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公开(公告)号：US20240037186A1
公开(公告)日：2024-02-01
申请号：US18484826
申请日：2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Xiang Yu , Bingbing Zhuang , Manmohan Chandraker , Donghyun Kim
IPC: G06F18/213 , G06N3/08 , G06V10/75 , G06F18/22 , G06F18/214
CPC classification number: G06F18/213 , G06N3/08 , G06V10/751 , G06F18/22 , G06F18/2155
Abstract: Video methods and systems include extracting features of a first modality and a second modality from a labeled first training dataset in a first domain and an unlabeled second training dataset in a second domain. A video analysis model is trained using contrastive learning on the extracted features, including optimization of a loss function that includes a cross-domain regularization part and a cross-modality regularization part.
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公开(公告)号：US20220147735A1
公开(公告)日：2022-05-12
申请号：US17519986
申请日：2021-11-05
Applicant: NEC Laboratories America, Inc.
Inventor： Yumin Suh , Xiang Yu , Yi-Hsuan Tsai , Masoud Faraki , Manmohan Chandraker
Abstract: A method for employing facial information in unsupervised person re-identification is presented. The method includes extracting, by a body feature extractor, body features from a first data stream, extracting, by a head feature extractor, head features from a second data stream, outputting a body descriptor vector from the body feature extractor, outputting a head descriptor vector from the head feature extractor, and concatenating the body descriptor vector and the head descriptor vector to enable a model to generate a descriptor vector.
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公开(公告)号：US20210142043A1
公开(公告)日：2021-05-13
申请号：US17091011
申请日：2020-11-06
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Manmohan Chandraker , Kihyuk Sohn , Yichun Shi
Abstract: A computer-implemented method for implementing face recognition includes receiving training data including a plurality of augmented images each corresponding to a respective one of a plurality of input images augmented by one of a plurality of variations, splitting a feature embedding generated from the training data into a plurality of sub-embeddings each associated with one of the plurality of variations, associating each of the plurality of sub-embeddings with respective ones of a plurality of confidence values, and applying a plurality of losses including a confidence-aware identification loss and a variation-decorrelation loss to the plurality of sub-embeddings and the plurality of confidence values to improve face recognition performance by learning the plurality of sub-embeddings.
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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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Patent Agency Ranking
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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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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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：US20190354801A1
公开(公告)日：2019-11-21
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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