Future Wei Technologies, Inc.

Mediatek Singapore Pte. Ltd.

International Business Machines Corporation

Apple Inc.

Mediatek Corporation

Omnivision Technologies, Inc.

A 10 Networks, Incorporated

Quantum-si Incorporated

Salesforce.com, Inc.

Globalfoundries Inc.

Western Digital Technologies, Inc.

Cisco Technology, Inc.

At&t Intellectual Property I, L.p.

Jiangsu University

Myriad Genetics, Inc.

Xin Ru Wang

Lulin Chen

Shaobo Zhang

Yongliang Liu

Dajiang Yang

Alexander Giladi

Lee Chen

John Chiong

Wang Lin Lai

Duli Mao

Shan Liu

Jerome Rene Bellegarda

Stephen Olivier Lemay

Patrick L Coffman

Christopher Patrick Foss

Lawrence Yuan Yang

Richard R Dellinger

Gaurav Kapoor

Cyrus Daniel Irani

Alexandre F Carlhian

Yanfeng Wang

Giulia Maria Pagallo

Daniel C Gross

Michael R Siracusa

Dechao Guo

Dyson Hsinchih Tai

Gan Wang

Todd Rearick

Wilfried Haensch

Eric A G Webster

Xin Liu

Gerard M Schmid

Rui Wang

Keiji Mabuchi

Ali Kabiri

Bill Phan

Peiyun Di

Kyle Preston

Keith Kwong Hon Wong

Robert Russell Robison

Sree Ram Kodali

Viorel C Ontalus

Yanning Liu

Jian Zhang

Chen-Wei Lu

Qin Wang

Oray Orkun Cellek

Vijay Kumar Ramamurthi

Adrian Dieter Rapp

Jeffrey P Gambino

Srinivasan Nimmala

Vijay Venkataraman

Wei Zhang

Craig Michael Federighi

Zhong-Xiang He

Johnson O Sebeni

Longda Xing

Jianxiong Shi

Sethuraman Gurumoorthy

Srirang Ashok Lovlekar

Zhu Ji

Gang Chen

Grant R Paul

Behkish J Manzari

Beibei Wang

Raynold M Kahn

Lakshmi N Kavuri

Sami M Almalfouh

Nathan De Vries

Fen Chen

Hao Pan

Xinwen Zhang

Min Liu

Chuang Gan

Philip Joseph Oldiges

Venkateswara Rao Manepalli

Yunyao Li

Ryan S Dixon

Haoping Yu

Dakuo Wang

Yifan Zhu

Vignesh Jagadeesh

Duc T Phan

Timothy A Ferris

Darsen D Lu

Brian Reed

Ozgur Ekici

Shang-Hung Lin

Karthik Anantharaman

Marco Zuliani

Wang-Lin Lai

Charles Qingle Wu

Liang Zuo

James Nicholas Jones

Srinivas Burugupalli

Jeffrey A Brasket

Bronwyn Anne Jones

Tiejun Huang

Yufang Hou

Dean V Dang

Some aspects relate to integrated devices for obtaining timing and/or spectral information from incident light. In some embodiments, a pixel may include one or more charge storage regions configured to receive charge carriers generated responsive to incident photons from a light source, with charge carriers stored in the charge storage region(s) indicative of spectral and timing information. In some embodiments, a pixel may include regions having different depths, each configured to generate charge carriers responsive to incident photons. In some embodiments, a pixel may include multiple charge storage regions having different depths, and one or more of the charge storage regions may be configured to receive the incident photons and generate charge carriers therein. In some embodiments, a pixel may include an optical sorting element configured to direct at least some incident photons to one charge storage region and other incident photons to another charge storage region.

Sensor for lifetime plus spectral characterization

Aspects of the technology described herein relate to improved semiconductor-based image sensor designs. In some embodiments, an integrated circuit may comprise a photodetection region and a drain region electrically coupled to the photodetection region, and the photodetection region may be configured to induce an intrinsic electric field in a direction from the photodetection region to the drain region(s). In some embodiments, a charge storage region and the drain region may be positioned on a same side of the photodetection region. In some embodiments, at least one drain layer may be configured to receive incident photons and/or charge carriers via the photodetection region. In some embodiments, an integrated circuit may comprise a plurality of pixels and a control circuit configured to control a transfer of charge carriers in the plurality of pixels.

Integrated sensor for lifetime characterization

The techniques described herein relate to methods, apparatus, and computer readable media configured to encode and/or decode video data. Immersive media data includes a set of one or more tracks, each track comprising associated immersive media data corresponding to an associated spatial portion of immersive media content and metadata specifying a six degree of freedom (6DoF) viewing region in the immersive media content, wherein the metadata comprises viewing region type data indicating a type of the viewing region. An encoding and/or decoding operation is performed based on the set of one or more tracks and the viewing region metadata to generate encoded and/or decoded immersive media data. The viewing region type data can be specified by a data structure attribute of the metadata specifying a viewing region and/or by an attribute of the metadata specifying a viewing region.

Methods and apparatus for signaling viewing regions of various types in immersive media

The techniques described herein relate to methods, apparatus, and computer readable media configured to accessing multimedia data that includes a plurality of media tracks that each include an associated series of samples of media data, and a derived track comprising a set of derivation operations to perform to generate a series of samples of media data for the derived track. A derivation operation of the set is performed to generate a portion of media data for the derived track, which includes: determining, based on the derivation operation, a group of media tracks from the plurality by determining each media track in the group meets a grouping criteria, selecting one media track from the group of media tracks, and adding a sample from the one media track to the derived track to generate the portion of the derived track.

Methods and apparatus for selecting and switching input video tracks using track derivations

The techniques described herein relate to methods, apparatus, and computer readable media configured to access media data for a first three-dimensional (3D) immersive media experience including media tracks each including an associated series of samples of media data for a different component of the first 3D immersive media experience and derived immersive tracks, each comprising a set of derivation operations to perform to generate an associated series of samples of media data for a different component of a second 3D immersive media experience and perform, for each of the one or more derived immersive tracks, a derivation operation of the set of derivation operations by processing associated samples of the one or more media tracks as specified by the derivation operation to generate the associated series of samples of media data of the second 3D immersive media experience.

Methods and systems for derived immersive tracks

Methods, systems, and computer program products for cooperative neural networks with spatial containment constraints are provided herein. A computer-implemented method includes dividing a processing task into multiple sub-tasks; training multiple independent neural networks, such that at least some of the multiple sub-tasks correspond to different ones of the multiple independent neural networks; defining, via implementing constraint-based domain knowledge related to the processing task in connection with the multiple independent neural networks, a constraint loss for a given one of the multiple sub-tasks, the constraint loss being dependent on output from at least one of the other multiple sub-tasks; and effecting re-training of at least a portion of the multiple independent neural networks by incorporating the constraint loss into at least one of the multiple independent neural networks.

Cooperative neural networks with spatial containment constraints

Methods, systems, and computer program products for vision-based cell structure recognition using hierarchical neural networks and cell boundaries to structure clustering are provided herein. A computer-implemented method includes detecting a style of the given table using at least one style classification model; selecting, based at least in part on the detected style, a cell detection model appropriate for the detected style; detecting cells within the given table using the selected cell detection model; and outputting, to at least one user, information pertaining to the detected cells comprising image coordinates of one or more bounding boxes associated with the detected cells.

Vision-based cell structure recognition using hierarchical neural networks and cell boundaries to structure clustering

A pressure-resistant hull for a submersible, includes unit hulls, reinforcing ribs, connecting channels, and closure heads. A plurality of unit hulls are provided, and are sequentially strung together spiralling upward or spiralling downward, the closure heads being arranged on the unit hulls at the first position and the last position respectively, an observation window being provided on each unit hull respectively, adjacent two unit hulls in a horizontal direction being respectively connected by means of a reinforcing rib, and at least two connecting channels being provided between adjacent two rings of the unit hulls in the vertical direction. The design method includes using a spiral joining structure to facilitate organic adjustment of the number of unit hulls, thus having better utilization of space and aiding to greatly expand the space. The sensitivity of the limit load to defects is low, increasing axial rigidity, improving the overall pressure-resistive ability.

Pressure-resistant hull for a submersible and design method therefor

Some aspects relate to an integrated circuit, comprising at least one photodetection region configured to generate charge carriers responsive to incident photons emitted from a sample, at least one charge storage region configured to receive the charge carriers from the photodetection region, and at least one controller configured to obtain information about the incident photons, the information comprising at least one member selected from the group comprising pulse duration and interpulse duration and at least one member selected from the group comprising wavelength information, luminescence lifetime information, and intensity information. In some embodiments, the information comprises at least three, four, and/or five members selected from the group comprising wavelength information, luminescence lifetime information, intensity information, pulse duration information, and interpulse duration information. In some embodiments, the information obtained may be used to identify the sample.

Integrated sensor for multi-dimensional signal analysis

An imaging device includes groupings of photodiodes having four photodiodes. A transfer transistor is between each photodiode and a floating diffusion. Each floating diffusion is coupled to up to two photodiodes per grouping at a time through transfer transistors. A buffer transistor is coupled to each floating diffusion. The buffer transistors may be in a first or second grouping of buffer transistors. A first bit line is coupled to up to two buffer transistors of the first grouping and a second bit line is coupled to up to two buffer transistors of the second grouping of buffer transistors at a time. A color filter array including a plurality of groupings of color filters is disposed over respective photodiodes of the photodiode array, wherein each grouping of color filters includes four color filters having a same color, wherein each grouping of color filters overlaps two groupings of photodiodes.

Image sensor with shifted color filter array pattern and bit line pairs

The techniques described herein relate to methods, apparatus, and computer readable media configured to access multimedia data comprising a hierarchical track structure comprising at least a first track at a first level of the hierarchical track structure comprising first media data, wherein the first media data comprises a first sequence of video media units, and a second track at a second level in the hierarchical track structure different than the first level of the first track, the second track comprising metadata specifying a re-timing derivation operation. Output video media units are generated according to the second track, comprising performing the re-timing derivation operation on the first sequence of video media units to modify a timing of the first sequence of video media units by removing one or more video media units associated with the re-timing derivation operation and/or shifting timing information of the first sequence of video media units.

Methods and apparatus for re-timing and scaling input video tracks

A computer system, product, and method are provided to utilize machine learning to facilitate document processing. A document collection is introduced to an artificial neural network (ANN), which subjects the document collection to table region identification within discretized contiguous areas. The documents are assigned to one or more clusters responsive to the leveraged ANN. Documents are selectively evaluated from the clusters, and one or more label corrections are applied to the ANN. The ANN generates an updated document collection incorporating the applied one or more label corrections.

Interactive structure annotation with artificial intelligence

The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described.

User interfaces for managing visual content in media

The techniques described herein relate to methods, apparatus, and computer readable media configured to perform media processing tasks. A media processing entity includes a processor in communication with a memory, wherein the memory stores computer-readable instructions that, when executed by the processor, cause the processor to perform receiving, from a remote computing device, multi-view multimedia data comprising a hierarchical track structure comprising at least a first track comprising first media data at a first level of the hierarchical track structure, and a second track comprising task instruction data at a second level in the hierarchical track structure that is different than the first level of the first track. The instructions further cause the processor to perform processing the first media data of the first track based on the task instruction data of the second track to generate modified media data and an output track that includes the modified media data.

Methods and apparatus for using track derivations to generate new tracks for network based media processing applications

Aspects of the present disclosure relate to techniques for reducing skew in an integrated device, such as a CMOS imaging device. In some aspects, multiple pixels of an integrated circuit may be configured to receive a same control signal and conduct charge carriers responsive to the control signal substantially at the same time. In some aspects, an integrated circuit may have modulated charge transfer channel voltage thresholds, such as by having different charge transfer channel lengths, and/or a doped portion configured to set a voltage threshold for charge transfer. In some aspects, an integrated circuit may have a via structure having a plurality of vias extending between continuous portions of at least two metal layers. In some aspects, an integrated circuit may include a row of pixels and a voltage source configured to provide a voltage to bias a semiconductor substrate of the integrated circuit along the row of pixels.

Integrated sensor with reduced skew

Growing community of inventors

San Jose, CA, United States of America

Xin Ru Wang