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公开(公告)号：US11610436B2
公开(公告)日：2023-03-21
申请号：US17197431
申请日：2021-03-10
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Srimat Chakradhar
Abstract: Methods and systems for face recognition and response include extracting a face image from a video stream. A pre-processed index is searched for a watchlist image that matches the face image, based on a similarity distance that is computed from a normalized similarity score to satisfy metric properties. The index of the watchlist includes similarity distances between face images stored in the watchlist. An action is performed responsive to a determination that the extracted face image matches the watchlist image.
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公开(公告)号：US20230073055A1
公开(公告)日：2023-03-09
申请号：US17903383
申请日：2022-09-06
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Sparsh Garg , Manmohan Chandraker , Samuel Shulter , Vijay Kumar Baikampady Gopalkrishna
IPC: G06T7/11
Abstract: A computer-implemented method for rut detection is provided. The method includes detecting, by a rut detection system, areas in a road-scene image that include ruts with pixel-wise probability values, wherein a higher value indicates a better chance of being a rut. The method further includes performing at least one of rut repair and vehicle rut avoidance responsive to the pixel-wise probability values. The detecting step includes performing neural network-based, pixel-wise semantic segmentation with context information on the road-scene image to distinguish rut pixels from non-rut pixels on a road depicted in the road-scene image.
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公开(公告)号：US11600113B2
公开(公告)日：2023-03-07
申请号：US17091066
申请日：2020-11-06
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Manmohan Chandraker , Kihyuk Sohn , Aruni RoyChowdhury
Abstract: A computer-implemented method for implementing face recognition includes obtaining a face recognition model trained on labeled face data, separating, using a mixture of probability distributions, a plurality of unlabeled faces corresponding to unlabeled face data into a set of one or more overlapping unlabeled faces that include overlapping identities to those in the labeled face data and a set of one or more disjoint unlabeled faces that include disjoint identities to those in the labeled face data, clustering the one or more disjoint unlabeled faces using a graph convolutional network to generate one or more cluster assignments, generating a clustering uncertainty associated with the one or more cluster assignments, and retraining the face recognition model on the labeled face data and the unlabeled face data to improve face recognition performance by incorporating the clustering uncertainty.
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公开(公告)号：US20230048581A1
公开(公告)日：2023-02-16
申请号：US17885115
申请日：2022-08-10
Applicant: NEC Laboratories America, Inc.
Inventor： Giuseppe Coviello , Kunal Rao , Murugan Sankaradas , Srimat Chakradhar
IPC: G06F9/54
Abstract: Methods and systems for executing an application include extending a container orchestration system application programming interface (API) to handle objects that specify components of an application. An application representation is executed using the extended container orchestration system API, including the instantiation of one or more services that define a data stream path from a sensor to a device.
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公开(公告)号：US11580780B2
公开(公告)日：2023-02-14
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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Patent Agency Ranking
56.发明授权公开(公告)号：US11562646B2
公开(公告)日：2023-01-24
申请号：US17221836
申请日：2021-04-04
Applicant: NEC Laboratories America, Inc.
Inventor： Yuheng Chen , Ming-Fang Huang , Ting Wang , Jingnan Zhao
Abstract: An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.
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公开(公告)号：US11543561B2
公开(公告)日：2023-01-03
申请号：US16665307
申请日：2019-10-28
Applicant: NEC Laboratories America, Inc.
Inventor： Masanao Natsumeda , Haifeng Chen
Abstract: Methods and systems for preventing spacecraft damage include identifying a space weather event that corresponds to a spacecraft system failure. A spacecraft system is determined that causes the spacecraft system failure, triggered by the space weather event. A corrective action is performed on the determined spacecraft system to prevent spacecraft system failures from being triggered by future space weather events.
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公开(公告)号：US11538143B2
公开(公告)日：2022-12-27
申请号：US16662659
申请日：2019-10-24
Applicant: NEC Laboratories America, Inc.
Inventor： Dongjin Song , Yuncong Chen , Haifeng Chen , Xinyang Feng
Abstract: Systems and methods for detecting anomaly in video data are provided. The system includes a generator that receives past video frames and extracts spatio-temporal features of the past video frames and generates frames. The generator includes fully convolutional transformer based generative adversarial networks (FCT-GANs). The system includes an image discriminator that discriminates generated frames and real frames. The system also includes a video discriminator that discriminates generated video and real video. The generator trains a fully convolutional transformer network (FCTN) model and determines an anomaly score of at least one test video based on a prediction residual map from the FCTN model.
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公开(公告)号：US11520981B2
公开(公告)日：2022-12-06
申请号：US16787774
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: A method detects anomalies in a system having sensors for collecting multivariate sensor data including discrete event sequences. The method determines, using a NMT model, pairwise relationships among the sensors based on the data. The method forms sequences of characters into sentences on a per sensor basis, by treating each discrete variable in the sequences as a character in natural language. The method translates, using the NMT, the sentences of source sensors to sentences of target sensors to obtain a translation score that quantifies a pairwise relationship strength therebetween. The method aggregates the pairwise relationships into a multivariate relationship graph having nodes representing sensors and edges denoted by the translation score for a sensor pair connected thereto to represent the pairwise relationship strength therebetween. The method performs a corrective action to correct an anomaly responsive to a detection of the anomaly relating to the sensor pair.
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公开(公告)号：US20220383108A1
公开(公告)日：2022-12-01
申请号：US17728071
申请日：2022-04-25
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Dongkuan Xu , Haifeng Chen
IPC: G06N3/08
Abstract: A method for performing contrastive learning for graph tasks and datasets by employing an information-aware graph contrastive learning framework is presented. The method includes obtaining two semantically similar views of a graph coupled with a label for training by employing a view augmentation component, feeding the two semantically similar views into respective encoder networks to extract latent representations preserving both structure and attribute information in the two views, optimizing a contrastive loss based on a contrastive mode by maximizing feature consistency between the latent representations, training a neural network with the optimized contrastive loss, and predicting a new graph label or a new node label in the graph.
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