is constrained to maintain gauge equivariance; applying the gauge equivariant convolution filter to the combined signal to form an intermediate output; and applying a nonlinearity to the intermediate output to form a convolution output.

公开(公告)号：US10325351B2

公开(公告)日：2019-06-18

申请号：US15207239

申请日：2016-07-11

Applicant: QUALCOMM Incorporated

Inventor： Mahdi Rad ,  Markus Oberweger ,  Vincent Lepetit

IPC: G06K9/46 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T5/00 ,  G06T5/20 ,  H04N1/60 ,  G06F17/18 ,  G06T15/50

Abstract: A method for normalizing an image by an electronic device is described. The method includes obtaining an image including a target object. The method also includes determining a set of windows of the image. The method further includes, for each window of the set of windows of the image, predicting parameters of an illumination normalization model adapted to the window using a first convolutional neural network (CNN), and applying the illumination normalization model to the window to produce a normalized window.

公开(公告)号：US09639469B2

公开(公告)日：2017-05-02

申请号：US13941483

申请日：2013-07-13

Applicant: Laurent Moll ,  Jean-Jacques Lecler ,  Jonah Proujansky-Bell

Inventor： Laurent Moll ,  Jean-Jacques Lecler ,  Jonah Proujansky-Bell

IPC: G06F12/08 ,  G06F12/0831

CPC classification number: G06F12/0831

Abstract: A coherency controller with a data buffer store that is smaller than the volume of pending read data requests. Data buffers are allocated only for requests that match the ID of another pending request. Buffers are deallocated if all snoops receive responses, none of which contain data. Buffers containing clean data have their data discarded and are reallocated to later requests. The discarded data is later read from the target. When all buffers are full of dirty data requests with a pending order ID are shunted into request queues for later service. Dirty data may be foisted onto coherent agents to make buffers available for reallocation. Accordingly, the coherency controller can issue snoops and target requests for a volume of data that exceeds the number of buffers in the data store.

公开(公告)号：US09563560B2

公开(公告)日：2017-02-07

申请号：US13938675

申请日：2013-07-10

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Laurent Moll ,  Jean-Jacques Lecler

IPC: G06F12/08

CPC classification number: G06F12/0831 ,  G06F12/0833

Abstract: A coherency controller, such as one used within a system-on-chip, is capable of issuing different types of snoops to coherent caches. The coherency controller chooses the type of snoop based on the type of request that caused the snoops or the state of the system or both. By so doing, coherent caches provide data when they have sufficient throughput, and are not required to provide data when they do not have insufficient throughput.

Abstract translation: 一个一致性控制器（例如在片上系统中使用的控制器）能够向相干缓存发出不同类型的监听。 一致性控制器根据引起窥探或系统状态或两者的请求的类型选择窥探的类型。 通过这样做，一致的高速缓存在它们具有足够的吞吐量时提供数据，并且当它们没有足够的吞吐量时不需要提供数据。

公开(公告)号：US09503222B2

公开(公告)日：2016-11-22

申请号：US13708715

申请日：2012-12-07

Applicant: Arteris SAS

Inventor： Philippe Martin ,  Jonah Probell ,  Jean-Jacques Lecler

IPC: H04L1/00 ,  G06F11/08 ,  H03M13/00 ,  H03M13/25 ,  H04N7/173 ,  H04L1/18

CPC classification number: H04L1/1809 ,  H04L1/0061

Abstract: A first frame and a second frame are combined into an extended frame. The extended frame is encapsulated and transmitted over a channel as an extended physical digital. A transmission error notification is received, indicating error in a reception of the transmitted extended physical digital. In response, a re-transmission encapsulates the first frame into a first physical digit, transmits the first physical digit over the channel, encapsulates the second frame into a second physical digit, and transmits the second physical digit over the channel.

Abstract translation: 第一帧和第二帧被组合成一个扩展帧。 扩展帧被封装并通过通道作为扩展物理数字传输。 接收到发送错误通知，指示发送的扩展物理数字的接收中的错误。 作为响应，重新传输将第一帧封装成第一物理数字，通过信道发送第一物理数字，将第二帧封装成第二物理数字，并通过信道发送第二物理数字。

公开(公告)号：US09391607B2

公开(公告)日：2016-07-12

申请号：US12987008

申请日：2011-01-07

Applicant: Ashutosh Ravindra Joharapurkar ,  Patrick Chan ,  David L. Allen ,  Natarajan Viswanathan

Inventor： Ashutosh Ravindra Joharapurkar ,  Patrick Chan ,  David L. Allen ,  Natarajan Viswanathan

IPC: G06F3/044 ,  H03K17/96 ,  G06F3/041

CPC classification number: G06F3/0418 ,  G06F3/0412 ,  G06F3/044 ,  H03K17/96 ,  H03K17/962 ,  H03K2217/96062

Abstract: Random sampling techniques include techniques for reducing or eliminating errors in the output of capacitive sensor arrays such as touch panels. The channels of the touch panel are periodically sampled to determine the presence of one or more touch events. Each channel is individually sampled in a round robin fashion, referred to as a sampling cycle. During each sampling cycle, all channels are sampled once. Multiple sampling cycles are performed such that each channel is sampled multiple times. Random sampling techniques are used to sample each of the channels. One random sampling technique randomizes a starting channel in each sampling cycle. Another random sampling technique randomizes the selection of all channels in each sampling cycle. Yet another random sampling technique randomizes the sampling cycle delay period between each sampling cycle. Still another random sampling technique randomizes the channel delay period between sampling each channel.

Abstract translation: 随机采样技术包括用于减少或消除诸如触摸面板的电容式传感器阵列的输出中的误差的技术。 周期性地对触摸面板的通道进行采样，以确定是否存在一个或多个触摸事件。 每个通道以循环方式单独采样，称为采样周期。 在每个采样周期期间，所有通道都被采样一次。 执行多个采样周期，使得每个通道被多次采样。 随机采样技术用于对每个通道进行采样。 一个随机采样技术将每个采样周期中的起始通道随机化。 另一种随机采样技术随机化了每个采样周期中所有信道的选择。 另一种随机抽样技术使每个采样周期之间的采样周期延迟周期随机化。 另一种随机采样技术使每个通道采样之间的通道延迟周期随机化。