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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：US11222238B2
公开(公告)日：2022-01-11
申请号：US17094261
申请日：2020-11-10
Applicant: NEC Laboratories America, Inc.
Inventor： Samuel Schulter , Gaurav Sharma , Yi-Hsuan Tsai , Manmohan Chandraker , Xiangyun Zhao
Abstract: Methods and systems for object detection include training dataset-specific object detectors using respective annotated datasets, each of the annotated datasets including annotations for a respective set of one or more object classes. The annotated datasets are cross-annotated using the dataset-specific object detectors. A unified object detector is trained, using the cross-annotated datasets, to detect all of the object classes of the annotated datasets. Objects are detected in an input image using the unified object detector.
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公开(公告)号：US10915792B2
公开(公告)日：2021-02-09
申请号：US16535681
申请日：2019-08-08
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Kihyuk Sohn , Buyu Liu , Manmohan Chandraker , Jong-Chyi Su
Abstract: Systems and methods for domain adaptation are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.
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公开(公告)号：US12080100B2
公开(公告)日：2024-09-03
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
IPC: G06V40/16 , G06F18/214 , G06V20/52 , G06V40/10
CPC classification number: G06V40/172 , G06F18/214 , G06V20/52 , G06V40/103
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：US11580334B2
公开(公告)日：2023-02-14
申请号：US17128612
申请日：2020-12-21
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Kihyuk Sohn , Buyu Liu , Manmohan Chandraker , Jong-Chyi Su
Abstract: Systems and methods for construction zone segmentation are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The target domain includes construction zones scenes having various objects. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.
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Patent Agency Ranking
公开(公告)号：US11520923B2
公开(公告)日：2022-12-06
申请号：US16674425
申请日：2019-11-05
Applicant: NEC Laboratories America, Inc.
Inventor： Kihyuk Sohn , Manmohan Chandraker , Yi-Hsuan Tsai
Abstract: A method for protecting visual private data by preventing data reconstruction from latent representations of deep networks is presented. The method includes obtaining latent features from an input image and learning, via an adversarial reconstruction learning framework, privacy-preserving feature representations to maintain utility performance and prevent the data reconstruction by simulating a black-box model inversion attack by training a decoder to reconstruct the input image from the latent features and training an encoder to maximize a reconstruction error to prevent the decoder from inverting the latent features while minimizing the task loss.
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17.发明授权公开(公告)号：US11462112B2
公开(公告)日：2022-10-04
申请号：US16787727
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Samuel Schulter , Paul Vernaza , Buyu Liu , Pan Ji , Yi-Hsuan Tsai , Manmohan Chandraker
Abstract: A method is provided in an Advanced Driver-Assistance System (ADAS). The method extracts, from an input video stream including a plurality of images using a multi-task Convolutional Neural Network (CNN), shared features across different perception tasks. The perception tasks include object detection and other perception tasks. The method concurrently solves, using the multi-task CNN, the different perception tasks in a single pass by concurrently processing corresponding ones of the shared features by respective different branches of the multi-task CNN to provide a plurality of different perception task outputs. Each respective different branch corresponds to a respective one of the different perception tasks. The method forms a parametric representation of a driving scene as at least one top-view map responsive to the plurality of different perception task outputs. The method controls an operation of the vehicle for collision avoidance responsive to the at least one top-view map indicating an impending collision.
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公开(公告)号：US20220147761A1
公开(公告)日：2022-05-12
申请号：US17521057
申请日：2021-11-08
Applicant: NEC Laboratories America, Inc.
Inventor： Yi-Hsuan Tsai , Xiang Yu , Bingbing Zhuang , Manmohan Chandraker , Donghyun Kim
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：US20220067457A1
公开(公告)日：2022-03-03
申请号：US17412704
申请日：2021-08-26
Applicant: NEC Laboratories America, Inc.
Inventor： Francesco Pittaluga , Giovanni Milione , Xiang Yu , Manmohan Chandraker , Yi-Hsuan Tsai , Zaid Tasneem
Abstract: A method for acquiring privacy-enhancing encodings in an optical domain before image capture is presented. The method includes feeding a differentiable sensing model with a plurality of images to obtain encoded images, the differentiable sensing model including parameters for sensor optics, integrating the differentiable sensing model into an adversarial learning framework where parameters of attack networks, parameters of utility networks, and the parameters of the sensor optics are concurrently updated, and, once adversarial training is complete, validating efficacy of a learned sensor design by fixing the parameters of the sensor optics and training the attack networks and the utility networks to learn to estimate private and public attributes, respectively, from a set of the encoded images.
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公开(公告)号：US20210374468A1
公开(公告)日：2021-12-02
申请号：US17330832
申请日：2021-05-26
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Ting Wang , Xiang Xu , Francesco Pittaluga , Gaurav Sharma , Yi-Hsuan Tsai , Masoud Faraki , Yuheng Chen , Yue Tian , Ming-Fang Huang , Jian Fang
Abstract: Methods and systems for training a neural network include generate an image of a mask. A copy of an image is generated from an original set of training data. The copy is altered to add the image of a mask to a face detected within the copy. An augmented set of training data is generated that includes the original set of training data and the altered copy. A neural network model is trained to recognize masked faces using the augmented set of training data.
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