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    Face spoofing detection using a physical-cue-guided multi-source multi-channel framework
    132.
    发明授权
    Face spoofing detection using a physical-cue-guided multi-source multi-channel framework 有权

    公开(公告)号：US11250282B2

    公开(公告)日：2022-02-15

    申请号：US17091140

    申请日：2020-11-06

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xiang Yu ,  Buyu Liu ,  Manmohan Chandraker ,  Junru Wu

    IPC: G06K9/00 ,  G06N3/04

    Abstract: A computer-implemented method for implementing face spoofing detection using a physical-cue-guided multi-source multi-channel framework includes receiving a set of data including face recognition data, liveness data and material data associated with at least one face image, obtaining a shared feature from the set of data using a backbone neural network structure, performing, based on the shared feature, a pretext task corresponding to face recognition, a first proxy task corresponding to depth estimation, a liveness detection task, and a second proxy task corresponding to material prediction, and aggregating outputs of the pretext task, the first proxy task, the liveness detection task and the second proxy task using an attention mechanism to boost face spoofing detection performance.

    Online face clustering
    133.
    发明授权
    Online face clustering 有权

    公开(公告)号：US11250244B2

    公开(公告)日：2022-02-15

    申请号：US16814453

    申请日：2020-03-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Debayan Deb

    IPC: G06K9/00 ,  G06K9/62

    Abstract: Methods and systems for image clustering include matching a new image to a representative image of a cluster. The new image is set as a representative of the cluster with a first time limit. The new image is set as a representative of the cluster with a second time limit, responsive to a determination that the new image has matched at least one incoming image during the first time limit.

    Person search system based on multiple deep learning models
    134.
    发明授权
    Person search system based on multiple deep learning models 有权

    公开(公告)号：US11250243B2

    公开(公告)日：2022-02-15

    申请号：US16808983

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Giuseppe Coviello ,  Biplob Debnath ,  Srimat Chakradhar

    IPC: G06K9/00 ,  G06F16/9038

    Abstract: A computer-implemented method executed by at least one processor for person identification is presented. The method includes employing one or more cameras to receive a video stream including a plurality of frames to extract features therefrom, detecting, via an object detection model, objects within the plurality of frames, detecting, via a key point detection model, persons within the plurality of frames, detecting, via a color detection model, color of clothing worn by the persons, detecting, via a gender and age detection model, an age and a gender of the persons, establishing a spatial connection between the objects and the persons, storing the features in a feature database, each feature associated with a confidence value, and normalizing, via a ranking component, the confidence values of each of the features.

    Usecase specification and runtime execution
    135.
    发明授权
    Usecase specification and runtime execution 有权

    公开(公告)号：US11249803B2

    公开(公告)日：2022-02-15

    申请号：US16809154

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Kunal Rao ,  Srimat Chakradhar ,  Giuseppe Coviello ,  Min Feng ,  Murugan Sankaradas

    IPC: G06F9/48 ,  G06F9/46

    Abstract: A computer-implemented method includes obtaining a usecase specification and a usecase runtime specification corresponding to the usecase. The usecase includes a plurality of applications each being associated with a micro-service providing a corresponding functionality within the usecase for performing a task. The method further includes determining that at least one instance of the at least one of the plurality of applications can be reused during execution of the usecase based on the usecase specification and the usecase runtime specification, and reusing the at least one instance during execution of the usecase.

    Attention and warping based domain adaptation for videos
    136.
    发明授权
    Attention and warping based domain adaptation for videos 有权

    公开(公告)号：US11222210B2

    公开(公告)日：2022-01-11

    申请号：US16673156

    申请日：2019-11-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Gaurav Sharma ,  Manmohan Chandraker

    IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08

    Abstract: A computer-implemented method is provided for domain adaptation between a source domain and a target domain. The method includes applying, by a hardware processor, an attention network to features extracted from images included in the source and target domains to provide attended features relating to a given task to be domain adapted between the source and target domains. The method further includes applying, by the hardware processor, a deformation network to at least some of the attended features to align the attended features between the source and target domains using warping to provide attended and warped features. The method also includes training, by the hardware processor, a target domain classifier using the images from the source domain. The method additionally includes classifying, by the hardware processor using the trained target domain classifier, at least one image from the target domain.

    Multi-scale text filter conditioned generative adversarial networks
    139.
    发明授权
    Multi-scale text filter conditioned generative adversarial networks 有权

    公开(公告)号：US11170256B2

    公开(公告)日：2021-11-09

    申请号：US16577337

    申请日：2019-09-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Bing Bai ,  Yogesh Balaji

    IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06F40/279

    Abstract: Systems and methods for processing video are provided. The method includes receiving a text-based description of active scenes and representing the text-based description as a word embedding matrix. The method includes using a text encoder implemented by neural network to output frame level textual representation and video level representation of the word embedding matrix. The method also includes generating, by a shared generator, frame by frame video based on the frame level textual representation, the video level representation and noise vectors. A frame level and a video level convolutional filter of a video discriminator are generated to classify frames and video of the frame by frame video as true or false. The method also includes training a conditional video generator that includes the text encoder, the video discriminator, and the shared generator in a generative adversarial network to convergence.

    Anomalous account detection from transaction data
    140.
    发明授权
    Anomalous account detection from transaction data 有权

    公开(公告)号：US11169865B2

    公开(公告)日：2021-11-09

    申请号：US16562755

    申请日：2019-09-06

    Applicant: NEC Laboratories America, Inc.

    Inventor： Haifeng Chen ,  Bo Zong ,  Wei Cheng ,  LuAn Tang ,  Jingchao Ni

    IPC: G06F11/07 ,  G06N3/08 ,  G06N20/10 ,  G06K9/62

    Abstract: Systems and methods for implementing heterogeneous feature integration for device behavior analysis (HFIDBA) are provided. The method includes representing each of multiple devices as a sequence of vectors for communications and as a separate vector for a device profile. The method also includes extracting static features, temporal features, and deep embedded features from the sequence of vectors to represent behavior of each device. The method further includes determining, by a processor device, a status of a device based on vector representations of each of the multiple devices.

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