公开(公告)号：US20250131296A1

公开(公告)日：2025-04-24

申请号：US18619872

申请日：2024-03-28

Applicant: NEC Laboratories America, Inc.

Inventor： LuAn Tang ,  Peng Yuan ,  Haifeng Chen

IPC: G06N5/048

Abstract: Systems and methods for pre-processing time series data include assigning transition events from categorical time series data into a list of transition sets that each include transitions from a respective first category to a respective second category and determining a mean duration and standard deviation, for each transition set, of the respective first category before the transition to the respective second category. A ratio is compared between the mean duration and the standard deviation to a threshold value to identify noisy transition sets; removing noisy transition sets from the list of transition sets to output de-noised transition sets. A probability of an event occurrence is predicted using the de-noised transition sets, and an action is performed responsive to the probability.

公开(公告)号：US20250118096A1

公开(公告)日：2025-04-10

申请号：US18904571

申请日：2024-10-02

Applicant: NEC Laboratories America, Inc.

Inventor： Samuel Schulter ,  Abhishek Aich ,  Vijay Kumar Baikampady Gopalkrishna

IPC: G06V20/70 ,  G06F40/40 ,  G06T11/60 ,  G06V10/774 ,  G06V10/82 ,  G06V10/86 ,  G06V20/50

Abstract: Methods and systems for object detection include generating a negative description for an input image based on a positive description of the input image using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image.

公开(公告)号：US20250118010A1

公开(公告)日：2025-04-10

申请号：US18903411

申请日：2024-10-01

Applicant: NEC Laboratories America, Inc.

Inventor： Ziyu Jiang ,  Bingbing Zhuang ,  Manmohan Chandraker

IPC: G06T15/08 ,  G06T15/06 ,  G06T15/50

Abstract: A computer-implemented method for synthesizing an image includes capturing data from a scene and decomposing the captured scene into static objects; dynamic objects and sky. Bounding boxes are generated for the dynamic objects and motion is simulated for the dynamic objects as static movement of the bounding boxes. The dynamic objects and the static objects are merged according to density and color of sample points. The sky is blended into a merged version of the dynamic objects and the static objects, and an image is synthesized from volume rendered rays.

公开(公告)号：US20250115254A1

公开(公告)日：2025-04-10

申请号：US18905738

申请日：2024-10-03

Applicant: NEC Laboratories America, Inc.

Inventor： Buyu Liu ,  Francesco Pittaluga ,  Bingbing Zhuang ,  Manmohan Chandraker ,  Samuel Sohn

IPC: B60W50/00 ,  B60W60/00 ,  G05B13/02

Abstract: Systems and methods for a hybrid motion planner for autonomous vehicles. A multi-lane intelligent driver model (MIDM) can predict trajectory predictions from collected data by considering adjacent lanes of an ego vehicle. A multi-lane hybrid planning driver model (MPDM) can be trained using open-loop ground truth data and close-loop simulations to obtain a trained MPDM. The trained MPDM can predict planned trajectories with collected data and the trajectory predictions to generate final trajectories for the autonomous vehicles. The final trajectories can be employed to control the autonomous vehicles.

公开(公告)号：US12266174B2

公开(公告)日：2025-04-01

申请号：US17862667

申请日：2022-07-12

Applicant: NEC Laboratories America, Inc.

Inventor： Biplob Debnath ,  Srimat Chakradhar ,  Oliver Po ,  Asim Kadav ,  Farley Lai ,  Farhan Asif Chowdhury

IPC: G06V20/40 ,  G06N3/08 ,  G06V10/764 ,  G06V10/82

Abstract: Methods and systems of training a neural network include training a feature extractor and a classifier using a first set of training data that includes one or more base cases. The classifier is trained with few-shot adaptation using a second set of training data, smaller than the first set of training data, while keeping parameters of the feature extractor constant.

公开(公告)号：US12266157B2

公开(公告)日：2025-04-01

申请号：US17712617

申请日：2022-04-04

Applicant: NEC Laboratories America, Inc.

Inventor： Farley Lai ,  Asim Kadav

IPC: G06V10/774 ,  G06V10/62 ,  G06V10/764

Abstract: A method for augmenting video sequences in a video reasoning system is presented. The method includes randomly subsampling a sequence of video frames captured from one or more video cameras, randomly reversing the subsampled sequence of video frames to define a plurality of sub-sequences of randomly reversed video frames, training, in a training mode, a video reasoning model with temporally augmented input, including the plurality of sub-sequences of randomly reversed video frames, to make predictions over temporally augmented target classes, updating parameters of the video reasoning model by a machine leaning algorithm, and deploying, in an inference mode, the video reasoning model in the video reasoning system to make a final prediction related to a human action in the sequence of video frames.

公开(公告)号：US12256002B2

公开(公告)日：2025-03-18

申请号：US17589863

申请日：2022-01-31

Applicant: NEC Laboratories America, Inc.

Inventor： Qiang Wang ,  Junqiang Hu ,  Jian Fang ,  Yaowen Li ,  Ting Wang

IPC: H04L9/32 ,  G01K11/32 ,  H04L9/06

Abstract: Physimetric-based data security for coded distributed temperature sensing (DTS) in which physimetric information is extracted from a coded-DTS interrogator which is unique for each interrogator at each operating run time—and used to reconstruct a final temperature determination from DTS data. The physimetric information includes coded-DTS pulse code and coded-DTS pulse profile information as a key to permit secure sharing with authorized users. The pulse code and pulse profile information are encrypted and made available to an authorized user. The authorized user can then decrypt the pulse code and pulse profile information and subsequently use this key information (pulse profile and pulse code files) to retrieve temperature information from for example, a remote computer providing a continuous raw data feed—without being susceptible to eavesdropping. The pulse profile and pulse code files permit reconstruction of temperature from DTS continuous raw data feed which have no meaningful informational value to an eavesdropper who has no access to the unencrypted pulse profile and pulse code information.

公开(公告)号：US20250077848A1

公开(公告)日：2025-03-06

申请号：US18817793

申请日：2024-08-28

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Haoyu Wang ,  Zhengzhang Chen ,  Wei Cheng ,  Haifeng Chen ,  Yanchi Liu ,  Chen Ling

IPC: G06N3/0475 ,  G16H80/00

Abstract: Systems and methods for a demonstration uncertainty-based artificial intelligence model for open information extraction. A large language model (LLM) can generate initial structured sentences using an initial prompt for a domain-specific instruction extracted from an unstructured text input. Structural similarities between the initial structured sentences and sentences from a training dataset can be determined to obtain structurally similar sentences. The LLM can identify relational triplets from combinations of tokens from generated sentences using and the structurally similar sentences. The relational triplets can be filtered based on a calculated demonstration uncertainty to obtain a filtered triplet list. A domain-specific task can be performed using the filtered triplet list to assist the decision-making process of a decision-making entity.

公开(公告)号：US12245258B2

公开(公告)日：2025-03-04

申请号：US17714505

申请日：2022-04-06

Applicant: NEC Laboratories America, Inc.

Inventor： Mohammad Khojastepour

IPC: H04W72/54

Abstract: A method for implementing opportunistic user scheduling under long-term and short-term resource fairness constraints is presented. The method includes enabling a base station to communicate with a plurality mobile devices handled by a plurality of users within a single-cell wireless communication network, deriving a feasible region of resource block (RB) fairness vectors by enabling an opportunistic scheduler to select active users from the plurality of users at each RB, implementing an optimal user scheduling strategy to maximize system utility by optimizing, via the opportunistic scheduler, transmit power and user mode selection, wherein the optimal user scheduling strategy includes a threshold-based strategy (TBS) phase and a compensation phase, and employing a short-term resource fair scheduling strategy satisfying user resource demands over a finite window-length.

公开(公告)号：US12242542B2

公开(公告)日：2025-03-04

申请号：US17408852

申请日：2021-08-23

Applicant: NEC Laboratories America, Inc.

Inventor： Cristian Lumezanu ,  Yuncong Chen ,  Takehiko Mizoguchi ,  Dongjin Song ,  Haifeng Chen ,  Jurijs Nazarovs

IPC: G06F16/906

Abstract: A method classifies missing labels. The method computes, using a neural network model trained on training data, rank-based statistics of a feature of a time series segment to attempt to select two candidate labels from the training data that the segment most likely belongs to. The method classifies the segment using k-NN-based classification applied to the training data, responsive to the two candidate labels being present in the training data. The method classifies the segment by hypothesis testing, responsive to only one candidate label being present in the training data. The method classifies the segment into a class with higher values of the rank-based statistics from among a plurality of classes with different values of the rank-based statistics, responsive to no candidate labels being present in the training data. The method corrects a prediction by an applicable one of the classifying steps by majority voting with time windows.