公开(公告)号：US20210294993A1

公开(公告)日：2021-09-23

申请号：US17202854

申请日：2021-03-16

Applicant: NEC Laboratories America, Inc.

Inventor： Karthikeyan Sundaresan ,  Eugene Chai ,  Sampath Rangarajan ,  Mohammad Rostami

IPC: G06K7/10

Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.

公开(公告)号：US20210279845A1

公开(公告)日：2021-09-09

申请号：US17182685

申请日：2021-02-23

Applicant: NEC Laboratories America, Inc.

Inventor： Min Feng ,  Srimat Chakradhar ,  Alper Yildirim

IPC: G06T5/00 ,  G06T7/80 ,  G06T7/13

Abstract: A computer-implemented method executed by at least one processor for reducing radial distortion errors in fish-eye images is presented. The method includes capturing an image from a camera including distortions, detecting arc-shaped edge segments in the image including the distortions, estimating a main distortion parameter by fixing a distortion centerpoint in a middle of the image, estimating the distortion centerpoint with the main distortion parameter, and obtaining an undistorted version of the captured image by inverting the distortion model.

公开(公告)号：US20210279471A1

公开(公告)日：2021-09-09

申请号：US17188194

申请日：2021-03-01

Applicant: NEC Laboratories America, Inc.

Inventor： Yi Yang ,  Biplob Debnath ,  Giuseppe Coviello ,  Oliver Po ,  Srimat Chakradhar ,  Yang Gao

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62

Abstract: A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.

公开(公告)号：US11087199B2

公开(公告)日：2021-08-10

申请号：US15789614

申请日：2017-10-20

Applicant: NEC Laboratories America, Inc.

Inventor： Renqiang Min ,  Asim Kadav ,  Huayu Li

IPC: G06N3/04 ,  G06N5/04 ,  G06N3/00

Abstract: A context-aware attention-based neural network is provided for answering an input question given a set of purportedly supporting statements for the input question. The neural network includes a processing element. The processing element is configured to calculate a question representation for the input question, based on word annotations and word-level attentions calculated for the input question. The processing element is further configured to calculate a sentence representation for each of the purportedly supporting statements, based on word annotations and word-level attentions calculated for each of the purportedly supporting statements. The processing element is also configured to calculate a context representation for the set of purportedly supporting statements with respect to the sentence representation for each of the purportedly supporting statements. The processing element is additionally configured to generate an answer to the input question based on the question representation and the context representation.

公开(公告)号：US11087174B2

公开(公告)日：2021-08-10

申请号：US16580497

申请日：2019-09-24

Applicant: NEC Laboratories America, Inc.

Inventor： Renqiang Min ,  Kai Li ,  Bing Bai ,  Hans Peter Graf

IPC: G06K9/62 ,  G06T7/00 ,  G06N3/04 ,  G06N3/08

Abstract: A method is provided for visual inspection. The method includes learning, by a processor, group disentangled visual feature embedding vectors of input images. The input images include defective objects and defect-free objects. The method further includes generating, by the processor using a weight generation network, classification weights from visual features and semantic descriptions. Both the visual features and the semantic descriptions are for predicting defective and defect-free labels. The method also includes calculating, by the processor, a cosine similarity score between the classification weights and the group disentangled visual feature embedding vectors. The method additionally includes episodically training, by the processor, the weight generation network on the input images to update parameters of the weight generation network. The method further includes generating, by the processor using the trained weight generation network, a prediction of a test image as including any of defective objects and defect-free objects.

公开(公告)号：US11087142B2

公开(公告)日：2021-08-10

申请号：US16567236

申请日：2019-09-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yi-Hsuan Tsai ,  Manmohan Chandraker ,  Shuyang Dai ,  Kihyuk Sohn

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62

Abstract: Systems and methods for recognizing fine-grained objects are provided. The system divides unlabeled training data from a target domain into two or more target subdomains using an attribute annotation. The system ranks the target subdomains based on a similarity to the source domain. The system applies multiple domain discriminators between each of the target subdomains and a mixture of the source domain and preceding target domains. The system recognizes, using the multiple domain discriminators for the target domain, fine-grained objects.

公开(公告)号：US11086814B2

公开(公告)日：2021-08-10

申请号：US15489039

申请日：2017-04-17

Applicant: NEC Laboratories America, Inc.

Inventor： Asim Kadav ,  Erik Kruus

IPC: G06F15/173

Abstract: Systems and methods for building a distributed learning framework, including generating a sparse communication network graph with a high overall spectral gap. The generating includes computing model parameters in distributed shared memory of a cluster of a plurality of worker nodes; determining a spectral gap of an adjacency matrix for the cluster using a stochastic reduce convergence analysis, wherein a spectral reduce is performed using a sparse reduce graph with a highest possible spectral gap value for a given network bandwidth capability; and optimizing the communication graph by iteratively performing the computing and determining until a threshold condition is reached. Each of the plurality of worker nodes is controlled using tunable approximation based on available bandwidth in a network in accordance with the generated sparse communication network graph.

公开(公告)号：US20210232917A1

公开(公告)日：2021-07-29

申请号：US17157270

申请日：2021-01-25

Applicant: NEC Laboratories America, Inc.

Inventor： Masanao Natsumeda ,  Haifeng Chen

IPC: G06N3/08 ,  G06Q10/00 ,  G06N3/04

Abstract: A computer-implemented method is provided for hardware management based on estimating a Remaining Useful Life (RUL) of an object. The method includes estimating the RUL at a time point preceding the RUL by two RUL estimation methods respectively applied to a first time series subsequence and a second time series subsequence from among an overall time series sequence. The first time series subsequence includes run-to-event data used in a first one of the two RUL estimation methods. The second time series subsequence is applied to a leaky truncated RUL function as a second one of the two RUL estimation methods to obtain a model for RUL estimation. The method further includes estimating the RULE at inference using the first one of the two RUL estimation methods. The method also includes selectively servicing or replacing the object with a replacement object responsive to the RUL.

公开(公告)号：US20210199512A1

公开(公告)日：2021-07-01

申请号：US16879876

申请日：2020-05-21

Applicant: NEC Laboratories America, Inc.

Inventor： Yaowen LI ,  Ming-Fang HUANG ,  Shuji MURAKAMI ,  Philip JI ,  Ting WANG

IPC: G01K11/324 ,  H04B10/50 ,  H04B10/2507

Abstract: Aspects of the present disclosure describe single mode fiber distributed temperature sensing (DTS) with improved noise characteristics employing superluminescent emitting diodes (SLEDs) and/or amplified spontaneous emission (ASE) light sources.

公开(公告)号：US20210174784A1

公开(公告)日：2021-06-10

申请号：US17114946

申请日：2020-12-08

Applicant: NEC Laboratories America, Inc.

Inventor： Renqiang Min ,  Christopher Malon ,  Hans Peter Graf

IPC: G10L15/06 ,  G06N3/08 ,  G10L15/16 ,  G10L15/22

Abstract: Methods and systems for disentangled data generation include accessing a dataset including pairs, each formed from a given input text structure and a given style label for the input text structures. An encoder is trained to disentangle a sequential text input into disentangled representations, including a content embedding and a style embedding, based on a subset of the dataset, using an objective function that includes a regularization term that minimizes mutual information between the content embedding and the style embedding. A generator is trained to generate a text output that includes content from the style embedding, expressed in a style other than that represented by the style embedding of the text input.