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    POSE-VARIANT 3D FACIAL ATTRIBUTE GENERATION
    161.
    发明申请
    POSE-VARIANT 3D FACIAL ATTRIBUTE GENERATION 审中-公开

    公开(公告)号：US20200151940A1

    公开(公告)日：2020-05-14

    申请号：US16673256

    申请日：2019-11-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xiang Yu ,  Feng-Ju Chang ,  Manmohan Chandraker

    IPC: G06T15/04 ,  G06T15/00 ,  G06K9/00

    Abstract: A system is provided for pose-variant 3D facial attribute generation. A first stage has a hardware processor based 3D regression network for directly generating a space position map for a 3D shape and a camera perspective matrix from a single input image of a face and further having a rendering layer for rendering a partial texture map of the single input image based on the space position map and the camera perspective matrix. A second stage has a hardware processor based two-part stacked Generative Adversarial Network (GAN) including a Texture Completion GAN (TC-GAN) stacked with a 3D Attribute generation GAN (3DA-GAN). The TC-GAN completes the partial texture map to form a complete texture map based on the partial texture map and the space position map. The 3DA-GAN generates a target facial attribute for the single input image based on the complete texture map and the space position map.

    DOMAIN ADAPTATION FOR INSTANCE DETECTION AND SEGMENTATION
    163.
    发明申请
    DOMAIN ADAPTATION FOR INSTANCE DETECTION AND SEGMENTATION 审中-公开

    公开(公告)号：US20200082221A1

    公开(公告)日：2020-03-12

    申请号：US16535681

    申请日：2019-08-08

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi-Hsuan Tsai ,  Kihyuk Sohn ,  Buyu Liu ,  Manmohan Chandraker ,  Jong-Chyi Su

    IPC: G06K9/62 ,  G06T7/11

    Abstract: Systems and methods for domain adaptation are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.

    Video retrieval system based on larger pose face frontalization
    164.
    发明授权
    Video retrieval system based on larger pose face frontalization 有权

    公开(公告)号：US10474881B2

    公开(公告)日：2019-11-12

    申请号：US15888693

    申请日：2018-02-05

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xiang Yu ,  Kihyuk Sohn ,  Manmohan Chandraker

    IPC: G06K9/00 ,  G06T19/20 ,  G06K9/46 ,  G06K9/62 ,  G06F16/71 ,  G06F16/74 ,  G06F16/783

    Abstract: A video retrieval system is provided that includes a server for retrieving video sequences from a remote database responsive to a text specifying a face recognition result as an identity of a subject of an input image. The face recognition result is determined by a processor of the server, which estimates, using a 3DMM conditioned Generative Adversarial Network, 3DMM coefficients for the subject of the input image. The subject varies from an ideal front pose. The processor produces a synthetic frontal face image of the subject of the input image based on the input image and coefficients. An area spanning the frontal face of the subject is made larger in the synthetic than in the input image. The processor provides a decision of whether the synthetic image subject is an actual person and provides the identity of the subject in the input image based on the synthetic and input images.

    Liveness detection for antispoof face recognition
    166.
    发明授权
    Liveness detection for antispoof face recognition 有权

    公开(公告)号：US10289822B2

    公开(公告)日：2019-05-14

    申请号：US15637264

    申请日：2017-06-29

    Applicant: NEC Laboratories America, Inc. ,  NEC Hong Kong Limited

    Inventor： Manmohan Chandraker ,  Xiang Yu ,  Eric Lau ,  Elsa Wong

    IPC: G06K9/00 ,  G06F21/32 ,  G06N20/00 ,  G06N99/00 ,  G07C9/00 ,  H04L29/06 ,  G06F21/62 ,  G06K9/46 ,  G06K9/66

    Abstract: A face recognition system and corresponding method are provided. The face recognition system includes a camera configured to capture an input image of a subject purported to be a person. The face recognition system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The face recognition system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

    VIDEO REPRESENTATION OF FIRST-PERSON VIDEOS FOR ACTIVITY RECOGNITION WITHOUT LABELS
    167.
    发明申请
    VIDEO REPRESENTATION OF FIRST-PERSON VIDEOS FOR ACTIVITY RECOGNITION WITHOUT LABELS 审中-公开

    公开(公告)号：US20190138811A1

    公开(公告)日：2019-05-09

    申请号：US16111298

    申请日：2018-08-24

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kihyuk Sohn ,  Manmohan Chandraker ,  Xiang Yu

    IPC: G06K9/00 ,  G06K9/62

    Abstract: A computer-implemented method, system, and computer program product are provided for activity recognition. The method includes receiving, by a processor, a plurality of videos, the plurality of videos including labeled videos and unlabeled videos. The method also includes extracting, by the processor with a feature extraction convolutional neural network (CNN), frame features for frames from each of the plurality of videos. The method additionally includes estimating, by the processor with a feature aggregation system, a vector representation for one of the plurality of videos responsive to the frame features. The method further includes classifying, by the processor, an activity from the vector representation. The method also includes controlling an operation of a processor-based machine to react in accordance with the activity.

    Autonomous Vehicle Utilizing Pose Estimation
    169.
    发明申请
    Autonomous Vehicle Utilizing Pose Estimation 审中-公开

    公开(公告)号：US20190063932A1

    公开(公告)日：2019-02-28

    申请号：US16100462

    申请日：2018-08-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Quoc-Huy Tran ,  Manmohan Chandraker ,  Hyo Jin Kim

    IPC: G01C21/32 ,  G05D1/00 ,  G06T7/73 ,  G06N3/08 ,  G06N5/04 ,  G06F17/30

    Abstract: A computer-implemented method, system, and computer program product are provided for a guidance control system utilizing pose estimation in an autonomous vehicle. The method includes receiving, by a pose estimation system, a plurality of images from one or more cameras. The method also includes predicting, by the pose estimation system, a pose from the score map and a combined feature map, the combined feature map correlated from a pair of the plurality of images. The method additionally includes moving, by a propulsion system, the autonomous vehicle responsive to the pose.

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