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公开(公告)号：US20220147767A1
公开(公告)日：2022-05-12
申请号：US17521252
申请日：2021-11-08
Applicant: NEC Laboratories America, Inc.
Inventor： Xiang Yu , Yi-Hsuan Tsai , Masoud Faraki , Ramin Moslemi , Manmohan Chandraker , Chang Liu
Abstract: A method for training a model for face recognition is provided. The method forward trains a training batch of samples to form a face recognition model w(t), and calculates sample weights for the batch. The method obtains a training batch gradient with respect to model weights thereof and updates, using the gradient, the model w(t) to a face recognition model what(t). The method forwards a validation batch of samples to the face recognition model what(t). The method obtains a validation batch gradient, and updates, using the validation batch gradient and what(t), a sample-level importance weight of samples in the training batch to obtain an updated sample-level importance weight. The method obtains a training batch upgraded gradient based on the updated sample-level importance weight of the training batch samples, and updates, using the upgraded gradient, the model w(t) to a trained model w(t+1) corresponding to a next iteration.
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公开(公告)号：US20220146304A1
公开(公告)日：2022-05-12
申请号：US17522844
申请日：2021-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Junqiang HU
Abstract: Aspects of the present disclosure are directed to improved systems, methods, and structures providing coherent detection of DAS. In sharp contrast to the prior art, systems, methods, and structures according to aspects of the present disclosure advantageously reduce the beating diversity terms such that required memory and bandwidth are reduced over the art.
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公开(公告)号：US20220144256A1
公开(公告)日：2022-05-12
申请号：US17521139
申请日：2021-11-08
Applicant: NEC Laboratories America, Inc.
Inventor： Sriram Nochur Narayanan , Ramin Moslemi , Francesco Pittaluga , Buyu Liu , Manmohan Chandraker
IPC: B60W30/09 , G06F16/29 , G06N3/08 , B60W30/095 , G08G1/16
Abstract: A method for driving path prediction is provided. The method concatenates past trajectory features and lane centerline features in a channel dimension at an agent's respective location in a top view map to obtain concatenated features thereat. The method obtains convolutional features derived from the top view map, the concatenated features, and a single representation of the training scene the vehicle and agent interactions. The method extracts hypercolumn descriptor vectors which include the convolutional features from the agent's respective location in the top view map. The method obtains primary and auxiliary trajectory predictions from the hypercolumn descriptor vectors. The method generates a respective score for each of the primary and auxiliary trajectory predictions. The method trains a vehicle trajectory prediction neural network using a reconstruction loss, a regularization loss objective, and an IOC loss objective responsive to the respective score for each of the primary and auxiliary trajectory predictions.
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公开(公告)号：US11320304B2
公开(公告)日：2022-05-03
申请号：US16879066
申请日：2020-05-20
Applicant: NEC Laboratories America, Inc.
Inventor： Yue-Kai Huang , Ezra Ip
IPC: G01H9/00
Abstract: Aspects of the present disclosure describe multi-frequency coherent distributed acoustic sensing with a single transmitter/receiver pair using an offset Tx/Rx framing scheme and an additional optical IQ modulator to generate the multiple frequency channels for DAS interrogation.
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公开(公告)号：US20220121953A1
公开(公告)日：2022-04-21
申请号：US17496214
申请日：2021-10-07
Applicant: NEC Laboratories America, Inc.
Inventor： Yumin Suh , Xiang Yu , Masoud Faraki , Manmohan Chandraker , Weijian Deng
Abstract: A method for multi-task learning via gradient split for rich human analysis is presented. The method includes extracting images from training data having a plurality of datasets, each dataset associated with one task, feeding the training data into a neural network model including a feature extractor and task-specific heads, wherein the feature extractor has a feature extractor shared component and a feature extractor task-specific component, dividing filters of deeper layers of convolutional layers of the feature extractor into N groups, N being a number of tasks, assigning one task to each group of the N groups, and manipulating gradients so that each task loss updates only one subset of filters.
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Patent Agency Ranking
公开(公告)号：US11301716B2
公开(公告)日：2022-04-12
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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公开(公告)号：US11297082B2
公开(公告)日：2022-04-05
申请号：US16535521
申请日：2019-08-08
Applicant: NEC Laboratories America, Inc.
Inventor： Junghwan Rhee , LuAn Tang , Zhengzhang Chen , Chung Hwan Kim , Zhichun Li , Ziqiao Zhou
IPC: H04L29/06 , G05B19/418
Abstract: A computer-implemented method for implementing protocol-independent anomaly detection within an industrial control system (ICS) includes implementing a detection stage, including performing byte filtering using a byte filtering model based on at least one new network packet associated with the ICS, performing horizontal detection to determine whether a horizontal constraint anomaly exists in the at least one network packet based on the byte filtering and a horizontal model, including analyzing constraints across different bytes of the at least one new network packet, performing message clustering based on the horizontal detection to generate first cluster information, and performing vertical detection to determine whether a vertical anomaly exists based on the first cluster information and a vertical model, including analyzing a temporal pattern of each byte of the at least one new network packet.
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公开(公告)号：US20220083781A1
公开(公告)日：2022-03-17
申请号：US17464099
申请日：2021-09-01
Applicant: NEC Laboratories America, Inc.
Inventor： Farley Lai , Asim Kadav , Anupriya Prasad
Abstract: A computer-implemented method is provided for compositional reasoning. The method includes producing a set of primitive predictions from an input sequence. Each of the primitive predictions is of a single action of a tracked subject to be composed in a complex action comprising multiple single actions. The method further includes performing contextual rule filtering of the primitive predictions to pass through filtered primitive predictions that interact with one or more entities of interest in the input sequence with respect to predefined contextual interaction criteria. The method includes performing, by a processor device, temporal rule matching by matching the filtered primitive predictions according to pre-defined temporal rules to identify complex event patterns in the sequence of primitive predictions.
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公开(公告)号：US20220076135A1
公开(公告)日：2022-03-10
申请号：US17391526
申请日：2021-08-02
Applicant: NEC Laboratories America, Inc.
Inventor： Zhengzhang Chen , Haifeng Chen , Yuening Li
Abstract: A method for employing meta-learning based feature disentanglement to extract transferrable knowledge in an unsupervised setting is presented. The method includes identifying how to transfer prior knowledge data from a plurality of source domains to one or more target domains, extracting domain dependence features and domain agnostic features from the prior knowledge data, via a disentangle meta-controller, by discovering factors of variation within the prior knowledge data received from a data stream, and obtaining an evaluation for a downstream task, via a child network, to obtain an optimal child model and a feature disentangle strategy.
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公开(公告)号：US20220075945A1
公开(公告)日：2022-03-10
申请号：US17464005
申请日：2021-09-01
Applicant: NEC Laboratories America, Inc.
Inventor： Xuchao Zhang , Yanchi Liu , Bo Zong , Wei Cheng , Haifeng Chen , Junxiang Wang
IPC: G06F40/284 , G06F40/205 , G06F40/295 , G06N3/04
Abstract: A computer-implemented method is provided for cross-lingual transfer. The method includes randomly masking a source corpus and a target corpus to obtain a masked source corpus and a masked target corpus. The method further includes tokenizing, by pretrained Natural Language Processing (NLP) models, the masked source corpus and the masked target corpus to obtain source tokens and target tokens. The method also includes transforming the source tokens and the target tokens into a source dependency parsing tree and a target dependency parsing tree. The method additionally includes inputting the source dependency parsing tree and the target dependency parsing tree into a graph encoder pretrained on a translation language modeling task to extract common language information for transfer. The method further includes fine-tuning the graph encoder and a down-stream network for a specific NLP down-stream task.
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