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公开(公告)号：US10885383B2
公开(公告)日：2021-01-05
申请号：US16400429
申请日：2019-05-01
Applicant: NEC Laboratories America, Inc.
Inventor： Kihyuk Sohn , Manmohan Chandraker , Xiang Yu
Abstract: A method for implementing an unsupervised cross-domain distance metric adaptation framework with a feature transfer network for enhancing facial recognition includes recursively training a feature transfer network and automatic labeling of target domain data using a clustering method, and implementing the feature transfer network and the automatic labeling to perform a facial recognition task.
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公开(公告)号：US10853655B2
公开(公告)日：2020-12-01
申请号：US16112040
申请日：2018-08-24
Applicant: NEC Laboratories America, Inc.
Inventor： Kihyuk Sohn , Manmohan Chandraker , Xiang Yu
Abstract: A computer-implemented method, system, and computer program product are provided for activity recognition in a mobile device. The method includes receiving a plurality of unlabeled videos from one or more cameras. The method also includes generating a classified video for each of the plurality of unlabeled videos by classifying an activity in each of the plurality of unlabeled videos. The method additionally includes storing the classified video in a location in a memory designated for videos of the activity in each of the classified videos.
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公开(公告)号：US10796135B2
公开(公告)日：2020-10-06
申请号：US16145608
申请日：2018-09-28
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Xi Yin , Kihyuk Sohn , Manmohan Chandraker
Abstract: A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
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公开(公告)号：US10796134B2
公开(公告)日：2020-10-06
申请号：US16145257
申请日：2018-09-28
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Xi Yin , Kihyuk Sohn , Manmohan Chandraker
Abstract: A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
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205.发明授权公开(公告)号：US10740596B2
公开(公告)日：2020-08-11
申请号：US15803318
申请日：2017-11-03
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Kihyuk Sohn , Manmohan Chandraker
IPC: G06K9/00 , G06K9/62 , G06N3/04 , G06N3/08 , G08B13/196
Abstract: A computer-implemented method, system, and computer program product is provided for video security. The method includes monitoring an area with a camera. The method also includes capturing, by the camera, live video to provide a live video stream. The method additionally includes detecting and identifying, by a processor using a recognition neural network feeding into a Siamese reconstruction network, a user in the live video stream by employing one or more pose-invariant features. The method further includes controlling, by the processor, an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the live video stream.
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Patent Agency Ranking
公开(公告)号：US10740595B2
公开(公告)日：2020-08-11
申请号：US16145578
申请日：2018-09-28
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Xi Yin , Kihyuk Sohn , Manmohan Chandraker
IPC: A61B5/00 , G06K9/00 , G06N3/08 , G06K9/62 , G06Q20/40 , G06Q30/02 , G08B13/196 , G08B15/00 , G06F3/00 , H04N7/18
Abstract: A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
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公开(公告)号：US10733756B2
公开(公告)日：2020-08-04
申请号：US16115620
申请日：2018-08-29
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Samuel Schulter , Tuan Hung Vu , Manmohan Chandraker
Abstract: A computer-implemented method, system, and computer program product are provided for object detection utilizing an online flow guided memory network. The method includes receiving, by a processor, a plurality of videos, each of the plurality of videos including a plurality of frames. The method also includes generating, by the processor with a feature extraction network, a frame feature map for a current frame of the plurality of frames. The method additionally includes determining, by the processor, a memory feature map from the frame feature map and a previous memory feature map from a previous frame by warping the previous memory feature map. The method further includes predicting, by the processor with a task network, an object from the memory feature map. The method also includes controlling an operation of a processor-based machine to react in accordance with the object.
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公开(公告)号：US10706582B2
公开(公告)日：2020-07-07
申请号：US15965480
申请日：2018-04-27
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Shiyu Song
Abstract: Systems and methods are described for multithreaded navigation assistance by acquired with a single camera on-board a vehicle, using 2D-3D correspondences for continuous pose estimation, and combining the pose estimation with 2D-2D epipolar search to replenish 3D points.
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公开(公告)号：US10595037B2
公开(公告)日：2020-03-17
申请号：US15789098
申请日：2017-10-20
Applicant: NEC Laboratories America, Inc.
Inventor： Wongun Choi , Paul Vernaza , Manmohan Chandraker , Namhoon Lee
Abstract: Methods and systems for predicting a trajectory include determining prediction samples for agents in a scene based on a past trajectory. The prediction samples are ranked according to a likelihood score that incorporates interactions between agents and semantic scene context. The prediction samples are iteratively refined using a regression function that accumulates scene context and agent interactions across iterations. A response activity is triggered when the prediction samples satisfy a predetermined condition.
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公开(公告)号：US20200065617A1
公开(公告)日：2020-02-27
申请号：US16515593
申请日：2019-07-18
Applicant: NEC Laboratories America, Inc.
Inventor： Gaurav Sharma , Manmohan Chandraker , Jinwoo Choi
Abstract: A method is provided for unsupervised domain adaptation for video classification. The method learns a transformation for each target video clips taken from a set of target videos, responsive to original features extracted from the target video clips. The transformation corrects differences between a target domain corresponding to target video clips and a source domain corresponding to source video clips taken from a set of source videos. The method adapts the target to the source domain by applying the transformation to the original features extracted to obtain transformed features for the plurality of target video clips. The method converts the original and transformed features of same ones of the target video clips into a single classification feature for each of the target videos. The method classifies a new target video relative to the set of source videos using the single classification feature for each of the target videos.
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